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154 Commits

Author SHA1 Message Date
Abi Raja
a53afd350d update sdxl-lightning references to flux 2024-09-20 16:45:16 +02:00
Abi Raja
6899c7792e when all generations fail, print the all the underlying exceptions for debugging 2024-09-20 13:56:20 +02:00
Abi Raja
9199fee21d keep generating even if one of the models fails 2024-09-17 15:56:35 +02:00
Abi Raja
8717298def switch to flux schnell for replicate image gen 2024-09-17 12:20:19 +02:00
Abi Raja
a4087e613f make variant 1 claude 2024-09-16 15:21:57 +02:00
Abi Raja
cf6b94d675 update favicon/branding 2024-09-14 17:44:57 +02:00
Abi Raja
589507846b remove model selection dropdown since that happens on the background now 2024-09-13 14:41:00 +02:00
Abi Raja
24995c302e
Merge pull request #394 from abi/multiple-generations
Support multiple variants for each generation
2024-09-06 11:43:44 -04:00
Abi Raja
e4b021c2a4 remove debugging statement 2024-09-06 17:41:19 +02:00
Abi Raja
b4a9bbd9da fix unit tests 2024-08-31 17:22:18 +02:00
Abi Raja
0db8a206f2 disable variants for video 2024-08-31 15:47:44 +02:00
Abi Raja
c1fc28624d remove unused code 2024-08-31 15:43:02 +02:00
Abi Raja
c55e5d7923 remove unused code 2024-08-30 16:32:20 +02:00
Abi Raja
67ce707c3c
Update README.md 2024-08-30 08:47:27 -04:00
Abi Raja
5d33dd6bf3 fix TODO 2024-08-30 14:07:30 +02:00
Abi Raja
67e7066221 fix some TODOs 2024-08-30 13:45:28 +02:00
Abi Raja
e67239745c fix type error 2024-08-30 13:32:59 +02:00
Abi Raja
ce6a0622d0 fix TODO 2024-08-30 13:19:24 +02:00
Abi Raja
6542289931 fix some TODOs 2024-08-29 18:43:40 +02:00
Abi Raja
0ff42d9083 make commits immutable after a new commit is added 2024-08-29 17:57:52 +02:00
Abi Raja
f09b1c3c7f remove comment 2024-08-22 16:56:12 -04:00
Abi Raja
bf3e4eecb2 throw exceptions so Sentry can capture them 2024-08-22 16:55:39 -04:00
Abi Raja
939d4eebf8 nit 2024-08-22 16:42:51 -04:00
Abi Raja
a243480d78 streamline createCommit helper 2024-08-22 16:38:39 -04:00
Abi Raja
30d5cd2b65 move commit code into one file 2024-08-22 16:27:42 -04:00
Abi Raja
637f75b93e clean up history rendering 2024-08-22 15:20:20 -04:00
Abi Raja
13f93e259d clean up HistoryDisplay a little bit 2024-08-22 13:59:25 -04:00
Abi Raja
c900201417 support import from code 2024-08-22 13:51:40 -04:00
Abi Raja
089f4302d2 cleaner resets with resetHead 2024-08-22 13:32:12 -04:00
Abi Raja
8e8f0b4b64 intermediate changes towards multiple generations 2024-08-22 13:26:42 -04:00
Abi Raja
5f6dd08411 reset inputMode when resetting state 2024-08-05 16:17:48 -04:00
Abi Raja
b158597d7e fix bug with prompt assembly for imported code with Claude which disallows multiple user messages in a row 2024-08-05 14:11:01 -04:00
Abi Raja
fb5480b036 fix type error 2024-07-31 16:05:16 -04:00
Abi Raja
c76c7c202a move parameter extraction to separate fn 2024-07-31 15:46:53 -04:00
Abi Raja
823bd2e249 hide execution console 2024-07-31 14:44:33 -04:00
Abi Raja
710f2987a4 merge 2024-07-31 14:40:52 -04:00
Abi Raja
5c3f915bce parallelize just image generation 2024-07-31 13:36:22 -04:00
Abi Raja
701d97ec74 add comments 2024-07-31 11:27:26 -04:00
Abi Raja
7b2e2963ad print for debugging 2024-07-31 11:25:49 -04:00
Abi Raja
637c1b4c1d fix TODO 2024-07-31 11:22:25 -04:00
Abi Raja
c61a2ac772 fix TODO 2024-07-31 11:18:35 -04:00
Abi Raja
bcb89a3c23 refactor 2024-07-31 11:15:56 -04:00
Abi Raja
3591588e2b abstract out prompt assembly into a separate function 2024-07-31 11:07:30 -04:00
Abi Raja
dd7a51dd34 refactor 2024-07-31 10:16:03 -04:00
Abi Raja
3fbc0f9458 refactor 2024-07-31 10:15:07 -04:00
Abi Raja
ff12790883 refactor 2024-07-31 10:14:23 -04:00
Abi Raja
0f731598dd refactor to get .get() 2024-07-31 10:10:13 -04:00
Abi Raja
64dd7d6279 refactor 2024-07-31 10:04:04 -04:00
Abi Raja
96658819f3 fix issue with loading variants 2024-07-31 09:53:21 -04:00
Abi Raja
24a123db36 refactors 2024-07-30 16:37:36 -04:00
Abi Raja
64926408b0 refactor 2024-07-30 16:29:06 -04:00
Abi Raja
0700de7767 standardize to using typed send_message 2024-07-30 16:27:04 -04:00
Abi Raja
46c480931a make execution console show logs from both variants 2024-07-30 16:23:53 -04:00
Abi Raja
f52ca306a5 fix bug with handling setCode 2024-07-30 16:09:02 -04:00
Abi Raja
aff9352dc0 set up multiple generations 2024-07-30 15:44:48 -04:00
Abi Raja
4b0adc5769 poll more frequently and print timing logs 2024-07-29 16:33:04 -04:00
Abi Raja
52099e0853 create a eval script for sdxl lightning (replicate) vs dalle and support using replicate for image generation when key is set 2024-07-29 16:23:59 -04:00
Abi Raja
d7ab620e0b deep copy messages to avoid modifying the original list in the Claude LLM call 2024-07-26 11:56:21 -04:00
Abi Raja
21f553a0d8 add more comments 2024-07-25 15:20:06 -04:00
Abi Raja
7af2e34415 add more comments 2024-07-25 15:15:33 -04:00
Abi Raja
59b031e395 add comments and rename some code 2024-07-25 15:03:43 -04:00
Abi Raja
88f4e81b96 update comment 2024-07-25 14:59:13 -04:00
Abi Raja
40c0f52075 abstract out takeScreenshot 2024-07-25 14:58:18 -04:00
Abi Raja
7eac0741e0 hide execution console 2024-07-25 14:51:19 -04:00
Abi Raja
9b8ec5b67c abstract into GenerationSettings 2024-07-25 14:50:37 -04:00
Abi Raja
c72484a72c move files into folders 2024-07-25 14:43:20 -04:00
Abi Raja
0d639b4920 move files around and abstract to DeprecationMessage 2024-07-25 14:40:48 -04:00
Abi Raja
1a3086cc9a move download code to separate file 2024-07-25 14:36:22 -04:00
Abi Raja
993ff88e2b abstract into more components 2024-07-25 14:35:04 -04:00
Abi Raja
deb2375146 isolate history component by using projectStore directly 2024-07-25 12:45:03 -04:00
Abi Raja
dcef298dba also use appHistory 2024-07-25 12:37:06 -04:00
Abi Raja
83f6f00b10 also use currentVersion 2024-07-25 12:33:31 -04:00
Abi Raja
98951e0382 move some state over to zustand store 2024-07-25 12:32:17 -04:00
Abi Raja
fd6a8f779d add comment 2024-07-19 16:39:21 -04:00
Abi Raja
ba0d51a34f remove react warning 2024-07-19 16:11:46 -04:00
Abi Raja
3f6fcdea25 remove unused UI 2024-07-19 16:01:30 -04:00
Abi Raja
54b59c85d6 add eval runner for text prompt 2024-07-19 09:25:11 -04:00
Abi Raja
9d11866143 improve evals code 2024-07-19 07:55:44 -04:00
Abi Raja
9f732c4f5d update max tokens for Claude Sonnet 3.5 to newly supported limit (8192) 2024-07-15 18:51:22 -04:00
Abi Raja
a2d6fda7fd update QA tests to use 4o and Claude Sonnet 2024-07-15 16:33:39 -04:00
Abi Raja
329b8e8e77 update front-end to indicate status of deprecated models 2024-07-11 16:34:48 -04:00
Abi Raja
9b99cad286 auto-upgrade usage of older models 2024-07-11 16:26:26 -04:00
Abi Raja
6c2bd1eb64 rename to KeyboardShortcutBadge 2024-07-11 14:20:50 -04:00
Abi Raja
f6da5eb0d4 add keyboard shortcut badge for update buttons 2024-07-11 14:18:31 -04:00
Abi Raja
9f034f7dcc improve dark mode of select and edit popup 2024-07-11 13:58:17 -04:00
Abi Raja
24a7462c9f support enter to update, shift + enter to create a new line and focus on update textarea after coding 2024-07-11 13:53:49 -04:00
Abi Raja
9ec3adad19 fix bug where a image with dimensions larger than what Claude can accept but under the file size limit Claude can accept was not resized 2024-07-03 10:06:04 -04:00
Abi Raja
d2359f644c for images sent to Claude, resize if dimension exceeds limit 2024-06-27 17:59:15 +08:00
Abi Raja
8e8ad1409f
Merge pull request #227 from fulit103/add-html-css-option
Add HTML/CSS system prompt and update stack descriptions
2024-06-27 16:25:46 +08:00
Abi Raja
606f535bc2 enable Select and Edit for HTML + CSS stack 2024-06-27 16:24:06 +08:00
Abi Raja
38a06517fb add unit tests for the prompt assembly 2024-06-27 16:08:41 +08:00
Abi Raja
638053a54c add HTML + CSS prompt for imported code 2024-06-27 16:02:06 +08:00
Abi Raja
ec1bada3e2 fix type errors introduced with previous changes 2024-06-27 16:01:28 +08:00
Abi Raja
51e06a4c4b fix order and update README 2024-06-27 15:03:42 +08:00
Abi Raja
d4e182cfe0 update name of stack 2024-06-27 14:58:14 +08:00
Abi Raja
0200274e61 Merge branch 'main' into pr/227 2024-06-27 14:44:24 +08:00
Abi Raja
901ce332a5 update default model to Claude 3.5 Sonnet 2024-06-26 16:52:07 +08:00
Abi Raja
edfd16ef1d extract only html content 2024-06-26 16:36:33 +08:00
Abi Raja
89e442423c
Update README.md 2024-06-26 02:37:54 -04:00
Abi Raja
9dfb0dc5b8 do not allow empty updates 2024-06-26 13:39:22 +08:00
Abi Raja
4288cf2088 fix imported code prompt for Claude which doesn't allow multiple 'user' role messages in a row 2024-06-26 13:21:12 +08:00
Abi Raja
6be83b4a2d process images to be under 5mb for Claude 2024-06-25 20:57:41 +08:00
Abi Raja
5843e75760 enable select and edit for Claude 3.5 2024-06-25 06:11:01 +08:00
Abi Raja
6fe7098201
Update README.md 2024-06-24 04:16:29 -04:00
Abi Raja
9a4fbd4591
Merge pull request #358 from moas/patch-1
Fix Python version in dockerfile to avoid TypeError
2024-06-23 05:48:44 -04:00
Abi Raja
f75294ca64 update better model banner to include sonnet 3.5 2024-06-22 19:41:56 +08:00
Abi Raja
49a24d8b0c support Claude Sonnet 3.5 2024-06-22 19:39:49 +08:00
Oscar Landry L
9e2eb0c58c
Update Dockerfile
fix error:
TypeError: ForwardRef._evaluate() missing 1 required keyword-only argument: 'recursive_guard'
2024-06-11 14:58:18 +02:00
Abi Raja
392b9849a2
Merge pull request #355 from abi/select-and-edit
Add "Select and Edit" functionality for easier edits
2024-06-05 20:59:57 -04:00
Abi Raja
f7c9209d18 remove unused code 2024-06-05 20:49:31 -04:00
Abi Raja
1c13897f45 remove dummy state 2024-06-05 20:46:52 -04:00
Abi Raja
402a279eaf revert debugging statements 2024-06-05 20:41:35 -04:00
Abi Raja
465dc64439
Merge pull request #317 from MarcusLeoTKM/nodeversion
Changed node version from 20.9 to 22
2024-06-05 15:47:44 -04:00
Abi Raja
228870f8fc
Merge pull request #353 from naman1608/fix-docker-pupeteer-skip
[FIX] modify frontend dockerfile to skip puppeteer download
2024-06-05 15:26:33 -04:00
Abi Raja
561ac0b088
Merge pull request #348 from naman1608/type-fixes
full typed in image generation file
2024-06-05 15:21:41 -04:00
Abi Raja
7cd9b294c3 fix another type ignore 2024-06-05 15:18:54 -04:00
Abi Raja
8de0e95c54 fix up types 2024-06-05 15:12:47 -04:00
Naman Dhingra
a73b1f6dc3 modify frontend dockerfile to skip puppeteer download 2024-06-05 00:31:21 +05:30
Abi Raja
9fe32ba6e8 move inSelectAndEditMode to inside EditPopup 2024-05-31 21:39:12 -04:00
Abi Raja
e1265b2b75 make enter submit the change 2024-05-31 18:45:45 -04:00
Abi Raja
5f3868f3c9 fix bug with focusing textarea 2024-05-31 18:36:11 -04:00
Abi Raja
423c74bdc9 focus the textarea when the popup is visible 2024-05-31 18:33:42 -04:00
Abi Raja
3fbb8f074a reset should disable select and edit mode 2024-05-31 18:27:47 -04:00
Abi Raja
a7c905a301 update icon and text 2024-05-31 18:22:30 -04:00
Abi Raja
5a62fce52d
Merge pull request #341 from naman1608/handle-none-types
handle none type in llm.py
2024-05-31 15:04:32 -04:00
Abi Raja
b9fb11b6fd Merge branch 'main' into pr/341 2024-05-31 14:44:52 -04:00
Abi Raja
328dc7931d
Update README.md 2024-05-31 14:44:11 -04:00
Abi Raja
2204896e31
Update Troubleshooting.md 2024-05-31 14:40:25 -04:00
Abi Raja
22e45cc566
Merge pull request #329 from abi/add-anthropic-key
Add field for Anthropic API key in settings
2024-05-31 14:35:47 -04:00
Abi Raja
f6f8b2f707 fix bug 2024-05-31 14:24:01 -04:00
Abi Raja
0959441834 Merge branch 'main' into add-anthropic-key 2024-05-31 14:07:50 -04:00
Abi Raja
c64968b8f0 read anthropic api key from front-end 2024-05-31 14:06:08 -04:00
Abi Raja
8e579e425e clean up settings dialog look 2024-05-31 13:51:43 -04:00
Abi Raja
9cfcf928d0 isolate functionality
use zustand to share state rather than prop drilling

isolate more functionality away into a separate component
2024-05-30 10:43:12 -04:00
Abi Raja
9e2cbdce94 Merge branch 'main' into select-and-edit 2024-05-30 09:38:24 -04:00
Abi Raja
9d1fbc9b23 add zustand and create a dummy app store that isn't used yet 2024-05-30 09:38:15 -04:00
Abi Raja
43ae003c83 clean up code even further 2024-05-29 17:28:09 -04:00
Abi Raja
2709312943 move more of the code into EditPopup 2024-05-29 16:53:36 -04:00
Abi Raja
b0e7ae35af clean up more of the code 2024-05-29 16:36:20 -04:00
Abi Raja
f18724104c add for debugging 2024-05-29 15:32:19 -04:00
Abi Raja
82132d57aa improve look of popup 2024-05-29 14:54:50 -04:00
Abi Raja
608ba5cc6f improve x and y position 2024-05-29 14:48:01 -04:00
Abi Raja
97cdb093a5 basic UI for selecting and editing 2024-05-29 14:40:46 -04:00
Abi Raja
939539611f
Update README.md 2024-05-29 11:03:40 -04:00
Naman
f0ee686660 null check for chunk.choices 2024-05-29 13:15:23 +05:30
Naman
c5695975c7 handle none type in llm.py 2024-05-29 13:15:23 +05:30
Naman
d31ebcaa27 types fix in image generation file 2024-05-29 07:11:03 +05:30
Abi Raja
23e631765e
Create FUNDING.yml 2024-05-23 12:19:28 -04:00
Abi Raja
bef9aa831a
Update README.md 2024-05-23 12:00:59 -04:00
Abi Raja
bf38200d2a
Merge pull request #337 from abi/qa-testing
Add e2e tests
2024-05-21 10:47:04 -04:00
Abi Raja
1f9c5b2c80 set initial value 2024-05-17 14:47:54 -04:00
Abi Raja
ac8198e5ba Add field for Anthropic API key in settings 2024-05-17 12:30:26 -04:00
Leo
06a022a8c0 changed node version from 20.9 to 22 2024-04-30 16:32:38 -07:00
Julian Toro
7c1fb7a54d Add HTML/CSS system prompt and update stack descriptions 2024-02-02 10:19:52 -05:00
73 changed files with 3021 additions and 1226 deletions

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.github/FUNDING.yml vendored Normal file
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github: [abi]

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# screenshot-to-code # screenshot-to-code
A simple tool to convert screenshots, mockups and Figma designs into clean, functional code using AI. **Now supporting GPT-4O!** A simple tool to convert screenshots, mockups and Figma designs into clean, functional code using AI. **Now supporting Claude Sonnet 3.5 and GPT-4O!**
https://github.com/abi/screenshot-to-code/assets/23818/6cebadae-2fe3-4986-ac6a-8fb9db030045 https://github.com/abi/screenshot-to-code/assets/23818/6cebadae-2fe3-4986-ac6a-8fb9db030045
Supported stacks: Supported stacks:
- HTML + Tailwind - HTML + Tailwind
- HTML + CSS
- React + Tailwind - React + Tailwind
- Vue + Tailwind - Vue + Tailwind
- Bootstrap - Bootstrap
@ -15,7 +16,8 @@ Supported stacks:
Supported AI models: Supported AI models:
- GPT-4O - Best model! - Claude Sonnet 3.5 - Best model!
- GPT-4O - also recommended!
- GPT-4 Turbo (Apr 2024) - GPT-4 Turbo (Apr 2024)
- GPT-4 Vision (Nov 2023) - GPT-4 Vision (Nov 2023)
- Claude 3 Sonnet - Claude 3 Sonnet
@ -31,13 +33,18 @@ We also just added experimental support for taking a video/screen recording of a
[Follow me on Twitter for updates](https://twitter.com/_abi_). [Follow me on Twitter for updates](https://twitter.com/_abi_).
## 🚀 Try It Out without no install ## 🚀 Hosted Version
[Try it live on the hosted version (paid)](https://screenshottocode.com). [Try it live on the hosted version (paid)](https://screenshottocode.com).
## 🛠 Getting Started ## 🛠 Getting Started
The app has a React/Vite frontend and a FastAPI backend. You will need an OpenAI API key with access to the GPT-4 Vision API or an Anthropic key if you want to use Claude Sonnet, or for experimental video support. The app has a React/Vite frontend and a FastAPI backend.
Keys needed:
- [OpenAI API key with access to GPT-4](https://github.com/abi/screenshot-to-code/blob/main/Troubleshooting.md)
- Anthropic key (optional) - only if you want to use Claude Sonnet, or for experimental video support.
Run the backend (I use Poetry for package management - `pip install poetry` if you don't have it): Run the backend (I use Poetry for package management - `pip install poetry` if you don't have it):
@ -49,7 +56,7 @@ poetry shell
poetry run uvicorn main:app --reload --port 7001 poetry run uvicorn main:app --reload --port 7001
``` ```
If you want to use Anthropic, add the `ANTHROPIC_API_KEY` to `backend/.env` with your API key from Anthropic. If you want to use Anthropic, add `ANTHROPIC_API_KEY` to `backend/.env`. You can also set up the keys using the settings dialog on the front-end (click the gear icon after loading the frontend).
Run the frontend: Run the frontend:
@ -84,7 +91,7 @@ The app will be up and running at http://localhost:5173. Note that you can't dev
- **I'm running into an error when setting up the backend. How can I fix it?** [Try this](https://github.com/abi/screenshot-to-code/issues/3#issuecomment-1814777959). If that still doesn't work, open an issue. - **I'm running into an error when setting up the backend. How can I fix it?** [Try this](https://github.com/abi/screenshot-to-code/issues/3#issuecomment-1814777959). If that still doesn't work, open an issue.
- **How do I get an OpenAI API key?** See https://github.com/abi/screenshot-to-code/blob/main/Troubleshooting.md - **How do I get an OpenAI API key?** See https://github.com/abi/screenshot-to-code/blob/main/Troubleshooting.md
- **How can I configure an OpenAI proxy?** - If you're not able to access the OpenAI API directly (due to e.g. country restrictions), you can try a VPN or you can configure the OpenAI base URL to use a proxy: Set OPENAI_BASE_URL in the `backend/.env` or directly in the UI in the settings dialog. Make sure the URL has "v1" in the path so it should look like this: `https://xxx.xxxxx.xxx/v1` - **How can I configure an OpenAI proxy?** - If you're not able to access the OpenAI API directly (due to e.g. country restrictions), you can try a VPN or you can configure the OpenAI base URL to use a proxy: Set OPENAI_BASE_URL in the `backend/.env` or directly in the UI in the settings dialog. Make sure the URL has "v1" in the path so it should look like this: `https://xxx.xxxxx.xxx/v1`
- **How can I update the backend host that my front-end connects to?** - Configure VITE_HTTP_BACKEND_URL and VITE_WS_BACKEND_URL in front/.env.local For example, set VITE_HTTP_BACKEND_URL=http://124.10.20.1:7001 - **How can I update the backend host that my front-end connects to?** - Configure VITE_HTTP_BACKEND_URL and VITE_WS_BACKEND_URL in front/.env.local For example, set VITE_HTTP_BACKEND_URL=http://124.10.20.1:7001
- **Seeing UTF-8 errors when running the backend?** - On windows, open the .env file with notepad++, then go to Encoding and select UTF-8. - **Seeing UTF-8 errors when running the backend?** - On windows, open the .env file with notepad++, then go to Encoding and select UTF-8.
- **How can I provide feedback?** For feedback, feature requests and bug reports, open an issue or ping me on [Twitter](https://twitter.com/_abi_). - **How can I provide feedback?** For feedback, feature requests and bug reports, open an issue or ping me on [Twitter](https://twitter.com/_abi_).
@ -108,5 +115,3 @@ https://github.com/abi/screenshot-to-code/assets/23818/3fec0f77-44e8-4fb3-a769-a
## 🌍 Hosted Version ## 🌍 Hosted Version
🆕 [Try it here (paid)](https://screenshottocode.com). Or see [Getting Started](#-getting-started) for local install instructions to use with your own API keys. 🆕 [Try it here (paid)](https://screenshottocode.com). Or see [Getting Started](#-getting-started) for local install instructions to use with your own API keys.
[!["Buy Me A Coffee"](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/abiraja)

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@ -1,4 +1,4 @@
### Getting an OpenAI API key with GPT4-Vision model access ### Getting an OpenAI API key with GPT-4 model access
You don't need a ChatGPT Pro account. Screenshot to code uses API keys from your OpenAI developer account. In order to get access to the GPT4 Vision model, log into your OpenAI account and then, follow these instructions: You don't need a ChatGPT Pro account. Screenshot to code uses API keys from your OpenAI developer account. In order to get access to the GPT4 Vision model, log into your OpenAI account and then, follow these instructions:

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@ -7,19 +7,19 @@ repos:
- id: end-of-file-fixer - id: end-of-file-fixer
- id: check-yaml - id: check-yaml
- id: check-added-large-files - id: check-added-large-files
- repo: local # - repo: local
hooks: # hooks:
- id: poetry-pytest # - id: poetry-pytest
name: Run pytest with Poetry # name: Run pytest with Poetry
entry: poetry run --directory backend pytest # entry: poetry run --directory backend pytest
language: system # language: system
pass_filenames: false # pass_filenames: false
always_run: true # always_run: true
files: ^backend/ # files: ^backend/
# - id: poetry-pyright # # - id: poetry-pyright
# name: Run pyright with Poetry # # name: Run pyright with Poetry
# entry: poetry run --directory backend pyright # # entry: poetry run --directory backend pyright
# language: system # # language: system
# pass_filenames: false # # pass_filenames: false
# always_run: true # # always_run: true
# files: ^backend/ # # files: ^backend/

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@ -1,4 +1,4 @@
FROM python:3.12-slim-bullseye FROM python:3.12.3-slim-bullseye
ENV POETRY_VERSION 1.4.1 ENV POETRY_VERSION 1.4.1

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@ -0,0 +1,57 @@
import unittest
from codegen.utils import extract_html_content
class TestUtils(unittest.TestCase):
def test_extract_html_content_with_html_tags(self):
text = "<html><body><p>Hello, World!</p></body></html>"
expected = "<html><body><p>Hello, World!</p></body></html>"
result = extract_html_content(text)
self.assertEqual(result, expected)
def test_extract_html_content_without_html_tags(self):
text = "No HTML content here."
expected = "No HTML content here."
result = extract_html_content(text)
self.assertEqual(result, expected)
def test_extract_html_content_with_partial_html_tags(self):
text = "<html><body><p>Hello, World!</p></body>"
expected = "<html><body><p>Hello, World!</p></body>"
result = extract_html_content(text)
self.assertEqual(result, expected)
def test_extract_html_content_with_multiple_html_tags(self):
text = "<html><body><p>First</p></body></html> Some text <html><body><p>Second</p></body></html>"
expected = "<html><body><p>First</p></body></html>"
result = extract_html_content(text)
self.assertEqual(result, expected)
## The following are tests based on actual LLM outputs
def test_extract_html_content_some_explanation_before(self):
text = """Got it! You want the song list to be displayed horizontally. I'll update the code to ensure that the song list is displayed in a horizontal layout.
Here's the updated code:
<html lang="en"><head></head><body class="bg-black text-white"></body></html>"""
expected = '<html lang="en"><head></head><body class="bg-black text-white"></body></html>'
result = extract_html_content(text)
self.assertEqual(result, expected)
def test_markdown_tags(self):
text = "```html<head></head>```"
expected = "```html<head></head>```"
result = extract_html_content(text)
self.assertEqual(result, expected)
def test_doctype_text(self):
text = '<!DOCTYPE html><html lang="en"><head></head><body></body></html>'
expected = '<html lang="en"><head></head><body></body></html>'
result = extract_html_content(text)
self.assertEqual(result, expected)
if __name__ == "__main__":
unittest.main()

14
backend/codegen/utils.py Normal file
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@ -0,0 +1,14 @@
import re
def extract_html_content(text: str):
# Use regex to find content within <html> tags and include the tags themselves
match = re.search(r"(<html.*?>.*?</html>)", text, re.DOTALL)
if match:
return match.group(1)
else:
# Otherwise, we just send the previous HTML over
print(
"[HTML Extraction] No <html> tags found in the generated content: " + text
)
return text

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@ -3,7 +3,15 @@
# TODO: Should only be set to true when value is 'True', not any abitrary truthy value # TODO: Should only be set to true when value is 'True', not any abitrary truthy value
import os import os
NUM_VARIANTS = 2
# LLM-related
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", None)
ANTHROPIC_API_KEY = os.environ.get("ANTHROPIC_API_KEY", None) ANTHROPIC_API_KEY = os.environ.get("ANTHROPIC_API_KEY", None)
OPENAI_BASE_URL = os.environ.get("OPENAI_BASE_URL", None)
# Image generation (optional)
REPLICATE_API_KEY = os.environ.get("REPLICATE_API_KEY", None)
# Debugging-related # Debugging-related

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@ -1,37 +1,40 @@
import os from config import ANTHROPIC_API_KEY, OPENAI_API_KEY
from config import ANTHROPIC_API_KEY
from llm import Llm, stream_claude_response, stream_openai_response from llm import Llm, stream_claude_response, stream_openai_response
from prompts import assemble_prompt from prompts import assemble_prompt
from prompts.types import Stack from prompts.types import Stack
from openai.types.chat import ChatCompletionMessageParam
async def generate_code_core(image_url: str, stack: Stack, model: Llm) -> str: async def generate_code_for_image(image_url: str, stack: Stack, model: Llm) -> str:
prompt_messages = assemble_prompt(image_url, stack) prompt_messages = assemble_prompt(image_url, stack)
openai_api_key = os.environ.get("OPENAI_API_KEY") return await generate_code_core(prompt_messages, model)
anthropic_api_key = ANTHROPIC_API_KEY
openai_base_url = None
async def process_chunk(content: str):
async def generate_code_core(
prompt_messages: list[ChatCompletionMessageParam], model: Llm
) -> str:
async def process_chunk(_: str):
pass pass
if model == Llm.CLAUDE_3_SONNET: if model == Llm.CLAUDE_3_SONNET or model == Llm.CLAUDE_3_5_SONNET_2024_06_20:
if not anthropic_api_key: if not ANTHROPIC_API_KEY:
raise Exception("Anthropic API key not found") raise Exception("Anthropic API key not found")
completion = await stream_claude_response( completion = await stream_claude_response(
prompt_messages, prompt_messages,
api_key=anthropic_api_key, api_key=ANTHROPIC_API_KEY,
callback=lambda x: process_chunk(x), callback=lambda x: process_chunk(x),
model=model,
) )
else: else:
if not openai_api_key: if not OPENAI_API_KEY:
raise Exception("OpenAI API key not found") raise Exception("OpenAI API key not found")
completion = await stream_openai_response( completion = await stream_openai_response(
prompt_messages, prompt_messages,
api_key=openai_api_key, api_key=OPENAI_API_KEY,
base_url=openai_base_url, base_url=None,
callback=lambda x: process_chunk(x), callback=lambda x: process_chunk(x),
model=model, model=model,
) )

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@ -0,0 +1,23 @@
from datetime import datetime
import json
import os
from openai.types.chat import ChatCompletionMessageParam
def write_logs(prompt_messages: list[ChatCompletionMessageParam], completion: str):
# Get the logs path from environment, default to the current working directory
logs_path = os.environ.get("LOGS_PATH", os.getcwd())
# Create run_logs directory if it doesn't exist within the specified logs path
logs_directory = os.path.join(logs_path, "run_logs")
if not os.path.exists(logs_directory):
os.makedirs(logs_directory)
print("Writing to logs directory:", logs_directory)
# Generate a unique filename using the current timestamp within the logs directory
filename = datetime.now().strftime(f"{logs_directory}/messages_%Y%m%d_%H%M%S.json")
# Write the messages dict into a new file for each run
with open(filename, "w") as f:
f.write(json.dumps({"prompt": prompt_messages, "completion": completion}))

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@ -1,40 +1,72 @@
import asyncio import asyncio
import re import re
from typing import Dict, List, Union from typing import Dict, List, Literal, Union
from openai import AsyncOpenAI from openai import AsyncOpenAI
from bs4 import BeautifulSoup from bs4 import BeautifulSoup
from image_generation.replicate import call_replicate
async def process_tasks(prompts: List[str], api_key: str, base_url: str):
tasks = [generate_image(prompt, api_key, base_url) for prompt in prompts] async def process_tasks(
prompts: List[str],
api_key: str,
base_url: str | None,
model: Literal["dalle3", "flux"],
):
import time
start_time = time.time()
if model == "dalle3":
tasks = [generate_image_dalle(prompt, api_key, base_url) for prompt in prompts]
else:
tasks = [generate_image_replicate(prompt, api_key) for prompt in prompts]
results = await asyncio.gather(*tasks, return_exceptions=True) results = await asyncio.gather(*tasks, return_exceptions=True)
end_time = time.time()
generation_time = end_time - start_time
print(f"Image generation time: {generation_time:.2f} seconds")
processed_results: List[Union[str, None]] = [] processed_results: List[Union[str, None]] = []
for result in results: for result in results:
if isinstance(result, Exception): if isinstance(result, BaseException):
print(f"An exception occurred: {result}") print(f"An exception occurred: {result}")
processed_results.append(None) processed_results.append(None)
else: else:
processed_results.append(result) # type: ignore processed_results.append(result)
return processed_results return processed_results
async def generate_image(prompt: str, api_key: str, base_url: str): async def generate_image_dalle(
prompt: str, api_key: str, base_url: str | None
) -> Union[str, None]:
client = AsyncOpenAI(api_key=api_key, base_url=base_url) client = AsyncOpenAI(api_key=api_key, base_url=base_url)
image_params: Dict[str, Union[str, int]] = { res = await client.images.generate(
"model": "dall-e-3", model="dall-e-3",
"quality": "standard", quality="standard",
"style": "natural", style="natural",
"n": 1, n=1,
"size": "1024x1024", size="1024x1024",
"prompt": prompt, prompt=prompt,
} )
res = await client.images.generate(**image_params) # type: ignore
await client.close() await client.close()
return res.data[0].url return res.data[0].url
async def generate_image_replicate(prompt: str, api_key: str) -> str:
# We use Flux Schnell
return await call_replicate(
{
"prompt": prompt,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"output_quality": 100,
},
api_key,
)
def extract_dimensions(url: str): def extract_dimensions(url: str):
# Regular expression to match numbers in the format '300x200' # Regular expression to match numbers in the format '300x200'
matches = re.findall(r"(\d+)x(\d+)", url) matches = re.findall(r"(\d+)x(\d+)", url)
@ -62,14 +94,18 @@ def create_alt_url_mapping(code: str) -> Dict[str, str]:
async def generate_images( async def generate_images(
code: str, api_key: str, base_url: Union[str, None], image_cache: Dict[str, str] code: str,
): api_key: str,
base_url: Union[str, None],
image_cache: Dict[str, str],
model: Literal["dalle3", "flux"] = "dalle3",
) -> str:
# Find all images # Find all images
soup = BeautifulSoup(code, "html.parser") soup = BeautifulSoup(code, "html.parser")
images = soup.find_all("img") images = soup.find_all("img")
# Extract alt texts as image prompts # Extract alt texts as image prompts
alts = [] alts: List[str | None] = []
for img in images: for img in images:
# Only include URL if the image starts with https://placehold.co # Only include URL if the image starts with https://placehold.co
# and it's not already in the image_cache # and it's not already in the image_cache
@ -77,26 +113,26 @@ async def generate_images(
img["src"].startswith("https://placehold.co") img["src"].startswith("https://placehold.co")
and image_cache.get(img.get("alt")) is None and image_cache.get(img.get("alt")) is None
): ):
alts.append(img.get("alt", None)) # type: ignore alts.append(img.get("alt", None))
# Exclude images with no alt text # Exclude images with no alt text
alts = [alt for alt in alts if alt is not None] # type: ignore filtered_alts: List[str] = [alt for alt in alts if alt is not None]
# Remove duplicates # Remove duplicates
prompts = list(set(alts)) # type: ignore prompts = list(set(filtered_alts))
# Return early if there are no images to replace # Return early if there are no images to replace
if len(prompts) == 0: # type: ignore if len(prompts) == 0:
return code return code
# Generate images # Generate images
results = await process_tasks(prompts, api_key, base_url) # type: ignore results = await process_tasks(prompts, api_key, base_url, model)
# Create a dict mapping alt text to image URL # Create a dict mapping alt text to image URL
mapped_image_urls = dict(zip(prompts, results)) # type: ignore mapped_image_urls = dict(zip(prompts, results))
# Merge with image_cache # Merge with image_cache
mapped_image_urls = {**mapped_image_urls, **image_cache} # type: ignore mapped_image_urls = {**mapped_image_urls, **image_cache}
# Replace old image URLs with the generated URLs # Replace old image URLs with the generated URLs
for img in images: for img in images:

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@ -0,0 +1,65 @@
import asyncio
import httpx
async def call_replicate(input: dict[str, str | int], api_token: str) -> str:
headers = {
"Authorization": f"Bearer {api_token}",
"Content-Type": "application/json",
}
data = {"input": input}
async with httpx.AsyncClient() as client:
try:
response = await client.post(
"https://api.replicate.com/v1/models/black-forest-labs/flux-schnell/predictions",
headers=headers,
json=data,
)
response.raise_for_status()
response_json = response.json()
# Extract the id from the response
prediction_id = response_json.get("id")
if not prediction_id:
raise ValueError("Prediction ID not found in initial response.")
# Polling every 0.1 seconds until the status is succeeded or error (upto 10s)
num_polls = 0
max_polls = 100
while num_polls < max_polls:
num_polls += 1
await asyncio.sleep(0.1)
# Check the status
status_check_url = (
f"https://api.replicate.com/v1/predictions/{prediction_id}"
)
status_response = await client.get(status_check_url, headers=headers)
status_response.raise_for_status()
status_response_json = status_response.json()
status = status_response_json.get("status")
# If status is succeeded or if there's an error, break out of the loop
if status == "succeeded":
return status_response_json["output"][0]
elif status == "error":
raise ValueError(
f"Inference errored out: {status_response_json.get('error', 'Unknown error')}"
)
elif status == "failed":
raise ValueError("Inference failed")
# If we've reached here, it means we've exceeded the max number of polls
raise TimeoutError("Inference timed out")
except httpx.HTTPStatusError as e:
raise ValueError(f"HTTP error occurred: {e}")
except httpx.RequestError as e:
raise ValueError(f"An error occurred while requesting: {e}")
except asyncio.TimeoutError:
raise TimeoutError("Request timed out")
except Exception as e:
raise ValueError(f"An unexpected error occurred: {e}")

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@ -0,0 +1,80 @@
import base64
import io
import time
from PIL import Image
CLAUDE_IMAGE_MAX_SIZE = 5 * 1024 * 1024
CLAUDE_MAX_IMAGE_DIMENSION = 7990
# Process image so it meets Claude requirements
def process_image(image_data_url: str) -> tuple[str, str]:
# Extract bytes and media type from base64 data URL
media_type = image_data_url.split(";")[0].split(":")[1]
base64_data = image_data_url.split(",")[1]
image_bytes = base64.b64decode(base64_data)
img = Image.open(io.BytesIO(image_bytes))
# Check if image is under max dimensions and size
is_under_dimension_limit = (
img.width < CLAUDE_MAX_IMAGE_DIMENSION
and img.height < CLAUDE_MAX_IMAGE_DIMENSION
)
is_under_size_limit = len(base64_data) <= CLAUDE_IMAGE_MAX_SIZE
# If image is under both limits, no processing needed
if is_under_dimension_limit and is_under_size_limit:
print("[CLAUDE IMAGE PROCESSING] no processing needed")
return (media_type, base64_data)
# Time image processing
start_time = time.time()
# Check if either dimension exceeds 7900px (Claude disallows >= 8000px)
# Resize image if needed
if not is_under_dimension_limit:
# Calculate the new dimensions while maintaining aspect ratio
if img.width > img.height:
new_width = CLAUDE_MAX_IMAGE_DIMENSION
new_height = int((CLAUDE_MAX_IMAGE_DIMENSION / img.width) * img.height)
else:
new_height = CLAUDE_MAX_IMAGE_DIMENSION
new_width = int((CLAUDE_MAX_IMAGE_DIMENSION / img.height) * img.width)
# Resize the image
img = img.resize((new_width, new_height), Image.DEFAULT_STRATEGY)
print(
f"[CLAUDE IMAGE PROCESSING] image resized: width = {new_width}, height = {new_height}"
)
# Convert and compress as JPEG
# We always compress as JPEG (95% at the least) even when we resize and the original image
# is under the size limit.
quality = 95
output = io.BytesIO()
img = img.convert("RGB") # Ensure image is in RGB mode for JPEG conversion
img.save(output, format="JPEG", quality=quality)
# Reduce quality until image is under max size
while (
len(base64.b64encode(output.getvalue())) > CLAUDE_IMAGE_MAX_SIZE
and quality > 10
):
output = io.BytesIO()
img.save(output, format="JPEG", quality=quality)
quality -= 5
# Log so we know it was modified
old_size = len(base64_data)
new_size = len(base64.b64encode(output.getvalue()))
print(
f"[CLAUDE IMAGE PROCESSING] image size updated: old size = {old_size} bytes, new size = {new_size} bytes"
)
end_time = time.time()
processing_time = end_time - start_time
print(f"[CLAUDE IMAGE PROCESSING] processing time: {processing_time:.2f} seconds")
return ("image/jpeg", base64.b64encode(output.getvalue()).decode("utf-8"))

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@ -1,3 +1,4 @@
import copy
from enum import Enum from enum import Enum
from typing import Any, Awaitable, Callable, List, cast from typing import Any, Awaitable, Callable, List, cast
from anthropic import AsyncAnthropic from anthropic import AsyncAnthropic
@ -5,6 +6,7 @@ from openai import AsyncOpenAI
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk
from config import IS_DEBUG_ENABLED from config import IS_DEBUG_ENABLED
from debug.DebugFileWriter import DebugFileWriter from debug.DebugFileWriter import DebugFileWriter
from image_processing.utils import process_image
from utils import pprint_prompt from utils import pprint_prompt
@ -17,6 +19,7 @@ class Llm(Enum):
CLAUDE_3_SONNET = "claude-3-sonnet-20240229" CLAUDE_3_SONNET = "claude-3-sonnet-20240229"
CLAUDE_3_OPUS = "claude-3-opus-20240229" CLAUDE_3_OPUS = "claude-3-opus-20240229"
CLAUDE_3_HAIKU = "claude-3-haiku-20240307" CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
CLAUDE_3_5_SONNET_2024_06_20 = "claude-3-5-sonnet-20240620"
# Will throw errors if you send a garbage string # Will throw errors if you send a garbage string
@ -59,9 +62,15 @@ async def stream_openai_response(
full_response = "" full_response = ""
async for chunk in stream: # type: ignore async for chunk in stream: # type: ignore
assert isinstance(chunk, ChatCompletionChunk) assert isinstance(chunk, ChatCompletionChunk)
content = chunk.choices[0].delta.content or "" if (
full_response += content chunk.choices
await callback(content) and len(chunk.choices) > 0
and chunk.choices[0].delta
and chunk.choices[0].delta.content
):
content = chunk.choices[0].delta.content or ""
full_response += content
await callback(content)
await client.close() await client.close()
@ -73,18 +82,22 @@ async def stream_claude_response(
messages: List[ChatCompletionMessageParam], messages: List[ChatCompletionMessageParam],
api_key: str, api_key: str,
callback: Callable[[str], Awaitable[None]], callback: Callable[[str], Awaitable[None]],
model: Llm,
) -> str: ) -> str:
client = AsyncAnthropic(api_key=api_key) client = AsyncAnthropic(api_key=api_key)
# Base parameters # Base parameters
model = Llm.CLAUDE_3_SONNET max_tokens = 8192
max_tokens = 4096
temperature = 0.0 temperature = 0.0
# Translate OpenAI messages to Claude messages # Translate OpenAI messages to Claude messages
system_prompt = cast(str, messages[0].get("content"))
claude_messages = [dict(message) for message in messages[1:]] # Deep copy messages to avoid modifying the original list
cloned_messages = copy.deepcopy(messages)
system_prompt = cast(str, cloned_messages[0].get("content"))
claude_messages = [dict(message) for message in cloned_messages[1:]]
for message in claude_messages: for message in claude_messages:
if not isinstance(message["content"], list): if not isinstance(message["content"], list):
continue continue
@ -96,8 +109,10 @@ async def stream_claude_response(
# Extract base64 data and media type from data URL # Extract base64 data and media type from data URL
# Example base64 data URL: data:image/png;base64,iVBOR... # Example base64 data URL: data:image/png;base64,iVBOR...
image_data_url = cast(str, content["image_url"]["url"]) image_data_url = cast(str, content["image_url"]["url"])
media_type = image_data_url.split(";")[0].split(":")[1]
base64_data = image_data_url.split(",")[1] # Process image and split media type and data
# so it works with Claude (under 5mb in base64 encoding)
(media_type, base64_data) = process_image(image_data_url)
# Remove OpenAI parameter # Remove OpenAI parameter
del content["image_url"] del content["image_url"]
@ -115,6 +130,7 @@ async def stream_claude_response(
temperature=temperature, temperature=temperature,
system=system_prompt, system=system_prompt,
messages=claude_messages, # type: ignore messages=claude_messages, # type: ignore
extra_headers={"anthropic-beta": "max-tokens-3-5-sonnet-2024-07-15"},
) as stream: ) as stream:
async for text in stream.text_stream: async for text in stream.text_stream:
await callback(text) await callback(text)

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@ -8,7 +8,7 @@ STREAM_CHUNK_SIZE = 20
async def mock_completion( async def mock_completion(
process_chunk: Callable[[str], Awaitable[None]], input_mode: InputMode process_chunk: Callable[[str, int], Awaitable[None]], input_mode: InputMode
) -> str: ) -> str:
code_to_return = ( code_to_return = (
TALLY_FORM_VIDEO_PROMPT_MOCK TALLY_FORM_VIDEO_PROMPT_MOCK
@ -17,7 +17,7 @@ async def mock_completion(
) )
for i in range(0, len(code_to_return), STREAM_CHUNK_SIZE): for i in range(0, len(code_to_return), STREAM_CHUNK_SIZE):
await process_chunk(code_to_return[i : i + STREAM_CHUNK_SIZE]) await process_chunk(code_to_return[i : i + STREAM_CHUNK_SIZE], 0)
await asyncio.sleep(0.01) await asyncio.sleep(0.01)
if input_mode == "video": if input_mode == "video":

581
backend/poetry.lock generated
View File

@ -1,5 +1,115 @@
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
name = "aiohttp"
version = "3.9.5"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
{file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fcde4c397f673fdec23e6b05ebf8d4751314fa7c24f93334bf1f1364c1c69ac7"},
{file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d6b3f1fabe465e819aed2c421a6743d8debbde79b6a8600739300630a01bf2c"},
{file = "aiohttp-3.9.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ae79c1bc12c34082d92bf9422764f799aee4746fd7a392db46b7fd357d4a17a"},
{file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d3ebb9e1316ec74277d19c5f482f98cc65a73ccd5430540d6d11682cd857430"},
{file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84dabd95154f43a2ea80deffec9cb44d2e301e38a0c9d331cc4aa0166fe28ae3"},
{file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c8a02fbeca6f63cb1f0475c799679057fc9268b77075ab7cf3f1c600e81dd46b"},
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[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.10" python-versions = "^3.10"
content-hash = "274fed55cf4a2f4e9954b3d196c103b72225409c6050759a939f0ca197ae3f79" content-hash = "9cec287b530dcda39515e7c76eed76d88eb0c725f37148af5ef93083cfb46ad8"

View File

@ -1,10 +1,12 @@
from typing import List, NoReturn, Union from typing import Union
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionContentPartParam from openai.types.chat import ChatCompletionMessageParam, ChatCompletionContentPartParam
from custom_types import InputMode
from image_generation.core import create_alt_url_mapping
from prompts.imported_code_prompts import IMPORTED_CODE_SYSTEM_PROMPTS from prompts.imported_code_prompts import IMPORTED_CODE_SYSTEM_PROMPTS
from prompts.screenshot_system_prompts import SYSTEM_PROMPTS from prompts.screenshot_system_prompts import SYSTEM_PROMPTS
from prompts.types import Stack from prompts.types import Stack
from video.utils import assemble_claude_prompt_video
USER_PROMPT = """ USER_PROMPT = """
@ -16,9 +18,65 @@ Generate code for a SVG that looks exactly like this.
""" """
async def create_prompt(
params: dict[str, str], stack: Stack, input_mode: InputMode
) -> tuple[list[ChatCompletionMessageParam], dict[str, str]]:
image_cache: dict[str, str] = {}
# If this generation started off with imported code, we need to assemble the prompt differently
if params.get("isImportedFromCode"):
original_imported_code = params["history"][0]
prompt_messages = assemble_imported_code_prompt(original_imported_code, stack)
for index, text in enumerate(params["history"][1:]):
if index % 2 == 0:
message: ChatCompletionMessageParam = {
"role": "user",
"content": text,
}
else:
message: ChatCompletionMessageParam = {
"role": "assistant",
"content": text,
}
prompt_messages.append(message)
else:
# Assemble the prompt for non-imported code
if params.get("resultImage"):
prompt_messages = assemble_prompt(
params["image"], stack, params["resultImage"]
)
else:
prompt_messages = assemble_prompt(params["image"], stack)
if params["generationType"] == "update":
# Transform the history tree into message format
# TODO: Move this to frontend
for index, text in enumerate(params["history"]):
if index % 2 == 0:
message: ChatCompletionMessageParam = {
"role": "assistant",
"content": text,
}
else:
message: ChatCompletionMessageParam = {
"role": "user",
"content": text,
}
prompt_messages.append(message)
image_cache = create_alt_url_mapping(params["history"][-2])
if input_mode == "video":
video_data_url = params["image"]
prompt_messages = await assemble_claude_prompt_video(video_data_url)
return prompt_messages, image_cache
def assemble_imported_code_prompt( def assemble_imported_code_prompt(
code: str, stack: Stack, result_image_data_url: Union[str, None] = None code: str, stack: Stack
) -> List[ChatCompletionMessageParam]: ) -> list[ChatCompletionMessageParam]:
system_content = IMPORTED_CODE_SYSTEM_PROMPTS[stack] system_content = IMPORTED_CODE_SYSTEM_PROMPTS[stack]
user_content = ( user_content = (
@ -26,15 +84,12 @@ def assemble_imported_code_prompt(
if stack != "svg" if stack != "svg"
else "Here is the code of the SVG: " + code else "Here is the code of the SVG: " + code
) )
return [ return [
{ {
"role": "system", "role": "system",
"content": system_content, "content": system_content + "\n " + user_content,
}, }
{
"role": "user",
"content": user_content,
},
] ]
# TODO: Use result_image_data_url # TODO: Use result_image_data_url
@ -43,11 +98,11 @@ def assemble_prompt(
image_data_url: str, image_data_url: str,
stack: Stack, stack: Stack,
result_image_data_url: Union[str, None] = None, result_image_data_url: Union[str, None] = None,
) -> List[ChatCompletionMessageParam]: ) -> list[ChatCompletionMessageParam]:
system_content = SYSTEM_PROMPTS[stack] system_content = SYSTEM_PROMPTS[stack]
user_prompt = USER_PROMPT if stack != "svg" else SVG_USER_PROMPT user_prompt = USER_PROMPT if stack != "svg" else SVG_USER_PROMPT
user_content: List[ChatCompletionContentPartParam] = [ user_content: list[ChatCompletionContentPartParam] = [
{ {
"type": "image_url", "type": "image_url",
"image_url": {"url": image_data_url, "detail": "high"}, "image_url": {"url": image_data_url, "detail": "high"},

View File

@ -18,6 +18,22 @@ Return only the full code in <html></html> tags.
Do not include markdown "```" or "```html" at the start or end. Do not include markdown "```" or "```html" at the start or end.
""" """
IMPORTED_CODE_HTML_CSS_SYSTEM_PROMPT = """
You are an expert CSS developer.
- Do not add comments in the code such as "<!-- Add other navigation links as needed -->" and "<!-- ... other news items ... -->" in place of writing the full code. WRITE THE FULL CODE.
- Repeat elements as needed. For example, if there are 15 items, the code should have 15 items. DO NOT LEAVE comments like "<!-- Repeat for each news item -->" or bad things will happen.
- For images, use placeholder images from https://placehold.co and include a detailed description of the image in the alt text so that an image generation AI can generate the image later.
In terms of libraries,
- You can use Google Fonts
- Font Awesome for icons: <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"></link>
Return only the full code in <html></html> tags.
Do not include markdown "```" or "```html" at the start or end.
"""
IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT = """ IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT = """
You are an expert React/Tailwind developer You are an expert React/Tailwind developer
@ -128,6 +144,7 @@ Do not include markdown "```" or "```svg" at the start or end.
IMPORTED_CODE_SYSTEM_PROMPTS = SystemPrompts( IMPORTED_CODE_SYSTEM_PROMPTS = SystemPrompts(
html_tailwind=IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT, html_tailwind=IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT,
html_css=IMPORTED_CODE_HTML_CSS_SYSTEM_PROMPT,
react_tailwind=IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT, react_tailwind=IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT,
bootstrap=IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT, bootstrap=IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT,
ionic_tailwind=IMPORTED_CODE_IONIC_TAILWIND_SYSTEM_PROMPT, ionic_tailwind=IMPORTED_CODE_IONIC_TAILWIND_SYSTEM_PROMPT,

View File

@ -26,6 +26,30 @@ Return only the full code in <html></html> tags.
Do not include markdown "```" or "```html" at the start or end. Do not include markdown "```" or "```html" at the start or end.
""" """
HTML_CSS_SYSTEM_PROMPT = """
You are an expert CSS developer
You take screenshots of a reference web page from the user, and then build single page apps
using CSS, HTML and JS.
You might also be given a screenshot(The second image) of a web page that you have already built, and asked to
update it to look more like the reference image(The first image).
- Make sure the app looks exactly like the screenshot.
- Pay close attention to background color, text color, font size, font family,
padding, margin, border, etc. Match the colors and sizes exactly.
- Use the exact text from the screenshot.
- Do not add comments in the code such as "<!-- Add other navigation links as needed -->" and "<!-- ... other news items ... -->" in place of writing the full code. WRITE THE FULL CODE.
- Repeat elements as needed to match the screenshot. For example, if there are 15 items, the code should have 15 items. DO NOT LEAVE comments like "<!-- Repeat for each news item -->" or bad things will happen.
- For images, use placeholder images from https://placehold.co and include a detailed description of the image in the alt text so that an image generation AI can generate the image later.
In terms of libraries,
- You can use Google Fonts
- Font Awesome for icons: <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"></link>
Return only the full code in <html></html> tags.
Do not include markdown "```" or "```html" at the start or end.
"""
BOOTSTRAP_SYSTEM_PROMPT = """ BOOTSTRAP_SYSTEM_PROMPT = """
You are an expert Bootstrap developer You are an expert Bootstrap developer
You take screenshots of a reference web page from the user, and then build single page apps You take screenshots of a reference web page from the user, and then build single page apps
@ -176,6 +200,7 @@ Do not include markdown "```" or "```svg" at the start or end.
SYSTEM_PROMPTS = SystemPrompts( SYSTEM_PROMPTS = SystemPrompts(
html_css=HTML_CSS_SYSTEM_PROMPT,
html_tailwind=HTML_TAILWIND_SYSTEM_PROMPT, html_tailwind=HTML_TAILWIND_SYSTEM_PROMPT,
react_tailwind=REACT_TAILWIND_SYSTEM_PROMPT, react_tailwind=REACT_TAILWIND_SYSTEM_PROMPT,
bootstrap=BOOTSTRAP_SYSTEM_PROMPT, bootstrap=BOOTSTRAP_SYSTEM_PROMPT,

View File

@ -1,3 +1,4 @@
from llm import Llm
from prompts import assemble_imported_code_prompt, assemble_prompt from prompts import assemble_imported_code_prompt, assemble_prompt
TAILWIND_SYSTEM_PROMPT = """ TAILWIND_SYSTEM_PROMPT = """
@ -25,6 +26,30 @@ Return only the full code in <html></html> tags.
Do not include markdown "```" or "```html" at the start or end. Do not include markdown "```" or "```html" at the start or end.
""" """
HTML_CSS_SYSTEM_PROMPT = """
You are an expert CSS developer
You take screenshots of a reference web page from the user, and then build single page apps
using CSS, HTML and JS.
You might also be given a screenshot(The second image) of a web page that you have already built, and asked to
update it to look more like the reference image(The first image).
- Make sure the app looks exactly like the screenshot.
- Pay close attention to background color, text color, font size, font family,
padding, margin, border, etc. Match the colors and sizes exactly.
- Use the exact text from the screenshot.
- Do not add comments in the code such as "<!-- Add other navigation links as needed -->" and "<!-- ... other news items ... -->" in place of writing the full code. WRITE THE FULL CODE.
- Repeat elements as needed to match the screenshot. For example, if there are 15 items, the code should have 15 items. DO NOT LEAVE comments like "<!-- Repeat for each news item -->" or bad things will happen.
- For images, use placeholder images from https://placehold.co and include a detailed description of the image in the alt text so that an image generation AI can generate the image later.
In terms of libraries,
- You can use Google Fonts
- Font Awesome for icons: <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"></link>
Return only the full code in <html></html> tags.
Do not include markdown "```" or "```html" at the start or end.
"""
BOOTSTRAP_SYSTEM_PROMPT = """ BOOTSTRAP_SYSTEM_PROMPT = """
You are an expert Bootstrap developer You are an expert Bootstrap developer
You take screenshots of a reference web page from the user, and then build single page apps You take screenshots of a reference web page from the user, and then build single page apps
@ -189,6 +214,22 @@ Return only the full code in <html></html> tags.
Do not include markdown "```" or "```html" at the start or end. Do not include markdown "```" or "```html" at the start or end.
""" """
IMPORTED_CODE_HTML_CSS_SYSTEM_PROMPT = """
You are an expert CSS developer.
- Do not add comments in the code such as "<!-- Add other navigation links as needed -->" and "<!-- ... other news items ... -->" in place of writing the full code. WRITE THE FULL CODE.
- Repeat elements as needed. For example, if there are 15 items, the code should have 15 items. DO NOT LEAVE comments like "<!-- Repeat for each news item -->" or bad things will happen.
- For images, use placeholder images from https://placehold.co and include a detailed description of the image in the alt text so that an image generation AI can generate the image later.
In terms of libraries,
- You can use Google Fonts
- Font Awesome for icons: <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"></link>
Return only the full code in <html></html> tags.
Do not include markdown "```" or "```html" at the start or end.
"""
IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT = """ IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT = """
You are an expert React/Tailwind developer You are an expert React/Tailwind developer
@ -314,6 +355,12 @@ def test_prompts():
assert tailwind_prompt[0].get("content") == TAILWIND_SYSTEM_PROMPT assert tailwind_prompt[0].get("content") == TAILWIND_SYSTEM_PROMPT
assert tailwind_prompt[1]["content"][2]["text"] == USER_PROMPT # type: ignore assert tailwind_prompt[1]["content"][2]["text"] == USER_PROMPT # type: ignore
html_css_prompt = assemble_prompt(
"image_data_url", "html_css", "result_image_data_url"
)
assert html_css_prompt[0].get("content") == HTML_CSS_SYSTEM_PROMPT
assert html_css_prompt[1]["content"][2]["text"] == USER_PROMPT # type: ignore
react_tailwind_prompt = assemble_prompt( react_tailwind_prompt = assemble_prompt(
"image_data_url", "react_tailwind", "result_image_data_url" "image_data_url", "react_tailwind", "result_image_data_url"
) )
@ -344,54 +391,81 @@ def test_prompts():
def test_imported_code_prompts(): def test_imported_code_prompts():
tailwind_prompt = assemble_imported_code_prompt( code = "Sample code"
"code", "html_tailwind", "result_image_data_url"
) tailwind_prompt = assemble_imported_code_prompt(code, "html_tailwind")
expected_tailwind_prompt = [ expected_tailwind_prompt = [
{"role": "system", "content": IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT}, {
{"role": "user", "content": "Here is the code of the app: code"}, "role": "system",
"content": IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT
+ "\n Here is the code of the app: "
+ code,
}
] ]
assert tailwind_prompt == expected_tailwind_prompt assert tailwind_prompt == expected_tailwind_prompt
react_tailwind_prompt = assemble_imported_code_prompt( html_css_prompt = assemble_imported_code_prompt(code, "html_css")
"code", "react_tailwind", "result_image_data_url" expected_html_css_prompt = [
) {
"role": "system",
"content": IMPORTED_CODE_HTML_CSS_SYSTEM_PROMPT
+ "\n Here is the code of the app: "
+ code,
}
]
assert html_css_prompt == expected_html_css_prompt
react_tailwind_prompt = assemble_imported_code_prompt(code, "react_tailwind")
expected_react_tailwind_prompt = [ expected_react_tailwind_prompt = [
{"role": "system", "content": IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT}, {
{"role": "user", "content": "Here is the code of the app: code"}, "role": "system",
"content": IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT
+ "\n Here is the code of the app: "
+ code,
}
] ]
assert react_tailwind_prompt == expected_react_tailwind_prompt assert react_tailwind_prompt == expected_react_tailwind_prompt
bootstrap_prompt = assemble_imported_code_prompt( bootstrap_prompt = assemble_imported_code_prompt(code, "bootstrap")
"code", "bootstrap", "result_image_data_url"
)
expected_bootstrap_prompt = [ expected_bootstrap_prompt = [
{"role": "system", "content": IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT}, {
{"role": "user", "content": "Here is the code of the app: code"}, "role": "system",
"content": IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT
+ "\n Here is the code of the app: "
+ code,
}
] ]
assert bootstrap_prompt == expected_bootstrap_prompt assert bootstrap_prompt == expected_bootstrap_prompt
ionic_tailwind = assemble_imported_code_prompt( ionic_tailwind = assemble_imported_code_prompt(code, "ionic_tailwind")
"code", "ionic_tailwind", "result_image_data_url"
)
expected_ionic_tailwind = [ expected_ionic_tailwind = [
{"role": "system", "content": IMPORTED_CODE_IONIC_TAILWIND_SYSTEM_PROMPT}, {
{"role": "user", "content": "Here is the code of the app: code"}, "role": "system",
"content": IMPORTED_CODE_IONIC_TAILWIND_SYSTEM_PROMPT
+ "\n Here is the code of the app: "
+ code,
}
] ]
assert ionic_tailwind == expected_ionic_tailwind assert ionic_tailwind == expected_ionic_tailwind
vue_tailwind = assemble_imported_code_prompt( vue_tailwind = assemble_imported_code_prompt(code, "vue_tailwind")
"code", "vue_tailwind", "result_image_data_url"
)
expected_vue_tailwind = [ expected_vue_tailwind = [
{"role": "system", "content": IMPORTED_CODE_VUE_TAILWIND_PROMPT}, {
{"role": "user", "content": "Here is the code of the app: code"}, "role": "system",
"content": IMPORTED_CODE_VUE_TAILWIND_PROMPT
+ "\n Here is the code of the app: "
+ code,
}
] ]
assert vue_tailwind == expected_vue_tailwind assert vue_tailwind == expected_vue_tailwind
svg = assemble_imported_code_prompt("code", "svg", "result_image_data_url") svg = assemble_imported_code_prompt(code, "svg")
expected_svg = [ expected_svg = [
{"role": "system", "content": IMPORTED_CODE_SVG_SYSTEM_PROMPT}, {
{"role": "user", "content": "Here is the code of the SVG: code"}, "role": "system",
"content": IMPORTED_CODE_SVG_SYSTEM_PROMPT
+ "\n Here is the code of the SVG: "
+ code,
}
] ]
assert svg == expected_svg assert svg == expected_svg

View File

@ -2,6 +2,7 @@ from typing import Literal, TypedDict
class SystemPrompts(TypedDict): class SystemPrompts(TypedDict):
html_css: str
html_tailwind: str html_tailwind: str
react_tailwind: str react_tailwind: str
bootstrap: str bootstrap: str
@ -11,6 +12,7 @@ class SystemPrompts(TypedDict):
Stack = Literal[ Stack = Literal[
"html_css",
"html_tailwind", "html_tailwind",
"react_tailwind", "react_tailwind",
"bootstrap", "bootstrap",

View File

@ -17,6 +17,9 @@ httpx = "^0.25.1"
pre-commit = "^3.6.2" pre-commit = "^3.6.2"
anthropic = "^0.18.0" anthropic = "^0.18.0"
moviepy = "^1.0.3" moviepy = "^1.0.3"
pillow = "^10.3.0"
types-pillow = "^10.2.0.20240520"
aiohttp = "^3.9.5"
[tool.poetry.group.dev.dependencies] [tool.poetry.group.dev.dependencies]
pytest = "^7.4.3" pytest = "^7.4.3"

View File

@ -1,8 +1,18 @@
import os import asyncio
from dataclasses import dataclass
import traceback import traceback
from fastapi import APIRouter, WebSocket from fastapi import APIRouter, WebSocket
import openai import openai
from config import ANTHROPIC_API_KEY, IS_PROD, SHOULD_MOCK_AI_RESPONSE from codegen.utils import extract_html_content
from config import (
ANTHROPIC_API_KEY,
IS_PROD,
NUM_VARIANTS,
OPENAI_API_KEY,
OPENAI_BASE_URL,
REPLICATE_API_KEY,
SHOULD_MOCK_AI_RESPONSE,
)
from custom_types import InputMode from custom_types import InputMode
from llm import ( from llm import (
Llm, Llm,
@ -11,76 +21,97 @@ from llm import (
stream_claude_response_native, stream_claude_response_native,
stream_openai_response, stream_openai_response,
) )
from openai.types.chat import ChatCompletionMessageParam from fs_logging.core import write_logs
from mock_llm import mock_completion from mock_llm import mock_completion
from typing import Dict, List, cast, get_args from typing import Any, Callable, Coroutine, Dict, List, Literal, cast, get_args
from image_generation import create_alt_url_mapping, generate_images from image_generation.core import generate_images
from prompts import assemble_imported_code_prompt, assemble_prompt from prompts import create_prompt
from datetime import datetime
import json
from prompts.claude_prompts import VIDEO_PROMPT from prompts.claude_prompts import VIDEO_PROMPT
from prompts.types import Stack from prompts.types import Stack
# from utils import pprint_prompt # from utils import pprint_prompt
from video.utils import extract_tag_content, assemble_claude_prompt_video
from ws.constants import APP_ERROR_WEB_SOCKET_CODE # type: ignore from ws.constants import APP_ERROR_WEB_SOCKET_CODE # type: ignore
router = APIRouter() router = APIRouter()
def write_logs(prompt_messages: List[ChatCompletionMessageParam], completion: str): # Auto-upgrade usage of older models
# Get the logs path from environment, default to the current working directory def auto_upgrade_model(code_generation_model: Llm) -> Llm:
logs_path = os.environ.get("LOGS_PATH", os.getcwd()) if code_generation_model in {Llm.GPT_4_VISION, Llm.GPT_4_TURBO_2024_04_09}:
print(
# Create run_logs directory if it doesn't exist within the specified logs path f"Initial deprecated model: {code_generation_model}. Auto-updating code generation model to GPT-4O-2024-05-13"
logs_directory = os.path.join(logs_path, "run_logs") )
if not os.path.exists(logs_directory): return Llm.GPT_4O_2024_05_13
os.makedirs(logs_directory) elif code_generation_model == Llm.CLAUDE_3_SONNET:
print(
print("Writing to logs directory:", logs_directory) f"Initial deprecated model: {code_generation_model}. Auto-updating code generation model to CLAUDE-3.5-SONNET-2024-06-20"
)
# Generate a unique filename using the current timestamp within the logs directory return Llm.CLAUDE_3_5_SONNET_2024_06_20
filename = datetime.now().strftime(f"{logs_directory}/messages_%Y%m%d_%H%M%S.json") return code_generation_model
# Write the messages dict into a new file for each run
with open(filename, "w") as f:
f.write(json.dumps({"prompt": prompt_messages, "completion": completion}))
@router.websocket("/generate-code") # Generate images, if needed
async def stream_code(websocket: WebSocket): async def perform_image_generation(
await websocket.accept() completion: str,
should_generate_images: bool,
openai_api_key: str | None,
openai_base_url: str | None,
image_cache: dict[str, str],
):
replicate_api_key = REPLICATE_API_KEY
if not should_generate_images:
return completion
print("Incoming websocket connection...") if replicate_api_key:
image_generation_model = "flux"
api_key = replicate_api_key
else:
if not openai_api_key:
print(
"No OpenAI API key and Replicate key found. Skipping image generation."
)
return completion
image_generation_model = "dalle3"
api_key = openai_api_key
async def throw_error( print("Generating images with model: ", image_generation_model)
message: str,
):
await websocket.send_json({"type": "error", "value": message})
await websocket.close(APP_ERROR_WEB_SOCKET_CODE)
# TODO: Are the values always strings? return await generate_images(
params: Dict[str, str] = await websocket.receive_json() completion,
api_key=api_key,
base_url=openai_base_url,
image_cache=image_cache,
model=image_generation_model,
)
print("Received params")
# Read the code config settings from the request. Fall back to default if not provided. @dataclass
generated_code_config = "" class ExtractedParams:
if "generatedCodeConfig" in params and params["generatedCodeConfig"]: stack: Stack
generated_code_config = params["generatedCodeConfig"] input_mode: InputMode
if not generated_code_config in get_args(Stack): code_generation_model: Llm
should_generate_images: bool
openai_api_key: str | None
anthropic_api_key: str | None
openai_base_url: str | None
async def extract_params(
params: Dict[str, str], throw_error: Callable[[str], Coroutine[Any, Any, None]]
) -> ExtractedParams:
# Read the code config settings (stack) from the request.
generated_code_config = params.get("generatedCodeConfig", "")
if generated_code_config not in get_args(Stack):
await throw_error(f"Invalid generated code config: {generated_code_config}") await throw_error(f"Invalid generated code config: {generated_code_config}")
return raise ValueError(f"Invalid generated code config: {generated_code_config}")
# Cast the variable to the Stack type validated_stack = cast(Stack, generated_code_config)
valid_stack = cast(Stack, generated_code_config)
# Validate the input mode # Validate the input mode
input_mode = params.get("inputMode") input_mode = params.get("inputMode")
if not input_mode in get_args(InputMode): if input_mode not in get_args(InputMode):
await throw_error(f"Invalid input mode: {input_mode}") await throw_error(f"Invalid input mode: {input_mode}")
raise Exception(f"Invalid input mode: {input_mode}") raise ValueError(f"Invalid input mode: {input_mode}")
# Cast the variable to the right type
validated_input_mode = cast(InputMode, input_mode) validated_input_mode = cast(InputMode, input_mode)
# Read the model from the request. Fall back to default if not provided. # Read the model from the request. Fall back to default if not provided.
@ -89,173 +120,224 @@ async def stream_code(websocket: WebSocket):
) )
try: try:
code_generation_model = convert_frontend_str_to_llm(code_generation_model_str) code_generation_model = convert_frontend_str_to_llm(code_generation_model_str)
except: except ValueError:
await throw_error(f"Invalid model: {code_generation_model_str}") await throw_error(f"Invalid model: {code_generation_model_str}")
raise Exception(f"Invalid model: {code_generation_model_str}") raise ValueError(f"Invalid model: {code_generation_model_str}")
exact_llm_version = None
print( openai_api_key = get_from_settings_dialog_or_env(
f"Generating {generated_code_config} code for uploaded {input_mode} using {code_generation_model} model..." params, "openAiApiKey", OPENAI_API_KEY
) )
# Get the OpenAI API key from the request. Fall back to environment variable if not provided. # If neither is provided, we throw an error later only if Claude is used.
# If neither is provided, we throw an error. anthropic_api_key = get_from_settings_dialog_or_env(
openai_api_key = None params, "anthropicApiKey", ANTHROPIC_API_KEY
if params["openAiApiKey"]: )
openai_api_key = params["openAiApiKey"]
print("Using OpenAI API key from client-side settings dialog")
else:
openai_api_key = os.environ.get("OPENAI_API_KEY")
if openai_api_key:
print("Using OpenAI API key from environment variable")
if not openai_api_key and ( # Base URL for OpenAI API
code_generation_model == Llm.GPT_4_VISION openai_base_url: str | None = None
or code_generation_model == Llm.GPT_4_TURBO_2024_04_09
or code_generation_model == Llm.GPT_4O_2024_05_13
):
print("OpenAI API key not found")
await throw_error(
"No OpenAI API key found. Please add your API key in the settings dialog or add it to backend/.env file. If you add it to .env, make sure to restart the backend server."
)
return
# Get the OpenAI Base URL from the request. Fall back to environment variable if not provided.
openai_base_url = None
# Disable user-specified OpenAI Base URL in prod # Disable user-specified OpenAI Base URL in prod
if not os.environ.get("IS_PROD"): if not IS_PROD:
if "openAiBaseURL" in params and params["openAiBaseURL"]: openai_base_url = get_from_settings_dialog_or_env(
openai_base_url = params["openAiBaseURL"] params, "openAiBaseURL", OPENAI_BASE_URL
print("Using OpenAI Base URL from client-side settings dialog") )
else:
openai_base_url = os.environ.get("OPENAI_BASE_URL")
if openai_base_url:
print("Using OpenAI Base URL from environment variable")
if not openai_base_url: if not openai_base_url:
print("Using official OpenAI URL") print("Using official OpenAI URL")
# Get the image generation flag from the request. Fall back to True if not provided. # Get the image generation flag from the request. Fall back to True if not provided.
should_generate_images = ( should_generate_images = bool(params.get("isImageGenerationEnabled", True))
params["isImageGenerationEnabled"]
if "isImageGenerationEnabled" in params return ExtractedParams(
else True stack=validated_stack,
input_mode=validated_input_mode,
code_generation_model=code_generation_model,
should_generate_images=should_generate_images,
openai_api_key=openai_api_key,
anthropic_api_key=anthropic_api_key,
openai_base_url=openai_base_url,
) )
print("generating code...")
await websocket.send_json({"type": "status", "value": "Generating code..."})
async def process_chunk(content: str): def get_from_settings_dialog_or_env(
await websocket.send_json({"type": "chunk", "value": content}) params: dict[str, str], key: str, env_var: str | None
) -> str | None:
value = params.get(key)
if value:
print(f"Using {key} from client-side settings dialog")
return value
if env_var:
print(f"Using {key} from environment variable")
return env_var
return None
@router.websocket("/generate-code")
async def stream_code(websocket: WebSocket):
await websocket.accept()
print("Incoming websocket connection...")
## Communication protocol setup
async def throw_error(
message: str,
):
print(message)
await websocket.send_json({"type": "error", "value": message})
await websocket.close(APP_ERROR_WEB_SOCKET_CODE)
async def send_message(
type: Literal["chunk", "status", "setCode", "error"],
value: str,
variantIndex: int,
):
# Print for debugging on the backend
if type == "error":
print(f"Error (variant {variantIndex}): {value}")
elif type == "status":
print(f"Status (variant {variantIndex}): {value}")
await websocket.send_json(
{"type": type, "value": value, "variantIndex": variantIndex}
)
## Parameter extract and validation
# TODO: Are the values always strings?
params: dict[str, str] = await websocket.receive_json()
print("Received params")
extracted_params = await extract_params(params, throw_error)
stack = extracted_params.stack
input_mode = extracted_params.input_mode
code_generation_model = extracted_params.code_generation_model
openai_api_key = extracted_params.openai_api_key
openai_base_url = extracted_params.openai_base_url
anthropic_api_key = extracted_params.anthropic_api_key
should_generate_images = extracted_params.should_generate_images
# Auto-upgrade usage of older models
code_generation_model = auto_upgrade_model(code_generation_model)
print(
f"Generating {stack} code in {input_mode} mode using {code_generation_model}..."
)
for i in range(NUM_VARIANTS):
await send_message("status", "Generating code...", i)
### Prompt creation
# Image cache for updates so that we don't have to regenerate images # Image cache for updates so that we don't have to regenerate images
image_cache: Dict[str, str] = {} image_cache: Dict[str, str] = {}
# If this generation started off with imported code, we need to assemble the prompt differently try:
if params.get("isImportedFromCode") and params["isImportedFromCode"]: prompt_messages, image_cache = await create_prompt(params, stack, input_mode)
original_imported_code = params["history"][0] except:
prompt_messages = assemble_imported_code_prompt( await throw_error(
original_imported_code, valid_stack "Error assembling prompt. Contact support at support@picoapps.xyz"
) )
for index, text in enumerate(params["history"][1:]): raise
if index % 2 == 0:
message: ChatCompletionMessageParam = {
"role": "user",
"content": text,
}
else:
message: ChatCompletionMessageParam = {
"role": "assistant",
"content": text,
}
prompt_messages.append(message)
else:
# Assemble the prompt
try:
if params.get("resultImage") and params["resultImage"]:
prompt_messages = assemble_prompt(
params["image"], valid_stack, params["resultImage"]
)
else:
prompt_messages = assemble_prompt(params["image"], valid_stack)
except:
await websocket.send_json(
{
"type": "error",
"value": "Error assembling prompt. Contact support at support@picoapps.xyz",
}
)
await websocket.close()
return
if params["generationType"] == "update":
# Transform the history tree into message format
# TODO: Move this to frontend
for index, text in enumerate(params["history"]):
if index % 2 == 0:
message: ChatCompletionMessageParam = {
"role": "assistant",
"content": text,
}
else:
message: ChatCompletionMessageParam = {
"role": "user",
"content": text,
}
prompt_messages.append(message)
image_cache = create_alt_url_mapping(params["history"][-2])
if validated_input_mode == "video":
video_data_url = params["image"]
prompt_messages = await assemble_claude_prompt_video(video_data_url)
# pprint_prompt(prompt_messages) # type: ignore # pprint_prompt(prompt_messages) # type: ignore
### Code generation
async def process_chunk(content: str, variantIndex: int):
await send_message("chunk", content, variantIndex)
if SHOULD_MOCK_AI_RESPONSE: if SHOULD_MOCK_AI_RESPONSE:
completion = await mock_completion( completions = [await mock_completion(process_chunk, input_mode=input_mode)]
process_chunk, input_mode=validated_input_mode
)
else: else:
try: try:
if validated_input_mode == "video": if input_mode == "video":
if not ANTHROPIC_API_KEY: if not anthropic_api_key:
await throw_error( await throw_error(
"Video only works with Anthropic models. No Anthropic API key found. Please add the environment variable ANTHROPIC_API_KEY to backend/.env" "Video only works with Anthropic models. No Anthropic API key found. Please add the environment variable ANTHROPIC_API_KEY to backend/.env or in the settings dialog"
) )
raise Exception("No Anthropic key") raise Exception("No Anthropic key")
completion = await stream_claude_response_native( completions = [
system_prompt=VIDEO_PROMPT, await stream_claude_response_native(
messages=prompt_messages, # type: ignore system_prompt=VIDEO_PROMPT,
api_key=ANTHROPIC_API_KEY, messages=prompt_messages, # type: ignore
callback=lambda x: process_chunk(x), api_key=anthropic_api_key,
model=Llm.CLAUDE_3_OPUS, callback=lambda x: process_chunk(x, 0),
include_thinking=True, model=Llm.CLAUDE_3_OPUS,
) include_thinking=True,
exact_llm_version = Llm.CLAUDE_3_OPUS
elif code_generation_model == Llm.CLAUDE_3_SONNET:
if not ANTHROPIC_API_KEY:
await throw_error(
"No Anthropic API key found. Please add the environment variable ANTHROPIC_API_KEY to backend/.env"
) )
raise Exception("No Anthropic key") ]
completion = await stream_claude_response(
prompt_messages, # type: ignore
api_key=ANTHROPIC_API_KEY,
callback=lambda x: process_chunk(x),
)
exact_llm_version = code_generation_model
else: else:
completion = await stream_openai_response(
prompt_messages, # type: ignore # Depending on the presence and absence of various keys,
api_key=openai_api_key, # we decide which models to run
base_url=openai_base_url, variant_models = []
callback=lambda x: process_chunk(x), if openai_api_key and anthropic_api_key:
model=code_generation_model, variant_models = ["anthropic", "openai"]
elif openai_api_key:
variant_models = ["openai", "openai"]
elif anthropic_api_key:
variant_models = ["anthropic", "anthropic"]
else:
await throw_error(
"No OpenAI or Anthropic API key found. Please add the environment variable OPENAI_API_KEY or ANTHROPIC_API_KEY to backend/.env or in the settings dialog. If you add it to .env, make sure to restart the backend server."
)
raise Exception("No OpenAI or Anthropic key")
tasks: List[Coroutine[Any, Any, str]] = []
for index, model in enumerate(variant_models):
if model == "openai":
if openai_api_key is None:
await throw_error("OpenAI API key is missing.")
raise Exception("OpenAI API key is missing.")
tasks.append(
stream_openai_response(
prompt_messages,
api_key=openai_api_key,
base_url=openai_base_url,
callback=lambda x, i=index: process_chunk(x, i),
model=Llm.GPT_4O_2024_05_13,
)
)
elif model == "anthropic":
if anthropic_api_key is None:
await throw_error("Anthropic API key is missing.")
raise Exception("Anthropic API key is missing.")
tasks.append(
stream_claude_response(
prompt_messages,
api_key=anthropic_api_key,
callback=lambda x, i=index: process_chunk(x, i),
model=Llm.CLAUDE_3_5_SONNET_2024_06_20,
)
)
# Run the models in parallel and capture exceptions if any
completions = await asyncio.gather(*tasks, return_exceptions=True)
# If all generations failed, throw an error
all_generations_failed = all(
isinstance(completion, Exception) for completion in completions
) )
exact_llm_version = code_generation_model if all_generations_failed:
await throw_error("Error generating code. Please contact support.")
# Print the all the underlying exceptions for debugging
for completion in completions:
traceback.print_exception(
type(completion), completion, completion.__traceback__
)
raise Exception("All generations failed")
# If some completions failed, replace them with empty strings
for index, completion in enumerate(completions):
if isinstance(completion, Exception):
completions[index] = ""
print("Generation failed for variant", index)
print("Models used for generation: ", variant_models)
except openai.AuthenticationError as e: except openai.AuthenticationError as e:
print("[GENERATE_CODE] Authentication failed", e) print("[GENERATE_CODE] Authentication failed", e)
error_message = ( error_message = (
@ -291,39 +373,34 @@ async def stream_code(websocket: WebSocket):
) )
return await throw_error(error_message) return await throw_error(error_message)
if validated_input_mode == "video": ## Post-processing
completion = extract_tag_content("html", completion)
print("Exact used model for generation: ", exact_llm_version) # Strip the completion of everything except the HTML content
completions = [extract_html_content(completion) for completion in completions]
# Write the messages dict into a log so that we can debug later # Write the messages dict into a log so that we can debug later
write_logs(prompt_messages, completion) # type: ignore write_logs(prompt_messages, completions[0])
try: ## Image Generation
if should_generate_images:
await websocket.send_json( for index, _ in enumerate(completions):
{"type": "status", "value": "Generating images..."} await send_message("status", "Generating images...", index)
)
updated_html = await generate_images( image_generation_tasks = [
completion, perform_image_generation(
api_key=openai_api_key, completion,
base_url=openai_base_url, should_generate_images,
image_cache=image_cache, openai_api_key,
) openai_base_url,
else: image_cache,
updated_html = completion
await websocket.send_json({"type": "setCode", "value": updated_html})
await websocket.send_json(
{"type": "status", "value": "Code generation complete."}
)
except Exception as e:
traceback.print_exc()
print("Image generation failed", e)
# Send set code even if image generation fails since that triggers
# the frontend to update history
await websocket.send_json({"type": "setCode", "value": completion})
await websocket.send_json(
{"type": "status", "value": "Image generation failed but code is complete."}
) )
for completion in completions
]
updated_completions = await asyncio.gather(*image_generation_tasks)
for index, updated_html in enumerate(updated_completions):
await send_message("setCode", updated_html, index)
await send_message("status", "Code generation complete.", index)
await websocket.close() await websocket.close()

View File

@ -10,12 +10,12 @@ from typing import Any, Coroutine
import asyncio import asyncio
from evals.config import EVALS_DIR from evals.config import EVALS_DIR
from evals.core import generate_code_core from evals.core import generate_code_for_image
from evals.utils import image_to_data_url from evals.utils import image_to_data_url
STACK = "ionic_tailwind" STACK = "html_tailwind"
MODEL = Llm.GPT_4O_2024_05_13 # MODEL = Llm.CLAUDE_3_5_SONNET_2024_06_20
N = 1 # Number of outputs to generate N = 2 # Number of outputs to generate
async def main(): async def main():
@ -29,10 +29,21 @@ async def main():
for filename in evals: for filename in evals:
filepath = os.path.join(INPUT_DIR, filename) filepath = os.path.join(INPUT_DIR, filename)
data_url = await image_to_data_url(filepath) data_url = await image_to_data_url(filepath)
for _ in range(N): # Generate N tasks for each input for n in range(N): # Generate N tasks for each input
task = generate_code_core(image_url=data_url, stack=STACK, model=MODEL) if n == 0:
task = generate_code_for_image(
image_url=data_url,
stack=STACK,
model=Llm.CLAUDE_3_5_SONNET_2024_06_20,
)
else:
task = generate_code_for_image(
image_url=data_url, stack=STACK, model=Llm.GPT_4O_2024_05_13
)
tasks.append(task) tasks.append(task)
print(f"Generating {len(tasks)} codes")
results = await asyncio.gather(*tasks) results = await asyncio.gather(*tasks)
os.makedirs(OUTPUT_DIR, exist_ok=True) os.makedirs(OUTPUT_DIR, exist_ok=True)
@ -49,4 +60,48 @@ async def main():
file.write(content) file.write(content)
# async def text_main():
# OUTPUT_DIR = EVALS_DIR + "/outputs"
# GENERAL_TEXT_V1 = [
# "Login form",
# "Simple notification",
# "button",
# "saas dashboard",
# "landing page for barber shop",
# ]
# tasks: list[Coroutine[Any, Any, str]] = []
# for prompt in GENERAL_TEXT_V1:
# for n in range(N): # Generate N tasks for each input
# if n == 0:
# task = generate_code_for_text(
# text=prompt,
# stack=STACK,
# model=Llm.CLAUDE_3_5_SONNET_2024_06_20,
# )
# else:
# task = generate_code_for_text(
# text=prompt, stack=STACK, model=Llm.GPT_4O_2024_05_13
# )
# tasks.append(task)
# print(f"Generating {len(tasks)} codes")
# results = await asyncio.gather(*tasks)
# os.makedirs(OUTPUT_DIR, exist_ok=True)
# for i, content in enumerate(results):
# # Calculate index for filename and output number
# eval_index = i // N
# output_number = i % N
# filename = GENERAL_TEXT_V1[eval_index]
# # File name is derived from the original filename in evals with an added output number
# output_filename = f"{os.path.splitext(filename)[0]}_{output_number}.html"
# output_filepath = os.path.join(OUTPUT_DIR, output_filename)
# with open(output_filepath, "w") as file:
# file.write(content)
asyncio.run(main()) asyncio.run(main())

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@ -0,0 +1,85 @@
import asyncio
import os
from typing import List, Optional, Literal
from dotenv import load_dotenv
import aiohttp
from image_generation.core import process_tasks
EVALS = [
"Romantic Background",
"Company logo: A stylized green sprout emerging from a circle",
"Placeholder image of a PDF cover with abstract design",
"A complex bubble diagram showing various interconnected features and aspects of FestivalPro, with a large central bubble surrounded by smaller bubbles of different colors representing different categories and functionalities",
"A vibrant, abstract visualization of the RhythmRise experience ecosystem, featuring interconnected neon elements representing music, technology, and human connection",
"Banner with text 'LiblibAI学院 课程入口'",
"Profile picture of Pierre-Louis Labonne",
"Two hands holding iPhone 14 models with colorful displays",
"Portrait of a woman with long dark hair smiling at the camera",
"Threadless logo on a gradient background from light pink to coral",
"Jordan Schlansky Shows Conan His Favorite Nose Hair Trimmer",
"Team Coco",
"Intro to Large Language Models",
"Andrej Karpathy",
"He built a $200 million toy company",
"CNBC International",
"What will happen in year three of the war?",
"Channel",
"This is it",
"How ASML Dominates Chip Machines",
]
# Load environment variables
load_dotenv()
# Get API keys from environment variables
OPENAI_API_KEY: Optional[str] = os.getenv("OPENAI_API_KEY")
REPLICATE_API_TOKEN: Optional[str] = os.getenv("REPLICATE_API_TOKEN")
# Directory to save generated images
OUTPUT_DIR: str = "generated_images"
async def generate_and_save_images(
prompts: List[str],
model: Literal["dalle3", "flux"],
api_key: Optional[str],
) -> None:
# Ensure the output directory exists
os.makedirs(OUTPUT_DIR, exist_ok=True)
if api_key is None:
raise ValueError(f"API key for {model} is not set in the environment variables")
# Generate images
results: List[Optional[str]] = await process_tasks(
prompts, api_key, None, model=model
)
# Save images to disk
async with aiohttp.ClientSession() as session:
for i, image_url in enumerate(results):
if image_url:
# Get the image data
async with session.get(image_url) as response:
image_data: bytes = await response.read()
# Save the image with a filename based on the input eval
prefix = "replicate_" if model == "flux" else "dalle3_"
filename: str = (
f"{prefix}{prompts[i][:50].replace(' ', '_').replace(':', '')}.png"
)
filepath: str = os.path.join(OUTPUT_DIR, filename)
with open(filepath, "wb") as f:
f.write(image_data)
print(f"Saved {model} image: {filepath}")
else:
print(f"Failed to generate {model} image for prompt: {prompts[i]}")
async def main() -> None:
# await generate_and_save_images(EVALS, "dalle3", OPENAI_API_KEY)
await generate_and_save_images(EVALS, "flux", REPLICATE_API_TOKEN)
if __name__ == "__main__":
asyncio.run(main())

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@ -1,4 +1,4 @@
FROM node:20.9-bullseye-slim FROM node:22-bullseye-slim
# Set the working directory in the container # Set the working directory in the container
WORKDIR /app WORKDIR /app
@ -6,6 +6,9 @@ WORKDIR /app
# Copy package.json and yarn.lock # Copy package.json and yarn.lock
COPY package.json yarn.lock /app/ COPY package.json yarn.lock /app/
# Set the environment variable to skip Puppeteer download
ENV PUPPETEER_SKIP_DOWNLOAD=true
# Install dependencies # Install dependencies
RUN yarn install RUN yarn install

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@ -36,6 +36,7 @@
"codemirror": "^6.0.1", "codemirror": "^6.0.1",
"copy-to-clipboard": "^3.3.3", "copy-to-clipboard": "^3.3.3",
"html2canvas": "^1.4.1", "html2canvas": "^1.4.1",
"nanoid": "^5.0.7",
"react": "^18.2.0", "react": "^18.2.0",
"react-dom": "^18.2.0", "react-dom": "^18.2.0",
"react-dropzone": "^14.2.3", "react-dropzone": "^14.2.3",
@ -46,7 +47,8 @@
"tailwindcss-animate": "^1.0.7", "tailwindcss-animate": "^1.0.7",
"thememirror": "^2.0.1", "thememirror": "^2.0.1",
"vite-plugin-checker": "^0.6.2", "vite-plugin-checker": "^0.6.2",
"webm-duration-fix": "^1.0.4" "webm-duration-fix": "^1.0.4",
"zustand": "^4.5.2"
}, },
"devDependencies": { "devDependencies": {
"@types/jest": "^29.5.12", "@types/jest": "^29.5.12",

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@ -1,98 +1,98 @@
import { useEffect, useRef, useState } from "react"; import { useEffect, useRef } from "react";
import ImageUpload from "./components/ImageUpload";
import CodePreview from "./components/CodePreview";
import Preview from "./components/Preview";
import { generateCode } from "./generateCode"; import { generateCode } from "./generateCode";
import Spinner from "./components/Spinner"; import SettingsDialog from "./components/settings/SettingsDialog";
import classNames from "classnames";
import {
FaCode,
FaDesktop,
FaDownload,
FaMobile,
FaUndo,
} from "react-icons/fa";
import { Switch } from "./components/ui/switch";
import { Button } from "@/components/ui/button";
import { Textarea } from "@/components/ui/textarea";
import { Tabs, TabsContent, TabsList, TabsTrigger } from "./components/ui/tabs";
import SettingsDialog from "./components/SettingsDialog";
import { AppState, CodeGenerationParams, EditorTheme, Settings } from "./types"; import { AppState, CodeGenerationParams, EditorTheme, Settings } from "./types";
import { IS_RUNNING_ON_CLOUD } from "./config"; import { IS_RUNNING_ON_CLOUD } from "./config";
import { PicoBadge } from "./components/PicoBadge"; import { PicoBadge } from "./components/messages/PicoBadge";
import { OnboardingNote } from "./components/OnboardingNote"; import { OnboardingNote } from "./components/messages/OnboardingNote";
import { usePersistedState } from "./hooks/usePersistedState"; import { usePersistedState } from "./hooks/usePersistedState";
import { UrlInputSection } from "./components/UrlInputSection";
import TermsOfServiceDialog from "./components/TermsOfServiceDialog"; import TermsOfServiceDialog from "./components/TermsOfServiceDialog";
import html2canvas from "html2canvas";
import { USER_CLOSE_WEB_SOCKET_CODE } from "./constants"; import { USER_CLOSE_WEB_SOCKET_CODE } from "./constants";
import CodeTab from "./components/CodeTab"; import { extractHistory } from "./components/history/utils";
import OutputSettingsSection from "./components/OutputSettingsSection";
import { History } from "./components/history/history_types";
import HistoryDisplay from "./components/history/HistoryDisplay";
import { extractHistoryTree } from "./components/history/utils";
import toast from "react-hot-toast"; import toast from "react-hot-toast";
import ImportCodeSection from "./components/ImportCodeSection";
import { Stack } from "./lib/stacks"; import { Stack } from "./lib/stacks";
import { CodeGenerationModel } from "./lib/models"; import { CodeGenerationModel } from "./lib/models";
import ModelSettingsSection from "./components/ModelSettingsSection";
import { extractHtml } from "./components/preview/extractHtml";
import useBrowserTabIndicator from "./hooks/useBrowserTabIndicator"; import useBrowserTabIndicator from "./hooks/useBrowserTabIndicator";
import TipLink from "./components/core/TipLink"; import TipLink from "./components/messages/TipLink";
import { useAppStore } from "./store/app-store";
const IS_OPENAI_DOWN = false; import { useProjectStore } from "./store/project-store";
import Sidebar from "./components/sidebar/Sidebar";
import PreviewPane from "./components/preview/PreviewPane";
import DeprecationMessage from "./components/messages/DeprecationMessage";
import { GenerationSettings } from "./components/settings/GenerationSettings";
import StartPane from "./components/start-pane/StartPane";
import { takeScreenshot } from "./lib/takeScreenshot";
import { Commit } from "./components/commits/types";
import { createCommit } from "./components/commits/utils";
function App() { function App() {
const [appState, setAppState] = useState<AppState>(AppState.INITIAL); const {
const [generatedCode, setGeneratedCode] = useState<string>(""); // Inputs
inputMode,
setInputMode,
isImportedFromCode,
setIsImportedFromCode,
referenceImages,
setReferenceImages,
const [inputMode, setInputMode] = useState<"image" | "video">("image"); head,
commits,
addCommit,
removeCommit,
setHead,
appendCommitCode,
setCommitCode,
resetCommits,
resetHead,
const [referenceImages, setReferenceImages] = useState<string[]>([]); // Outputs
const [executionConsole, setExecutionConsole] = useState<string[]>([]); appendExecutionConsole,
const [updateInstruction, setUpdateInstruction] = useState(""); resetExecutionConsoles,
const [isImportedFromCode, setIsImportedFromCode] = useState<boolean>(false); } = useProjectStore();
const {
disableInSelectAndEditMode,
setUpdateInstruction,
appState,
setAppState,
shouldIncludeResultImage,
setShouldIncludeResultImage,
} = useAppStore();
// Settings // Settings
const [settings, setSettings] = usePersistedState<Settings>( const [settings, setSettings] = usePersistedState<Settings>(
{ {
openAiApiKey: null, openAiApiKey: null,
openAiBaseURL: null, openAiBaseURL: null,
anthropicApiKey: null,
screenshotOneApiKey: null, screenshotOneApiKey: null,
isImageGenerationEnabled: true, isImageGenerationEnabled: true,
editorTheme: EditorTheme.COBALT, editorTheme: EditorTheme.COBALT,
generatedCodeConfig: Stack.HTML_TAILWIND, generatedCodeConfig: Stack.HTML_TAILWIND,
codeGenerationModel: CodeGenerationModel.GPT_4O_2024_05_13, codeGenerationModel: CodeGenerationModel.CLAUDE_3_5_SONNET_2024_06_20,
// Only relevant for hosted version // Only relevant for hosted version
isTermOfServiceAccepted: false, isTermOfServiceAccepted: false,
}, },
"setting" "setting"
); );
// Code generation model from local storage or the default value
const selectedCodeGenerationModel =
settings.codeGenerationModel || CodeGenerationModel.GPT_4_VISION;
// App history
const [appHistory, setAppHistory] = useState<History>([]);
// Tracks the currently shown version from app history
const [currentVersion, setCurrentVersion] = useState<number | null>(null);
const [shouldIncludeResultImage, setShouldIncludeResultImage] =
useState<boolean>(false);
const wsRef = useRef<WebSocket>(null); const wsRef = useRef<WebSocket>(null);
const showReactWarning = // Code generation model from local storage or the default value
selectedCodeGenerationModel === const model =
CodeGenerationModel.GPT_4_TURBO_2024_04_09 && settings.codeGenerationModel || CodeGenerationModel.GPT_4_VISION;
settings.generatedCodeConfig === Stack.REACT_TAILWIND;
const showGpt4OMessage = const showBetterModelMessage =
selectedCodeGenerationModel !== CodeGenerationModel.GPT_4O_2024_05_13 && model !== CodeGenerationModel.GPT_4O_2024_05_13 &&
model !== CodeGenerationModel.CLAUDE_3_5_SONNET_2024_06_20 &&
appState === AppState.INITIAL; appState === AppState.INITIAL;
const showSelectAndEditFeature =
(model === CodeGenerationModel.GPT_4O_2024_05_13 ||
model === CodeGenerationModel.CLAUDE_3_5_SONNET_2024_06_20) &&
(settings.generatedCodeConfig === Stack.HTML_TAILWIND ||
settings.generatedCodeConfig === Stack.HTML_CSS);
// Indicate coding state using the browser tab's favicon and title // Indicate coding state using the browser tab's favicon and title
useBrowserTabIndicator(appState === AppState.CODING); useBrowserTabIndicator(appState === AppState.CODING);
@ -108,59 +108,34 @@ function App() {
} }
}, [settings.generatedCodeConfig, setSettings]); }, [settings.generatedCodeConfig, setSettings]);
const takeScreenshot = async (): Promise<string> => { // Functions
const iframeElement = document.querySelector(
"#preview-desktop"
) as HTMLIFrameElement;
if (!iframeElement?.contentWindow?.document.body) {
return "";
}
const canvas = await html2canvas(iframeElement.contentWindow.document.body);
const png = canvas.toDataURL("image/png");
return png;
};
const downloadCode = () => {
// Create a blob from the generated code
const blob = new Blob([generatedCode], { type: "text/html" });
const url = URL.createObjectURL(blob);
// Create an anchor element and set properties for download
const a = document.createElement("a");
a.href = url;
a.download = "index.html"; // Set the file name for download
document.body.appendChild(a); // Append to the document
a.click(); // Programmatically click the anchor to trigger download
// Clean up by removing the anchor and revoking the Blob URL
document.body.removeChild(a);
URL.revokeObjectURL(url);
};
const reset = () => { const reset = () => {
setAppState(AppState.INITIAL); setAppState(AppState.INITIAL);
setGeneratedCode("");
setReferenceImages([]);
setExecutionConsole([]);
setUpdateInstruction("");
setIsImportedFromCode(false);
setAppHistory([]);
setCurrentVersion(null);
setShouldIncludeResultImage(false); setShouldIncludeResultImage(false);
setUpdateInstruction("");
disableInSelectAndEditMode();
resetExecutionConsoles();
resetCommits();
resetHead();
// Inputs
setInputMode("image");
setReferenceImages([]);
setIsImportedFromCode(false);
}; };
const regenerate = () => { const regenerate = () => {
if (currentVersion === null) { if (head === null) {
toast.error( toast.error(
"No current version set. Please open a Github issue as this shouldn't happen." "No current version set. Please contact support via chat or Github."
); );
return; throw new Error("Regenerate called with no head");
} }
// Retrieve the previous command // Retrieve the previous command
const previousCommand = appHistory[currentVersion]; const currentCommit = commits[head];
if (previousCommand.type !== "ai_create") { if (currentCommit.type !== "ai_create") {
toast.error("Only the first version can be regenerated."); toast.error("Only the first version can be regenerated.");
return; return;
} }
@ -169,87 +144,86 @@ function App() {
doCreate(referenceImages, inputMode); doCreate(referenceImages, inputMode);
}; };
// Used when the user cancels the code generation
const cancelCodeGeneration = () => { const cancelCodeGeneration = () => {
wsRef.current?.close?.(USER_CLOSE_WEB_SOCKET_CODE); wsRef.current?.close?.(USER_CLOSE_WEB_SOCKET_CODE);
// make sure stop can correct the state even if the websocket is already closed
cancelCodeGenerationAndReset();
}; };
const previewCode = // Used for code generation failure as well
inputMode === "video" && appState === AppState.CODING const cancelCodeGenerationAndReset = (commit: Commit) => {
? extractHtml(generatedCode) // When the current commit is the first version, reset the entire app state
: generatedCode; if (commit.type === "ai_create") {
const cancelCodeGenerationAndReset = () => {
// When this is the first version, reset the entire app state
if (currentVersion === null) {
reset(); reset();
} else { } else {
// Otherwise, revert to the last version // Otherwise, remove current commit from commits
setGeneratedCode(appHistory[currentVersion].code); removeCommit(commit.hash);
// Revert to parent commit
const parentCommitHash = commit.parentHash;
if (parentCommitHash) {
setHead(parentCommitHash);
} else {
throw new Error("Parent commit not found");
}
setAppState(AppState.CODE_READY); setAppState(AppState.CODE_READY);
} }
}; };
function doGenerateCode( function doGenerateCode(params: CodeGenerationParams) {
params: CodeGenerationParams, // Reset the execution console
parentVersion: number | null resetExecutionConsoles();
) {
setExecutionConsole([]); // Set the app state
setAppState(AppState.CODING); setAppState(AppState.CODING);
// Merge settings with params // Merge settings with params
const updatedParams = { ...params, ...settings }; const updatedParams = { ...params, ...settings };
const baseCommitObject = {
variants: [{ code: "" }, { code: "" }],
};
const commitInputObject =
params.generationType === "create"
? {
...baseCommitObject,
type: "ai_create" as const,
parentHash: null,
inputs: { image_url: referenceImages[0] },
}
: {
...baseCommitObject,
type: "ai_edit" as const,
parentHash: head,
inputs: {
prompt: params.history
? params.history[params.history.length - 1]
: "",
},
};
// Create a new commit and set it as the head
const commit = createCommit(commitInputObject);
addCommit(commit);
setHead(commit.hash);
generateCode( generateCode(
wsRef, wsRef,
updatedParams, updatedParams,
// On change // On change
(token) => setGeneratedCode((prev) => prev + token), (token, variantIndex) => {
appendCommitCode(commit.hash, variantIndex, token);
},
// On set code // On set code
(code) => { (code, variantIndex) => {
setGeneratedCode(code); setCommitCode(commit.hash, variantIndex, code);
if (params.generationType === "create") {
setAppHistory([
{
type: "ai_create",
parentIndex: null,
code,
inputs: { image_url: referenceImages[0] },
},
]);
setCurrentVersion(0);
} else {
setAppHistory((prev) => {
// Validate parent version
if (parentVersion === null) {
toast.error(
"No parent version set. Contact support or open a Github issue."
);
return prev;
}
const newHistory: History = [
...prev,
{
type: "ai_edit",
parentIndex: parentVersion,
code,
inputs: {
prompt: updateInstruction,
},
},
];
setCurrentVersion(newHistory.length - 1);
return newHistory;
});
}
}, },
// On status update // On status update
(line) => setExecutionConsole((prev) => [...prev, line]), (line, variantIndex) => appendExecutionConsole(variantIndex, line),
// On cancel // On cancel
() => { () => {
cancelCodeGenerationAndReset(); cancelCodeGenerationAndReset(commit);
}, },
// On complete // On complete
() => { () => {
@ -263,68 +237,71 @@ function App() {
// Reset any existing state // Reset any existing state
reset(); reset();
// Set the input states
setReferenceImages(referenceImages); setReferenceImages(referenceImages);
setInputMode(inputMode); setInputMode(inputMode);
// Kick off the code generation
if (referenceImages.length > 0) { if (referenceImages.length > 0) {
doGenerateCode( doGenerateCode({
{ generationType: "create",
generationType: "create", image: referenceImages[0],
image: referenceImages[0], inputMode,
inputMode, });
},
currentVersion
);
} }
} }
// Subsequent updates // Subsequent updates
async function doUpdate() { async function doUpdate(
if (currentVersion === null) { updateInstruction: string,
selectedElement?: HTMLElement
) {
if (updateInstruction.trim() === "") {
toast.error("Please include some instructions for AI on what to update.");
return;
}
if (head === null) {
toast.error( toast.error(
"No current version set. Contact support or open a Github issue." "No current version set. Contact support or open a Github issue."
); );
return; throw new Error("Update called with no head");
} }
let historyTree; let historyTree;
try { try {
historyTree = extractHistoryTree(appHistory, currentVersion); historyTree = extractHistory(head, commits);
} catch { } catch {
toast.error( toast.error(
"Version history is invalid. This shouldn't happen. Please contact support or open a Github issue." "Version history is invalid. This shouldn't happen. Please contact support or open a Github issue."
); );
return; throw new Error("Invalid version history");
} }
const updatedHistory = [...historyTree, updateInstruction]; let modifiedUpdateInstruction = updateInstruction;
if (shouldIncludeResultImage) { // Send in a reference to the selected element if it exists
const resultImage = await takeScreenshot(); if (selectedElement) {
doGenerateCode( modifiedUpdateInstruction =
{ updateInstruction +
generationType: "update", " referring to this element specifically: " +
inputMode, selectedElement.outerHTML;
image: referenceImages[0],
resultImage: resultImage,
history: updatedHistory,
isImportedFromCode,
},
currentVersion
);
} else {
doGenerateCode(
{
generationType: "update",
inputMode,
image: referenceImages[0],
history: updatedHistory,
isImportedFromCode,
},
currentVersion
);
} }
setGeneratedCode(""); const updatedHistory = [...historyTree, modifiedUpdateInstruction];
const resultImage = shouldIncludeResultImage
? await takeScreenshot()
: undefined;
doGenerateCode({
generationType: "update",
inputMode,
image: referenceImages[0],
resultImage,
history: updatedHistory,
isImportedFromCode,
});
setUpdateInstruction(""); setUpdateInstruction("");
} }
@ -342,29 +319,24 @@ function App() {
})); }));
} }
function setCodeGenerationModel(codeGenerationModel: CodeGenerationModel) {
setSettings((prev) => ({
...prev,
codeGenerationModel,
}));
}
function importFromCode(code: string, stack: Stack) { function importFromCode(code: string, stack: Stack) {
// Set input state
setIsImportedFromCode(true); setIsImportedFromCode(true);
// Set up this project // Set up this project
setGeneratedCode(code);
setStack(stack); setStack(stack);
setAppHistory([
{
type: "code_create",
parentIndex: null,
code,
inputs: { code },
},
]);
setCurrentVersion(0);
// Create a new commit and set it as the head
const commit = createCommit({
type: "code_create",
parentHash: null,
variants: [{ code }],
inputs: null,
});
addCommit(commit);
setHead(commit.hash);
// Set the app state
setAppState(AppState.CODE_READY); setAppState(AppState.CODE_READY);
} }
@ -379,263 +351,47 @@ function App() {
)} )}
<div className="lg:fixed lg:inset-y-0 lg:z-40 lg:flex lg:w-96 lg:flex-col"> <div className="lg:fixed lg:inset-y-0 lg:z-40 lg:flex lg:w-96 lg:flex-col">
<div className="flex grow flex-col gap-y-2 overflow-y-auto border-r border-gray-200 bg-white px-6 dark:bg-zinc-950 dark:text-white"> <div className="flex grow flex-col gap-y-2 overflow-y-auto border-r border-gray-200 bg-white px-6 dark:bg-zinc-950 dark:text-white">
{/* Header with access to settings */}
<div className="flex items-center justify-between mt-10 mb-2"> <div className="flex items-center justify-between mt-10 mb-2">
<h1 className="text-2xl ">Screenshot to Code</h1> <h1 className="text-2xl ">Screenshot to Code</h1>
<SettingsDialog settings={settings} setSettings={setSettings} /> <SettingsDialog settings={settings} setSettings={setSettings} />
</div> </div>
<OutputSettingsSection {/* Generation settings like stack and model */}
stack={settings.generatedCodeConfig} <GenerationSettings settings={settings} setSettings={setSettings} />
setStack={(config) => setStack(config)}
shouldDisableUpdates={
appState === AppState.CODING || appState === AppState.CODE_READY
}
/>
<ModelSettingsSection {/* Show auto updated message when older models are choosen */}
codeGenerationModel={selectedCodeGenerationModel} {showBetterModelMessage && <DeprecationMessage />}
setCodeGenerationModel={setCodeGenerationModel}
shouldDisableUpdates={
appState === AppState.CODING || appState === AppState.CODE_READY
}
/>
{showReactWarning && (
<div className="text-sm bg-yellow-200 rounded p-2">
Sorry - React is not currently working with GPT-4 Turbo. Please
use GPT-4 Vision or Claude Sonnet. We are working on a fix.
</div>
)}
{showGpt4OMessage && (
<div className="rounded-lg p-2 bg-fuchsia-200">
<p className="text-gray-800 text-sm">
Now supporting GPT-4o. Higher quality and 2x faster. Give it a
try!
</p>
</div>
)}
{/* Show tip link until coding is complete */}
{appState !== AppState.CODE_READY && <TipLink />} {appState !== AppState.CODE_READY && <TipLink />}
{IS_RUNNING_ON_CLOUD && !settings.openAiApiKey && <OnboardingNote />} {IS_RUNNING_ON_CLOUD && !settings.openAiApiKey && <OnboardingNote />}
{IS_OPENAI_DOWN && ( {/* Rest of the sidebar when we're not in the initial state */}
<div className="bg-black text-white dark:bg-white dark:text-black p-3 rounded">
OpenAI API is currently down. Try back in 30 minutes or later. We
apologize for the inconvenience.
</div>
)}
{(appState === AppState.CODING || {(appState === AppState.CODING ||
appState === AppState.CODE_READY) && ( appState === AppState.CODE_READY) && (
<> <Sidebar
{/* Show code preview only when coding */} showSelectAndEditFeature={showSelectAndEditFeature}
{appState === AppState.CODING && ( doUpdate={doUpdate}
<div className="flex flex-col"> regenerate={regenerate}
{/* Speed disclaimer for video mode */} cancelCodeGeneration={cancelCodeGeneration}
{inputMode === "video" && (
<div
className="bg-yellow-100 border-l-4 border-yellow-500 text-yellow-700
p-2 text-xs mb-4 mt-1"
>
Code generation from videos can take 3-4 minutes. We do
multiple passes to get the best result. Please be patient.
</div>
)}
<div className="flex items-center gap-x-1">
<Spinner />
{executionConsole.slice(-1)[0]}
</div>
<CodePreview code={generatedCode} />
<div className="flex w-full">
<Button
onClick={cancelCodeGeneration}
className="w-full dark:text-white dark:bg-gray-700"
>
Cancel
</Button>
</div>
</div>
)}
{appState === AppState.CODE_READY && (
<div>
<div className="grid w-full gap-2">
<Textarea
placeholder="Tell the AI what to change..."
onChange={(e) => setUpdateInstruction(e.target.value)}
value={updateInstruction}
/>
<div className="flex justify-between items-center gap-x-2">
<div className="font-500 text-xs text-slate-700 dark:text-white">
Include screenshot of current version?
</div>
<Switch
checked={shouldIncludeResultImage}
onCheckedChange={setShouldIncludeResultImage}
className="dark:bg-gray-700"
/>
</div>
<Button
onClick={doUpdate}
className="dark:text-white dark:bg-gray-700 update-btn"
>
Update
</Button>
</div>
<div className="flex items-center justify-end gap-x-2 mt-2">
<Button
onClick={regenerate}
className="flex items-center gap-x-2 dark:text-white dark:bg-gray-700 regenerate-btn"
>
🔄 Regenerate
</Button>
</div>
<div className="flex justify-end items-center mt-2">
<TipLink />
</div>
</div>
)}
{/* Reference image display */}
<div className="flex gap-x-2 mt-2">
{referenceImages.length > 0 && (
<div className="flex flex-col">
<div
className={classNames({
"scanning relative": appState === AppState.CODING,
})}
>
{inputMode === "image" && (
<img
className="w-[340px] border border-gray-200 rounded-md"
src={referenceImages[0]}
alt="Reference"
/>
)}
{inputMode === "video" && (
<video
muted
autoPlay
loop
className="w-[340px] border border-gray-200 rounded-md"
src={referenceImages[0]}
/>
)}
</div>
<div className="text-gray-400 uppercase text-sm text-center mt-1">
{inputMode === "video"
? "Original Video"
: "Original Screenshot"}
</div>
</div>
)}
<div className="bg-gray-400 px-4 py-2 rounded text-sm hidden">
<h2 className="text-lg mb-4 border-b border-gray-800">
Console
</h2>
{executionConsole.map((line, index) => (
<div
key={index}
className="border-b border-gray-400 mb-2 text-gray-600 font-mono"
>
{line}
</div>
))}
</div>
</div>
</>
)}
{
<HistoryDisplay
history={appHistory}
currentVersion={currentVersion}
revertToVersion={(index) => {
if (
index < 0 ||
index >= appHistory.length ||
!appHistory[index]
)
return;
setCurrentVersion(index);
setGeneratedCode(appHistory[index].code);
}}
shouldDisableReverts={appState === AppState.CODING}
/> />
} )}
</div> </div>
</div> </div>
<main className="py-2 lg:pl-96"> <main className="py-2 lg:pl-96">
{appState === AppState.INITIAL && ( {appState === AppState.INITIAL && (
<div className="flex flex-col justify-center items-center gap-y-10"> <StartPane
<ImageUpload setReferenceImages={doCreate} /> doCreate={doCreate}
<UrlInputSection importFromCode={importFromCode}
doCreate={doCreate} settings={settings}
screenshotOneApiKey={settings.screenshotOneApiKey} />
/>
<ImportCodeSection importFromCode={importFromCode} />
</div>
)} )}
{(appState === AppState.CODING || appState === AppState.CODE_READY) && ( {(appState === AppState.CODING || appState === AppState.CODE_READY) && (
<div className="ml-4"> <PreviewPane doUpdate={doUpdate} reset={reset} settings={settings} />
<Tabs defaultValue="desktop">
<div className="flex justify-between mr-8 mb-4">
<div className="flex items-center gap-x-2">
{appState === AppState.CODE_READY && (
<>
<Button
onClick={reset}
className="flex items-center ml-4 gap-x-2 dark:text-white dark:bg-gray-700"
>
<FaUndo />
Reset
</Button>
<Button
onClick={downloadCode}
variant="secondary"
className="flex items-center gap-x-2 mr-4 dark:text-white dark:bg-gray-700 download-btn"
>
<FaDownload /> Download
</Button>
</>
)}
</div>
<div className="flex items-center">
<TabsList>
<TabsTrigger value="desktop" className="flex gap-x-2">
<FaDesktop /> Desktop
</TabsTrigger>
<TabsTrigger value="mobile" className="flex gap-x-2">
<FaMobile /> Mobile
</TabsTrigger>
<TabsTrigger value="code" className="flex gap-x-2">
<FaCode />
Code
</TabsTrigger>
</TabsList>
</div>
</div>
<TabsContent value="desktop">
<Preview code={previewCode} device="desktop" />
</TabsContent>
<TabsContent value="mobile">
<Preview code={previewCode} device="mobile" />
</TabsContent>
<TabsContent value="code">
<CodeTab
code={previewCode}
setCode={setGeneratedCode}
settings={settings}
/>
</TabsContent>
</Tabs>
</div>
)} )}
</main> </main>
</div> </div>

View File

@ -10,7 +10,7 @@ import {
DialogTrigger, DialogTrigger,
} from "./ui/dialog"; } from "./ui/dialog";
import { Textarea } from "./ui/textarea"; import { Textarea } from "./ui/textarea";
import OutputSettingsSection from "./OutputSettingsSection"; import OutputSettingsSection from "./settings/OutputSettingsSection";
import toast from "react-hot-toast"; import toast from "react-hot-toast";
import { Stack } from "../lib/stacks"; import { Stack } from "../lib/stacks";

View File

@ -1,65 +0,0 @@
import {
Select,
SelectContent,
SelectGroup,
SelectItem,
SelectTrigger,
} from "./ui/select";
import {
CODE_GENERATION_MODEL_DESCRIPTIONS,
CodeGenerationModel,
} from "../lib/models";
import { Badge } from "./ui/badge";
interface Props {
codeGenerationModel: CodeGenerationModel;
setCodeGenerationModel: (codeGenerationModel: CodeGenerationModel) => void;
shouldDisableUpdates?: boolean;
}
function ModelSettingsSection({
codeGenerationModel,
setCodeGenerationModel,
shouldDisableUpdates = false,
}: Props) {
return (
<div className="flex flex-col gap-y-2 justify-between text-sm">
<div className="grid grid-cols-3 items-center gap-4">
<span>AI Model:</span>
<Select
value={codeGenerationModel}
onValueChange={(value: string) =>
setCodeGenerationModel(value as CodeGenerationModel)
}
disabled={shouldDisableUpdates}
>
<SelectTrigger className="col-span-2" id="output-settings-js">
<span className="font-semibold">
{CODE_GENERATION_MODEL_DESCRIPTIONS[codeGenerationModel].name}
</span>
</SelectTrigger>
<SelectContent>
<SelectGroup>
{Object.values(CodeGenerationModel).map((model) => (
<SelectItem key={model} value={model}>
<div className="flex items-center">
<span className="font-semibold">
{CODE_GENERATION_MODEL_DESCRIPTIONS[model].name}
</span>
{CODE_GENERATION_MODEL_DESCRIPTIONS[model].inBeta && (
<Badge className="ml-2" variant="secondary">
Beta
</Badge>
)}
</div>
</SelectItem>
))}
</SelectGroup>
</SelectContent>
</Select>
</div>
</div>
);
}
export default ModelSettingsSection;

View File

@ -1,41 +0,0 @@
import { useEffect, useRef } from "react";
import classNames from "classnames";
import useThrottle from "../hooks/useThrottle";
interface Props {
code: string;
device: "mobile" | "desktop";
}
function Preview({ code, device }: Props) {
const iframeRef = useRef<HTMLIFrameElement | null>(null);
// Don't update code more often than every 200ms.
const throttledCode = useThrottle(code, 200);
useEffect(() => {
if (iframeRef.current) {
iframeRef.current.srcdoc = throttledCode;
}
}, [throttledCode]);
return (
<div className="flex justify-center mx-2">
<iframe
id={`preview-${device}`}
ref={iframeRef}
title="Preview"
className={classNames(
"border-[4px] border-black rounded-[20px] shadow-lg",
"transform scale-[0.9] origin-top",
{
"w-full h-[832px]": device === "desktop",
"w-[400px] h-[832px]": device === "mobile",
}
)}
></iframe>
</div>
);
}
export default Preview;

View File

@ -0,0 +1,37 @@
export type CommitHash = string;
export type Variant = {
code: string;
};
export type BaseCommit = {
hash: CommitHash;
parentHash: CommitHash | null;
dateCreated: Date;
isCommitted: boolean;
variants: Variant[];
selectedVariantIndex: number;
};
export type CommitType = "ai_create" | "ai_edit" | "code_create";
export type AiCreateCommit = BaseCommit & {
type: "ai_create";
inputs: {
image_url: string;
};
};
export type AiEditCommit = BaseCommit & {
type: "ai_edit";
inputs: {
prompt: string;
};
};
export type CodeCreateCommit = BaseCommit & {
type: "code_create";
inputs: null;
};
export type Commit = AiCreateCommit | AiEditCommit | CodeCreateCommit;

View File

@ -0,0 +1,32 @@
import { nanoid } from "nanoid";
import {
AiCreateCommit,
AiEditCommit,
CodeCreateCommit,
Commit,
} from "./types";
export function createCommit(
commit:
| Omit<
AiCreateCommit,
"hash" | "dateCreated" | "selectedVariantIndex" | "isCommitted"
>
| Omit<
AiEditCommit,
"hash" | "dateCreated" | "selectedVariantIndex" | "isCommitted"
>
| Omit<
CodeCreateCommit,
"hash" | "dateCreated" | "selectedVariantIndex" | "isCommitted"
>
): Commit {
const hash = nanoid();
return {
...commit,
hash,
isCommitted: false,
dateCreated: new Date(),
selectedVariantIndex: 0,
};
}

View File

@ -0,0 +1,25 @@
import React from "react";
import { BsArrowReturnLeft } from "react-icons/bs";
interface KeyboardShortcutBadgeProps {
letter: string;
}
const KeyboardShortcutBadge: React.FC<KeyboardShortcutBadgeProps> = ({
letter,
}) => {
const icon =
letter.toLowerCase() === "enter" || letter.toLowerCase() === "return" ? (
<BsArrowReturnLeft />
) : (
letter.toUpperCase()
);
return (
<span className="font-mono text-xs ml-2 rounded bg-gray-700 dark:bg-gray-900 text-white py-[2px] px-2">
{icon}
</span>
);
};
export default KeyboardShortcutBadge;

View File

@ -1,4 +1,3 @@
import { History } from "./history_types";
import toast from "react-hot-toast"; import toast from "react-hot-toast";
import classNames from "classnames"; import classNames from "classnames";
@ -11,21 +10,23 @@ import {
} from "../ui/collapsible"; } from "../ui/collapsible";
import { Button } from "../ui/button"; import { Button } from "../ui/button";
import { CaretSortIcon } from "@radix-ui/react-icons"; import { CaretSortIcon } from "@radix-ui/react-icons";
import { useProjectStore } from "../../store/project-store";
interface Props { interface Props {
history: History;
currentVersion: number | null;
revertToVersion: (version: number) => void;
shouldDisableReverts: boolean; shouldDisableReverts: boolean;
} }
export default function HistoryDisplay({ export default function HistoryDisplay({ shouldDisableReverts }: Props) {
history, const { commits, head, setHead } = useProjectStore();
currentVersion,
revertToVersion, // Put all commits into an array and sort by created date (oldest first)
shouldDisableReverts, const flatHistory = Object.values(commits).sort(
}: Props) { (a, b) =>
const renderedHistory = renderHistory(history, currentVersion); new Date(a.dateCreated).getTime() - new Date(b.dateCreated).getTime()
);
// Annotate history items with a summary, parent version, etc.
const renderedHistory = renderHistory(flatHistory);
return renderedHistory.length === 0 ? null : ( return renderedHistory.length === 0 ? null : (
<div className="flex flex-col h-screen"> <div className="flex flex-col h-screen">
@ -39,8 +40,8 @@ export default function HistoryDisplay({
"flex items-center justify-between space-x-2 w-full pr-2", "flex items-center justify-between space-x-2 w-full pr-2",
"border-b cursor-pointer", "border-b cursor-pointer",
{ {
" hover:bg-black hover:text-white": !item.isActive, " hover:bg-black hover:text-white": item.hash === head,
"bg-slate-500 text-white": item.isActive, "bg-slate-500 text-white": item.hash === head,
} }
)} )}
> >
@ -51,14 +52,14 @@ export default function HistoryDisplay({
? toast.error( ? toast.error(
"Please wait for code generation to complete before viewing an older version." "Please wait for code generation to complete before viewing an older version."
) )
: revertToVersion(index) : setHead(item.hash)
} }
> >
<div className="flex gap-x-1 truncate"> <div className="flex gap-x-1 truncate">
<h2 className="text-sm truncate">{item.summary}</h2> <h2 className="text-sm truncate">{item.summary}</h2>
{item.parentVersion !== null && ( {item.parentVersion !== null && (
<h2 className="text-sm"> <h2 className="text-sm">
(parent: {item.parentVersion}) (parent: v{item.parentVersion})
</h2> </h2>
)} )}
</div> </div>

View File

@ -1,41 +0,0 @@
export type HistoryItemType = "ai_create" | "ai_edit" | "code_create";
type CommonHistoryItem = {
parentIndex: null | number;
code: string;
};
export type HistoryItem =
| ({
type: "ai_create";
inputs: AiCreateInputs;
} & CommonHistoryItem)
| ({
type: "ai_edit";
inputs: AiEditInputs;
} & CommonHistoryItem)
| ({
type: "code_create";
inputs: CodeCreateInputs;
} & CommonHistoryItem);
export type AiCreateInputs = {
image_url: string;
};
export type AiEditInputs = {
prompt: string;
};
export type CodeCreateInputs = {
code: string;
};
export type History = HistoryItem[];
export type RenderedHistoryItem = {
type: string;
summary: string;
parentVersion: string | null;
isActive: boolean;
};

View File

@ -1,91 +1,125 @@
import { extractHistoryTree, renderHistory } from "./utils"; import { extractHistory, renderHistory } from "./utils";
import type { History } from "./history_types"; import { Commit, CommitHash } from "../commits/types";
const basicLinearHistory: History = [ const basicLinearHistory: Record<CommitHash, Commit> = {
{ "0": {
hash: "0",
dateCreated: new Date(),
isCommitted: false,
type: "ai_create", type: "ai_create",
parentIndex: null, parentHash: null,
code: "<html>1. create</html>", variants: [{ code: "<html>1. create</html>" }],
selectedVariantIndex: 0,
inputs: { inputs: {
image_url: "", image_url: "",
}, },
}, },
{ "1": {
hash: "1",
dateCreated: new Date(),
isCommitted: false,
type: "ai_edit", type: "ai_edit",
parentIndex: 0, parentHash: "0",
code: "<html>2. edit with better icons</html>", variants: [{ code: "<html>2. edit with better icons</html>" }],
selectedVariantIndex: 0,
inputs: { inputs: {
prompt: "use better icons", prompt: "use better icons",
}, },
}, },
{ "2": {
hash: "2",
dateCreated: new Date(),
isCommitted: false,
type: "ai_edit", type: "ai_edit",
parentIndex: 1, parentHash: "1",
code: "<html>3. edit with better icons and red text</html>", variants: [{ code: "<html>3. edit with better icons and red text</html>" }],
selectedVariantIndex: 0,
inputs: { inputs: {
prompt: "make text red", prompt: "make text red",
}, },
}, },
]; };
const basicLinearHistoryWithCode: History = [ const basicLinearHistoryWithCode: Record<CommitHash, Commit> = {
{ "0": {
hash: "0",
dateCreated: new Date(),
isCommitted: false,
type: "code_create", type: "code_create",
parentIndex: null, parentHash: null,
code: "<html>1. create</html>", variants: [{ code: "<html>1. create</html>" }],
inputs: { selectedVariantIndex: 0,
code: "<html>1. create</html>", inputs: null,
},
}, },
...basicLinearHistory.slice(1), ...Object.fromEntries(Object.entries(basicLinearHistory).slice(1)),
]; };
const basicBranchingHistory: History = [ const basicBranchingHistory: Record<CommitHash, Commit> = {
...basicLinearHistory, ...basicLinearHistory,
{ "3": {
hash: "3",
dateCreated: new Date(),
isCommitted: false,
type: "ai_edit", type: "ai_edit",
parentIndex: 1, parentHash: "1",
code: "<html>4. edit with better icons and green text</html>", variants: [
{ code: "<html>4. edit with better icons and green text</html>" },
],
selectedVariantIndex: 0,
inputs: { inputs: {
prompt: "make text green", prompt: "make text green",
}, },
}, },
]; };
const longerBranchingHistory: History = [ const longerBranchingHistory: Record<CommitHash, Commit> = {
...basicBranchingHistory, ...basicBranchingHistory,
{ "4": {
hash: "4",
dateCreated: new Date(),
isCommitted: false,
type: "ai_edit", type: "ai_edit",
parentIndex: 3, parentHash: "3",
code: "<html>5. edit with better icons and green, bold text</html>", variants: [
{ code: "<html>5. edit with better icons and green, bold text</html>" },
],
selectedVariantIndex: 0,
inputs: { inputs: {
prompt: "make text bold", prompt: "make text bold",
}, },
}, },
]; };
const basicBadHistory: History = [ const basicBadHistory: Record<CommitHash, Commit> = {
{ "0": {
hash: "0",
dateCreated: new Date(),
isCommitted: false,
type: "ai_create", type: "ai_create",
parentIndex: null, parentHash: null,
code: "<html>1. create</html>", variants: [{ code: "<html>1. create</html>" }],
selectedVariantIndex: 0,
inputs: { inputs: {
image_url: "", image_url: "",
}, },
}, },
{ "1": {
hash: "1",
dateCreated: new Date(),
isCommitted: false,
type: "ai_edit", type: "ai_edit",
parentIndex: 2, // <- Bad parent index parentHash: "2", // <- Bad parent hash
code: "<html>2. edit with better icons</html>", variants: [{ code: "<html>2. edit with better icons</html>" }],
selectedVariantIndex: 0,
inputs: { inputs: {
prompt: "use better icons", prompt: "use better icons",
}, },
}, },
]; };
describe("History Utils", () => { describe("History Utils", () => {
test("should correctly extract the history tree", () => { test("should correctly extract the history tree", () => {
expect(extractHistoryTree(basicLinearHistory, 2)).toEqual([ expect(extractHistory("2", basicLinearHistory)).toEqual([
"<html>1. create</html>", "<html>1. create</html>",
"use better icons", "use better icons",
"<html>2. edit with better icons</html>", "<html>2. edit with better icons</html>",
@ -93,12 +127,12 @@ describe("History Utils", () => {
"<html>3. edit with better icons and red text</html>", "<html>3. edit with better icons and red text</html>",
]); ]);
expect(extractHistoryTree(basicLinearHistory, 0)).toEqual([ expect(extractHistory("0", basicLinearHistory)).toEqual([
"<html>1. create</html>", "<html>1. create</html>",
]); ]);
// Test branching // Test branching
expect(extractHistoryTree(basicBranchingHistory, 3)).toEqual([ expect(extractHistory("3", basicBranchingHistory)).toEqual([
"<html>1. create</html>", "<html>1. create</html>",
"use better icons", "use better icons",
"<html>2. edit with better icons</html>", "<html>2. edit with better icons</html>",
@ -106,7 +140,7 @@ describe("History Utils", () => {
"<html>4. edit with better icons and green text</html>", "<html>4. edit with better icons and green text</html>",
]); ]);
expect(extractHistoryTree(longerBranchingHistory, 4)).toEqual([ expect(extractHistory("4", longerBranchingHistory)).toEqual([
"<html>1. create</html>", "<html>1. create</html>",
"use better icons", "use better icons",
"<html>2. edit with better icons</html>", "<html>2. edit with better icons</html>",
@ -116,7 +150,7 @@ describe("History Utils", () => {
"<html>5. edit with better icons and green, bold text</html>", "<html>5. edit with better icons and green, bold text</html>",
]); ]);
expect(extractHistoryTree(longerBranchingHistory, 2)).toEqual([ expect(extractHistory("2", longerBranchingHistory)).toEqual([
"<html>1. create</html>", "<html>1. create</html>",
"use better icons", "use better icons",
"<html>2. edit with better icons</html>", "<html>2. edit with better icons</html>",
@ -126,105 +160,82 @@ describe("History Utils", () => {
// Errors // Errors
// Bad index // Bad hash
expect(() => extractHistoryTree(basicLinearHistory, 100)).toThrow(); expect(() => extractHistory("100", basicLinearHistory)).toThrow();
expect(() => extractHistoryTree(basicLinearHistory, -2)).toThrow();
// Bad tree // Bad tree
expect(() => extractHistoryTree(basicBadHistory, 1)).toThrow(); expect(() => extractHistory("1", basicBadHistory)).toThrow();
}); });
test("should correctly render the history tree", () => { test("should correctly render the history tree", () => {
expect(renderHistory(basicLinearHistory, 2)).toEqual([ expect(renderHistory(Object.values(basicLinearHistory))).toEqual([
{ {
isActive: false, ...basicLinearHistory["0"],
parentVersion: null,
summary: "Create",
type: "Create", type: "Create",
},
{
isActive: false,
parentVersion: null,
summary: "use better icons",
type: "Edit",
},
{
isActive: true,
parentVersion: null,
summary: "make text red",
type: "Edit",
},
]);
// Current version is the first version
expect(renderHistory(basicLinearHistory, 0)).toEqual([
{
isActive: true,
parentVersion: null,
summary: "Create", summary: "Create",
type: "Create", parentVersion: null,
}, },
{ {
isActive: false, ...basicLinearHistory["1"],
parentVersion: null, type: "Edit",
summary: "use better icons", summary: "use better icons",
type: "Edit", parentVersion: null,
}, },
{ {
isActive: false, ...basicLinearHistory["2"],
parentVersion: null,
summary: "make text red",
type: "Edit", type: "Edit",
summary: "make text red",
parentVersion: null,
}, },
]); ]);
// Render a history with code // Render a history with code
expect(renderHistory(basicLinearHistoryWithCode, 0)).toEqual([ expect(renderHistory(Object.values(basicLinearHistoryWithCode))).toEqual([
{ {
isActive: true, ...basicLinearHistoryWithCode["0"],
parentVersion: null,
summary: "Imported from code",
type: "Imported from code", type: "Imported from code",
summary: "Imported from code",
parentVersion: null,
}, },
{ {
isActive: false, ...basicLinearHistoryWithCode["1"],
parentVersion: null, type: "Edit",
summary: "use better icons", summary: "use better icons",
type: "Edit", parentVersion: null,
}, },
{ {
isActive: false, ...basicLinearHistoryWithCode["2"],
parentVersion: null,
summary: "make text red",
type: "Edit", type: "Edit",
summary: "make text red",
parentVersion: null,
}, },
]); ]);
// Render a non-linear history // Render a non-linear history
expect(renderHistory(basicBranchingHistory, 3)).toEqual([ expect(renderHistory(Object.values(basicBranchingHistory))).toEqual([
{ {
isActive: false, ...basicBranchingHistory["0"],
parentVersion: null,
summary: "Create",
type: "Create", type: "Create",
summary: "Create",
parentVersion: null,
}, },
{ {
isActive: false, ...basicBranchingHistory["1"],
parentVersion: null, type: "Edit",
summary: "use better icons", summary: "use better icons",
type: "Edit",
},
{
isActive: false,
parentVersion: null, parentVersion: null,
summary: "make text red",
type: "Edit",
}, },
{ {
isActive: true, ...basicBranchingHistory["2"],
parentVersion: "v2",
summary: "make text green",
type: "Edit", type: "Edit",
summary: "make text red",
parentVersion: null,
},
{
...basicBranchingHistory["3"],
type: "Edit",
summary: "make text green",
parentVersion: 2,
}, },
]); ]);
}); });

View File

@ -1,33 +1,25 @@
import { import { Commit, CommitHash, CommitType } from "../commits/types";
History,
HistoryItem,
HistoryItemType,
RenderedHistoryItem,
} from "./history_types";
export function extractHistoryTree( export function extractHistory(
history: History, hash: CommitHash,
version: number commits: Record<CommitHash, Commit>
): string[] { ): string[] {
const flatHistory: string[] = []; const flatHistory: string[] = [];
let currentIndex: number | null = version; let currentCommitHash: CommitHash | null = hash;
while (currentIndex !== null) { while (currentCommitHash !== null) {
const item: HistoryItem = history[currentIndex]; const commit: Commit | null = commits[currentCommitHash];
if (item) { if (commit) {
if (item.type === "ai_create") { flatHistory.unshift(commit.variants[commit.selectedVariantIndex].code);
// Don't include the image for ai_create
flatHistory.unshift(item.code); // For edits, add the prompt to the history
} else if (item.type === "ai_edit") { if (commit.type === "ai_edit") {
flatHistory.unshift(item.code); flatHistory.unshift(commit.inputs.prompt);
flatHistory.unshift(item.inputs.prompt);
} else if (item.type === "code_create") {
flatHistory.unshift(item.code);
} }
// Move to the parent of the current item // Move to the parent of the current item
currentIndex = item.parentIndex; currentCommitHash = commit.parentHash;
} else { } else {
throw new Error("Malformed history: missing parent index"); throw new Error("Malformed history: missing parent index");
} }
@ -36,7 +28,7 @@ export function extractHistoryTree(
return flatHistory; return flatHistory;
} }
function displayHistoryItemType(itemType: HistoryItemType) { function displayHistoryItemType(itemType: CommitType) {
switch (itemType) { switch (itemType) {
case "ai_create": case "ai_create":
return "Create"; return "Create";
@ -51,44 +43,48 @@ function displayHistoryItemType(itemType: HistoryItemType) {
} }
} }
function summarizeHistoryItem(item: HistoryItem) { const setParentVersion = (commit: Commit, history: Commit[]) => {
const itemType = item.type; // If the commit has no parent, return null
switch (itemType) { if (!commit.parentHash) return null;
const parentIndex = history.findIndex(
(item) => item.hash === commit.parentHash
);
const currentIndex = history.findIndex((item) => item.hash === commit.hash);
// Only set parent version if the parent is not the previous commit
// and parent exists
return parentIndex !== -1 && parentIndex != currentIndex - 1
? parentIndex + 1
: null;
};
export function summarizeHistoryItem(commit: Commit) {
const commitType = commit.type;
switch (commitType) {
case "ai_create": case "ai_create":
return "Create"; return "Create";
case "ai_edit": case "ai_edit":
return item.inputs.prompt; return commit.inputs.prompt;
case "code_create": case "code_create":
return "Imported from code"; return "Imported from code";
default: { default: {
const exhaustiveCheck: never = itemType; const exhaustiveCheck: never = commitType;
throw new Error(`Unhandled case: ${exhaustiveCheck}`); throw new Error(`Unhandled case: ${exhaustiveCheck}`);
} }
} }
} }
export const renderHistory = ( export const renderHistory = (history: Commit[]) => {
history: History, const renderedHistory = [];
currentVersion: number | null
) => {
const renderedHistory: RenderedHistoryItem[] = [];
for (let i = 0; i < history.length; i++) { for (let i = 0; i < history.length; i++) {
const item = history[i]; const commit = history[i];
// Only show the parent version if it's not the previous version
// (i.e. it's the branching point) and if it's not the first version
const parentVersion =
item.parentIndex !== null && item.parentIndex !== i - 1
? `v${(item.parentIndex || 0) + 1}`
: null;
const type = displayHistoryItemType(item.type);
const isActive = i === currentVersion;
const summary = summarizeHistoryItem(item);
renderedHistory.push({ renderedHistory.push({
isActive, ...commit,
summary: summary, type: displayHistoryItemType(commit.type),
parentVersion, summary: summarizeHistoryItem(commit),
type, parentVersion: setParentVersion(commit, history),
}); });
} }

View File

@ -0,0 +1,16 @@
import React from "react";
interface DeprecationMessageProps {}
const DeprecationMessage: React.FC<DeprecationMessageProps> = () => {
return (
<div className="rounded-lg p-2 bg-fuchsia-200">
<p className="text-gray-800 text-sm">
We no longer support this model. Instead, code generation will use
GPT-4o or Claude Sonnet 3.5, the 2 state-of-the-art models.
</p>
</div>
);
};
export default DeprecationMessage;

View File

@ -1,7 +1,7 @@
import { FaCopy } from "react-icons/fa"; import { FaCopy } from "react-icons/fa";
import CodeMirror from "./CodeMirror"; import CodeMirror from "./CodeMirror";
import { Button } from "./ui/button"; import { Button } from "../ui/button";
import { Settings } from "../types"; import { Settings } from "../../types";
import copy from "copy-to-clipboard"; import copy from "copy-to-clipboard";
import { useCallback } from "react"; import { useCallback } from "react";
import toast from "react-hot-toast"; import toast from "react-hot-toast";

View File

@ -0,0 +1,56 @@
import { useEffect, useRef, useState } from "react";
import classNames from "classnames";
import useThrottle from "../../hooks/useThrottle";
import EditPopup from "../select-and-edit/EditPopup";
interface Props {
code: string;
device: "mobile" | "desktop";
doUpdate: (updateInstruction: string, selectedElement?: HTMLElement) => void;
}
function PreviewComponent({ code, device, doUpdate }: Props) {
const iframeRef = useRef<HTMLIFrameElement | null>(null);
// Don't update code more often than every 200ms.
const throttledCode = useThrottle(code, 200);
// Select and edit functionality
const [clickEvent, setClickEvent] = useState<MouseEvent | null>(null);
useEffect(() => {
const iframe = iframeRef.current;
if (iframe) {
iframe.srcdoc = throttledCode;
// Set up click handler for select and edit funtionality
iframe.addEventListener("load", function () {
iframe.contentWindow?.document.body.addEventListener(
"click",
setClickEvent
);
});
}
}, [throttledCode]);
return (
<div className="flex justify-center mx-2">
<iframe
id={`preview-${device}`}
ref={iframeRef}
title="Preview"
className={classNames(
"border-[4px] border-black rounded-[20px] shadow-lg",
"transform scale-[0.9] origin-top",
{
"w-full h-[832px]": device === "desktop",
"w-[400px] h-[832px]": device === "mobile",
}
)}
></iframe>
<EditPopup event={clickEvent} iframeRef={iframeRef} doUpdate={doUpdate} />
</div>
);
}
export default PreviewComponent;

View File

@ -0,0 +1,99 @@
import { Tabs, TabsList, TabsTrigger, TabsContent } from "../ui/tabs";
import {
FaUndo,
FaDownload,
FaDesktop,
FaMobile,
FaCode,
} from "react-icons/fa";
import { AppState, Settings } from "../../types";
import CodeTab from "./CodeTab";
import { Button } from "../ui/button";
import { useAppStore } from "../../store/app-store";
import { useProjectStore } from "../../store/project-store";
import { extractHtml } from "./extractHtml";
import PreviewComponent from "./PreviewComponent";
import { downloadCode } from "./download";
interface Props {
doUpdate: (instruction: string) => void;
reset: () => void;
settings: Settings;
}
function PreviewPane({ doUpdate, reset, settings }: Props) {
const { appState } = useAppStore();
const { inputMode, head, commits } = useProjectStore();
const currentCommit = head && commits[head] ? commits[head] : "";
const currentCode = currentCommit
? currentCommit.variants[currentCommit.selectedVariantIndex].code
: "";
const previewCode =
inputMode === "video" && appState === AppState.CODING
? extractHtml(currentCode)
: currentCode;
return (
<div className="ml-4">
<Tabs defaultValue="desktop">
<div className="flex justify-between mr-8 mb-4">
<div className="flex items-center gap-x-2">
{appState === AppState.CODE_READY && (
<>
<Button
onClick={reset}
className="flex items-center ml-4 gap-x-2 dark:text-white dark:bg-gray-700"
>
<FaUndo />
Reset
</Button>
<Button
onClick={() => downloadCode(previewCode)}
variant="secondary"
className="flex items-center gap-x-2 mr-4 dark:text-white dark:bg-gray-700 download-btn"
>
<FaDownload /> Download
</Button>
</>
)}
</div>
<div className="flex items-center">
<TabsList>
<TabsTrigger value="desktop" className="flex gap-x-2">
<FaDesktop /> Desktop
</TabsTrigger>
<TabsTrigger value="mobile" className="flex gap-x-2">
<FaMobile /> Mobile
</TabsTrigger>
<TabsTrigger value="code" className="flex gap-x-2">
<FaCode />
Code
</TabsTrigger>
</TabsList>
</div>
</div>
<TabsContent value="desktop">
<PreviewComponent
code={previewCode}
device="desktop"
doUpdate={doUpdate}
/>
</TabsContent>
<TabsContent value="mobile">
<PreviewComponent
code={previewCode}
device="mobile"
doUpdate={doUpdate}
/>
</TabsContent>
<TabsContent value="code">
<CodeTab code={previewCode} setCode={() => {}} settings={settings} />
</TabsContent>
</Tabs>
</div>
);
}
export default PreviewPane;

View File

@ -0,0 +1,16 @@
export const downloadCode = (code: string) => {
// Create a blob from the generated code
const blob = new Blob([code], { type: "text/html" });
const url = URL.createObjectURL(blob);
// Create an anchor element and set properties for download
const a = document.createElement("a");
a.href = url;
a.download = "index.html"; // Set the file name for download
document.body.appendChild(a); // Append to the document
a.click(); // Programmatically click the anchor to trigger download
// Clean up by removing the anchor and revoking the Blob URL
document.body.removeChild(a);
URL.revokeObjectURL(url);
};

View File

@ -0,0 +1,150 @@
import React, { useEffect, useRef, useState } from "react";
import { Textarea } from "../ui/textarea";
import { Button } from "../ui/button";
import { addHighlight, getAdjustedCoordinates, removeHighlight } from "./utils";
import { useAppStore } from "../../store/app-store";
import KeyboardShortcutBadge from "../core/KeyboardShortcutBadge";
interface EditPopupProps {
event: MouseEvent | null;
iframeRef: React.RefObject<HTMLIFrameElement>;
doUpdate: (updateInstruction: string, selectedElement?: HTMLElement) => void;
}
const EditPopup: React.FC<EditPopupProps> = ({
event,
iframeRef,
doUpdate,
}) => {
// App state
const { inSelectAndEditMode } = useAppStore();
// Create a wrapper ref to store inSelectAndEditMode so the value is not stale
// in a event listener
const inSelectAndEditModeRef = useRef(inSelectAndEditMode);
// Update the ref whenever the state changes
useEffect(() => {
inSelectAndEditModeRef.current = inSelectAndEditMode;
}, [inSelectAndEditMode]);
// Popup state
const [popupVisible, setPopupVisible] = useState(false);
const [popupPosition, setPopupPosition] = useState({ x: 0, y: 0 });
// Edit state
const [selectedElement, setSelectedElement] = useState<
HTMLElement | undefined
>(undefined);
const [updateText, setUpdateText] = useState("");
// Textarea ref for focusing
const textareaRef = useRef<HTMLTextAreaElement | null>(null);
function onUpdate(updateText: string) {
// Perform the update
doUpdate(
updateText,
selectedElement ? removeHighlight(selectedElement) : selectedElement
);
// Unselect the element
setSelectedElement(undefined);
// Hide the popup
setPopupVisible(false);
}
// Remove highlight and reset state when not in select and edit mode
useEffect(() => {
if (!inSelectAndEditMode) {
if (selectedElement) removeHighlight(selectedElement);
setSelectedElement(undefined);
setPopupVisible(false);
}
}, [inSelectAndEditMode, selectedElement]);
// Handle the click event
useEffect(() => {
// Return if not in select and edit mode
if (!inSelectAndEditModeRef.current || !event) {
return;
}
// Prevent default to avoid issues like label clicks triggering textareas, etc.
event.preventDefault();
const targetElement = event.target as HTMLElement;
// Return if no target element
if (!targetElement) return;
// Highlight and set the selected element
setSelectedElement((prev) => {
// Remove style from previous element
if (prev) {
removeHighlight(prev);
}
return addHighlight(targetElement);
});
// Calculate adjusted coordinates
const adjustedCoordinates = getAdjustedCoordinates(
event.clientX,
event.clientY,
iframeRef.current?.getBoundingClientRect()
);
// Show the popup at the click position
setPopupVisible(true);
setPopupPosition({ x: adjustedCoordinates.x, y: adjustedCoordinates.y });
// Reset the update text
setUpdateText("");
// Focus the textarea
textareaRef.current?.focus();
}, [event, iframeRef]);
// Focus the textarea when the popup is visible (we can't do this only when handling the click event
// because the textarea is not rendered yet)
// We need to also do it in the click event because popupVisible doesn't change values in that event
useEffect(() => {
if (popupVisible) {
textareaRef.current?.focus();
}
}, [popupVisible]);
if (!popupVisible) return;
return (
<div
className="absolute bg-white dark:bg-gray-800 p-4 border border-gray-300 dark:border-gray-600 rounded shadow-lg w-60"
style={{ top: popupPosition.y, left: popupPosition.x }}
>
<Textarea
ref={textareaRef}
value={updateText}
onChange={(e) => setUpdateText(e.target.value)}
placeholder="Tell the AI what to change about this element..."
className="dark:bg-gray-700 dark:text-white"
onKeyDown={(e) => {
if (e.key === "Enter") {
e.preventDefault();
onUpdate(updateText);
}
}}
/>
<div className="flex justify-end mt-2">
<Button
className="dark:bg-gray-700 dark:text-white"
onClick={() => onUpdate(updateText)}
>
Update <KeyboardShortcutBadge letter="enter" />
</Button>
</div>
</div>
);
};
export default EditPopup;

View File

@ -0,0 +1,22 @@
import { GiClick } from "react-icons/gi";
import { useAppStore } from "../../store/app-store";
import { Button } from "../ui/button";
function SelectAndEditModeToggleButton() {
const { inSelectAndEditMode, toggleInSelectAndEditMode } = useAppStore();
return (
<Button
onClick={toggleInSelectAndEditMode}
className="flex items-center gap-x-2 dark:text-white dark:bg-gray-700 regenerate-btn"
variant={inSelectAndEditMode ? "destructive" : "default"}
>
<GiClick className="text-lg" />
<span>
{inSelectAndEditMode ? "Exit selection mode" : "Select and update"}
</span>
</Button>
);
}
export default SelectAndEditModeToggleButton;

View File

@ -0,0 +1,22 @@
export function removeHighlight(element: HTMLElement) {
element.style.outline = "";
element.style.backgroundColor = "";
return element;
}
export function addHighlight(element: HTMLElement) {
element.style.outline = "2px dashed #1846db";
element.style.backgroundColor = "#bfcbf5";
return element;
}
export function getAdjustedCoordinates(
x: number,
y: number,
rect: DOMRect | undefined
) {
const offsetX = rect ? rect.left : 0;
const offsetY = rect ? rect.top : 0;
return { x: x + offsetX, y: y + offsetY };
}

View File

@ -0,0 +1,37 @@
import React from "react";
import { useAppStore } from "../../store/app-store";
import { AppState, Settings } from "../../types";
import OutputSettingsSection from "./OutputSettingsSection";
import { Stack } from "../../lib/stacks";
interface GenerationSettingsProps {
settings: Settings;
setSettings: React.Dispatch<React.SetStateAction<Settings>>;
}
export const GenerationSettings: React.FC<GenerationSettingsProps> = ({
settings,
setSettings,
}) => {
const { appState } = useAppStore();
function setStack(stack: Stack) {
setSettings((prev: Settings) => ({
...prev,
generatedCodeConfig: stack,
}));
}
const shouldDisableUpdates =
appState === AppState.CODING || appState === AppState.CODE_READY;
return (
<div className="flex flex-col gap-y-2">
<OutputSettingsSection
stack={settings.generatedCodeConfig}
setStack={setStack}
shouldDisableUpdates={shouldDisableUpdates}
/>
</div>
);
};

View File

@ -5,9 +5,9 @@ import {
SelectGroup, SelectGroup,
SelectItem, SelectItem,
SelectTrigger, SelectTrigger,
} from "./ui/select"; } from "../ui/select";
import { Badge } from "./ui/badge"; import { Badge } from "../ui/badge";
import { Stack, STACK_DESCRIPTIONS } from "../lib/stacks"; import { Stack, STACK_DESCRIPTIONS } from "../../lib/stacks";
function generateDisplayComponent(stack: Stack) { function generateDisplayComponent(stack: Stack) {
const stackComponents = STACK_DESCRIPTIONS[stack].components; const stackComponents = STACK_DESCRIPTIONS[stack].components;

View File

@ -9,19 +9,19 @@ import {
DialogTrigger, DialogTrigger,
} from "@/components/ui/dialog"; } from "@/components/ui/dialog";
import { FaCog } from "react-icons/fa"; import { FaCog } from "react-icons/fa";
import { EditorTheme, Settings } from "../types"; import { EditorTheme, Settings } from "../../types";
import { Switch } from "./ui/switch"; import { Switch } from "../ui/switch";
import { Label } from "./ui/label"; import { Label } from "../ui/label";
import { Input } from "./ui/input"; import { Input } from "../ui/input";
import { Select, SelectContent, SelectItem, SelectTrigger } from "./ui/select"; import { Select, SelectContent, SelectItem, SelectTrigger } from "../ui/select";
import { capitalize } from "../lib/utils"; import { capitalize } from "../../lib/utils";
import { IS_RUNNING_ON_CLOUD } from "../config"; import { IS_RUNNING_ON_CLOUD } from "../../config";
import { import {
Accordion, Accordion,
AccordionContent, AccordionContent,
AccordionItem, AccordionItem,
AccordionTrigger, AccordionTrigger,
} from "./ui/accordion"; } from "../ui/accordion";
interface Props { interface Props {
settings: Settings; settings: Settings;
@ -49,7 +49,7 @@ function SettingsDialog({ settings, setSettings }: Props) {
<div className="flex items-center space-x-2"> <div className="flex items-center space-x-2">
<Label htmlFor="image-generation"> <Label htmlFor="image-generation">
<div>DALL-E Placeholder Image Generation</div> <div>DALL-E Placeholder Image Generation</div>
<div className="font-light mt-2"> <div className="font-light mt-2 text-xs">
More fun with it but if you want to save money, turn it off. More fun with it but if you want to save money, turn it off.
</div> </div>
</Label> </Label>
@ -64,29 +64,31 @@ function SettingsDialog({ settings, setSettings }: Props) {
} }
/> />
</div> </div>
<div className="flex flex-col space-y-4"> <div className="flex flex-col space-y-6">
<Label htmlFor="openai-api-key"> <div>
<div>OpenAI API key</div> <Label htmlFor="openai-api-key">
<div className="font-light mt-2 leading-relaxed"> <div>OpenAI API key</div>
Only stored in your browser. Never stored on servers. Overrides <div className="font-light mt-1 mb-2 text-xs leading-relaxed">
your .env config. Only stored in your browser. Never stored on servers. Overrides
</div> your .env config.
</Label> </div>
</Label>
<Input <Input
id="openai-api-key" id="openai-api-key"
placeholder="OpenAI API key" placeholder="OpenAI API key"
value={settings.openAiApiKey || ""} value={settings.openAiApiKey || ""}
onChange={(e) => onChange={(e) =>
setSettings((s) => ({ setSettings((s) => ({
...s, ...s,
openAiApiKey: e.target.value, openAiApiKey: e.target.value,
})) }))
} }
/> />
</div>
{!IS_RUNNING_ON_CLOUD && ( {!IS_RUNNING_ON_CLOUD && (
<> <div>
<Label htmlFor="openai-api-key"> <Label htmlFor="openai-api-key">
<div>OpenAI Base URL (optional)</div> <div>OpenAI Base URL (optional)</div>
<div className="font-light mt-2 leading-relaxed"> <div className="font-light mt-2 leading-relaxed">
@ -105,9 +107,31 @@ function SettingsDialog({ settings, setSettings }: Props) {
})) }))
} }
/> />
</> </div>
)} )}
<div>
<Label htmlFor="anthropic-api-key">
<div>Anthropic API key</div>
<div className="font-light mt-1 text-xs leading-relaxed">
Only stored in your browser. Never stored on servers. Overrides
your .env config.
</div>
</Label>
<Input
id="anthropic-api-key"
placeholder="Anthropic API key"
value={settings.anthropicApiKey || ""}
onChange={(e) =>
setSettings((s) => ({
...s,
anthropicApiKey: e.target.value,
}))
}
/>
</div>
<Accordion type="single" collapsible className="w-full"> <Accordion type="single" collapsible className="w-full">
<AccordionItem value="item-1"> <AccordionItem value="item-1">
<AccordionTrigger>Screenshot by URL Config</AccordionTrigger> <AccordionTrigger>Screenshot by URL Config</AccordionTrigger>

View File

@ -0,0 +1,196 @@
import { Switch } from "@radix-ui/react-switch";
import classNames from "classnames";
import { useAppStore } from "../../store/app-store";
import { useProjectStore } from "../../store/project-store";
import { AppState } from "../../types";
import CodePreview from "../preview/CodePreview";
import Spinner from "../core/Spinner";
import KeyboardShortcutBadge from "../core/KeyboardShortcutBadge";
import TipLink from "../messages/TipLink";
import SelectAndEditModeToggleButton from "../select-and-edit/SelectAndEditModeToggleButton";
import { Button } from "../ui/button";
import { Textarea } from "../ui/textarea";
import { useEffect, useRef } from "react";
import HistoryDisplay from "../history/HistoryDisplay";
import Variants from "../variants/Variants";
interface SidebarProps {
showSelectAndEditFeature: boolean;
doUpdate: (instruction: string) => void;
regenerate: () => void;
cancelCodeGeneration: () => void;
}
function Sidebar({
showSelectAndEditFeature,
doUpdate,
regenerate,
cancelCodeGeneration,
}: SidebarProps) {
const textareaRef = useRef<HTMLTextAreaElement>(null);
const {
appState,
updateInstruction,
setUpdateInstruction,
shouldIncludeResultImage,
setShouldIncludeResultImage,
} = useAppStore();
const { inputMode, referenceImages, executionConsoles, head, commits } =
useProjectStore();
const viewedCode =
head && commits[head]
? commits[head].variants[commits[head].selectedVariantIndex].code
: "";
const executionConsole =
(head && executionConsoles[commits[head].selectedVariantIndex]) || [];
// When coding is complete, focus on the update instruction textarea
useEffect(() => {
if (appState === AppState.CODE_READY && textareaRef.current) {
textareaRef.current.focus();
}
}, [appState]);
return (
<>
<Variants />
{/* Show code preview only when coding */}
{appState === AppState.CODING && (
<div className="flex flex-col">
{/* Speed disclaimer for video mode */}
{inputMode === "video" && (
<div
className="bg-yellow-100 border-l-4 border-yellow-500 text-yellow-700
p-2 text-xs mb-4 mt-1"
>
Code generation from videos can take 3-4 minutes. We do multiple
passes to get the best result. Please be patient.
</div>
)}
<div className="flex items-center gap-x-1">
<Spinner />
{executionConsole.slice(-1)[0]}
</div>
<CodePreview code={viewedCode} />
<div className="flex w-full">
<Button
onClick={cancelCodeGeneration}
className="w-full dark:text-white dark:bg-gray-700"
>
Cancel
</Button>
</div>
</div>
)}
{appState === AppState.CODE_READY && (
<div>
<div className="grid w-full gap-2">
<Textarea
ref={textareaRef}
placeholder="Tell the AI what to change..."
onChange={(e) => setUpdateInstruction(e.target.value)}
onKeyDown={(e) => {
if (e.key === "Enter" && !e.shiftKey) {
doUpdate(updateInstruction);
}
}}
value={updateInstruction}
/>
<div className="flex justify-between items-center gap-x-2">
<div className="font-500 text-xs text-slate-700 dark:text-white">
Include screenshot of current version?
</div>
<Switch
checked={shouldIncludeResultImage}
onCheckedChange={setShouldIncludeResultImage}
className="dark:bg-gray-700"
/>
</div>
<Button
onClick={() => doUpdate(updateInstruction)}
className="dark:text-white dark:bg-gray-700 update-btn"
>
Update <KeyboardShortcutBadge letter="enter" />
</Button>
</div>
<div className="flex items-center justify-end gap-x-2 mt-2">
<Button
onClick={regenerate}
className="flex items-center gap-x-2 dark:text-white dark:bg-gray-700 regenerate-btn"
>
🔄 Regenerate
</Button>
{showSelectAndEditFeature && <SelectAndEditModeToggleButton />}
</div>
<div className="flex justify-end items-center mt-2">
<TipLink />
</div>
</div>
)}
{/* Reference image display */}
<div className="flex gap-x-2 mt-2">
{referenceImages.length > 0 && (
<div className="flex flex-col">
<div
className={classNames({
"scanning relative": appState === AppState.CODING,
})}
>
{inputMode === "image" && (
<img
className="w-[340px] border border-gray-200 rounded-md"
src={referenceImages[0]}
alt="Reference"
/>
)}
{inputMode === "video" && (
<video
muted
autoPlay
loop
className="w-[340px] border border-gray-200 rounded-md"
src={referenceImages[0]}
/>
)}
</div>
<div className="text-gray-400 uppercase text-sm text-center mt-1">
{inputMode === "video" ? "Original Video" : "Original Screenshot"}
</div>
</div>
)}
<div className="bg-gray-400 px-4 py-2 rounded text-sm hidden">
<h2 className="text-lg mb-4 border-b border-gray-800">Console</h2>
{Object.entries(executionConsoles).map(([index, lines]) => (
<div key={index}>
{lines.map((line, lineIndex) => (
<div
key={`${index}-${lineIndex}`}
className="border-b border-gray-400 mb-2 text-gray-600 font-mono"
>
<span className="font-bold mr-2">{`${index}:${
lineIndex + 1
}`}</span>
{line}
</div>
))}
</div>
))}
</div>
</div>
<HistoryDisplay shouldDisableReverts={appState === AppState.CODING} />
</>
);
}
export default Sidebar;

View File

@ -0,0 +1,27 @@
import React from "react";
import ImageUpload from "../ImageUpload";
import { UrlInputSection } from "../UrlInputSection";
import ImportCodeSection from "../ImportCodeSection";
import { Settings } from "../../types";
import { Stack } from "../../lib/stacks";
interface Props {
doCreate: (images: string[], inputMode: "image" | "video") => void;
importFromCode: (code: string, stack: Stack) => void;
settings: Settings;
}
const StartPane: React.FC<Props> = ({ doCreate, importFromCode, settings }) => {
return (
<div className="flex flex-col justify-center items-center gap-y-10">
<ImageUpload setReferenceImages={doCreate} />
<UrlInputSection
doCreate={doCreate}
screenshotOneApiKey={settings.screenshotOneApiKey}
/>
<ImportCodeSection importFromCode={importFromCode} />
</div>
);
};
export default StartPane;

View File

@ -0,0 +1,42 @@
import { useProjectStore } from "../../store/project-store";
function Variants() {
const { inputMode, head, commits, updateSelectedVariantIndex } =
useProjectStore();
// If there is no head, don't show the variants
if (head === null) {
return null;
}
const commit = commits[head];
const variants = commit.variants;
const selectedVariantIndex = commit.selectedVariantIndex;
// If there is only one variant or the commit is already committed, don't show the variants
if (variants.length <= 1 || commit.isCommitted || inputMode === "video") {
return <div className="mt-2"></div>;
}
return (
<div className="mt-4 mb-4">
<div className="grid grid-cols-2 gap-2">
{variants.map((_, index) => (
<div
key={index}
className={`p-2 border rounded-md cursor-pointer ${
index === selectedVariantIndex
? "bg-blue-100 dark:bg-blue-900"
: "bg-gray-50 dark:bg-gray-800 hover:bg-gray-100 dark:hover:bg-gray-700"
}`}
onClick={() => updateSelectedVariantIndex(head, index)}
>
<h3 className="font-medium mb-1">Option {index + 1}</h3>
</div>
))}
</div>
</div>
);
}
export default Variants;

View File

@ -11,12 +11,18 @@ const ERROR_MESSAGE =
const CANCEL_MESSAGE = "Code generation cancelled"; const CANCEL_MESSAGE = "Code generation cancelled";
type WebSocketResponse = {
type: "chunk" | "status" | "setCode" | "error";
value: string;
variantIndex: number;
};
export function generateCode( export function generateCode(
wsRef: React.MutableRefObject<WebSocket | null>, wsRef: React.MutableRefObject<WebSocket | null>,
params: FullGenerationSettings, params: FullGenerationSettings,
onChange: (chunk: string) => void, onChange: (chunk: string, variantIndex: number) => void,
onSetCode: (code: string) => void, onSetCode: (code: string, variantIndex: number) => void,
onStatusUpdate: (status: string) => void, onStatusUpdate: (status: string, variantIndex: number) => void,
onCancel: () => void, onCancel: () => void,
onComplete: () => void onComplete: () => void
) { ) {
@ -31,13 +37,13 @@ export function generateCode(
}); });
ws.addEventListener("message", async (event: MessageEvent) => { ws.addEventListener("message", async (event: MessageEvent) => {
const response = JSON.parse(event.data); const response = JSON.parse(event.data) as WebSocketResponse;
if (response.type === "chunk") { if (response.type === "chunk") {
onChange(response.value); onChange(response.value, response.variantIndex);
} else if (response.type === "status") { } else if (response.type === "status") {
onStatusUpdate(response.value); onStatusUpdate(response.value, response.variantIndex);
} else if (response.type === "setCode") { } else if (response.type === "setCode") {
onSetCode(response.value); onSetCode(response.value, response.variantIndex);
} else if (response.type === "error") { } else if (response.type === "error") {
console.error("Error generating code", response.value); console.error("Error generating code", response.value);
toast.error(response.value); toast.error(response.value);

View File

@ -1,6 +1,7 @@
// Keep in sync with backend (llm.py) // Keep in sync with backend (llm.py)
// Order here matches dropdown order // Order here matches dropdown order
export enum CodeGenerationModel { export enum CodeGenerationModel {
CLAUDE_3_5_SONNET_2024_06_20 = "claude-3-5-sonnet-20240620",
GPT_4O_2024_05_13 = "gpt-4o-2024-05-13", GPT_4O_2024_05_13 = "gpt-4o-2024-05-13",
GPT_4_TURBO_2024_04_09 = "gpt-4-turbo-2024-04-09", GPT_4_TURBO_2024_04_09 = "gpt-4-turbo-2024-04-09",
GPT_4_VISION = "gpt_4_vision", GPT_4_VISION = "gpt_4_vision",
@ -11,8 +12,9 @@ export enum CodeGenerationModel {
export const CODE_GENERATION_MODEL_DESCRIPTIONS: { export const CODE_GENERATION_MODEL_DESCRIPTIONS: {
[key in CodeGenerationModel]: { name: string; inBeta: boolean }; [key in CodeGenerationModel]: { name: string; inBeta: boolean };
} = { } = {
"gpt-4o-2024-05-13": { name: "GPT-4o 🌟", inBeta: false }, "gpt-4o-2024-05-13": { name: "GPT-4o", inBeta: false },
"gpt-4-turbo-2024-04-09": { name: "GPT-4 Turbo (Apr 2024)", inBeta: false }, "claude-3-5-sonnet-20240620": { name: "Claude 3.5 Sonnet", inBeta: false },
gpt_4_vision: { name: "GPT-4 Vision (Nov 2023)", inBeta: false }, "gpt-4-turbo-2024-04-09": { name: "GPT-4 Turbo (deprecated)", inBeta: false },
claude_3_sonnet: { name: "Claude 3 Sonnet", inBeta: false }, gpt_4_vision: { name: "GPT-4 Vision (deprecated)", inBeta: false },
claude_3_sonnet: { name: "Claude 3 (deprecated)", inBeta: false },
}; };

View File

@ -1,6 +1,8 @@
// Keep in sync with backend (prompts/types.py) // Keep in sync with backend (prompts/types.py)
// Order here determines order in dropdown
export enum Stack { export enum Stack {
HTML_TAILWIND = "html_tailwind", HTML_TAILWIND = "html_tailwind",
HTML_CSS = "html_css",
REACT_TAILWIND = "react_tailwind", REACT_TAILWIND = "react_tailwind",
BOOTSTRAP = "bootstrap", BOOTSTRAP = "bootstrap",
VUE_TAILWIND = "vue_tailwind", VUE_TAILWIND = "vue_tailwind",
@ -11,6 +13,7 @@ export enum Stack {
export const STACK_DESCRIPTIONS: { export const STACK_DESCRIPTIONS: {
[key in Stack]: { components: string[]; inBeta: boolean }; [key in Stack]: { components: string[]; inBeta: boolean };
} = { } = {
html_css: { components: ["HTML", "CSS"], inBeta: false },
html_tailwind: { components: ["HTML", "Tailwind"], inBeta: false }, html_tailwind: { components: ["HTML", "Tailwind"], inBeta: false },
react_tailwind: { components: ["React", "Tailwind"], inBeta: false }, react_tailwind: { components: ["React", "Tailwind"], inBeta: false },
bootstrap: { components: ["Bootstrap"], inBeta: false }, bootstrap: { components: ["Bootstrap"], inBeta: false },

View File

@ -0,0 +1,14 @@
import html2canvas from "html2canvas";
export const takeScreenshot = async (): Promise<string> => {
const iframeElement = document.querySelector(
"#preview-desktop"
) as HTMLIFrameElement;
if (!iframeElement?.contentWindow?.document.body) {
return "";
}
const canvas = await html2canvas(iframeElement.contentWindow.document.body);
const png = canvas.toDataURL("image/png");
return png;
};

View File

@ -0,0 +1,36 @@
import { create } from "zustand";
import { AppState } from "../types";
// Store for app-wide state
interface AppStore {
appState: AppState;
setAppState: (state: AppState) => void;
// UI state
updateInstruction: string;
setUpdateInstruction: (instruction: string) => void;
shouldIncludeResultImage: boolean;
setShouldIncludeResultImage: (shouldInclude: boolean) => void;
inSelectAndEditMode: boolean;
toggleInSelectAndEditMode: () => void;
disableInSelectAndEditMode: () => void;
}
export const useAppStore = create<AppStore>((set) => ({
appState: AppState.INITIAL,
setAppState: (state: AppState) => set({ appState: state }),
// UI state
updateInstruction: "",
setUpdateInstruction: (instruction: string) =>
set({ updateInstruction: instruction }),
shouldIncludeResultImage: true,
setShouldIncludeResultImage: (shouldInclude: boolean) =>
set({ shouldIncludeResultImage: shouldInclude }),
inSelectAndEditMode: false,
toggleInSelectAndEditMode: () =>
set((state) => ({ inSelectAndEditMode: !state.inSelectAndEditMode })),
disableInSelectAndEditMode: () => set({ inSelectAndEditMode: false }),
}));

View File

@ -0,0 +1,149 @@
import { create } from "zustand";
import { Commit, CommitHash } from "../components/commits/types";
// Store for app-wide state
interface ProjectStore {
// Inputs
inputMode: "image" | "video";
setInputMode: (mode: "image" | "video") => void;
isImportedFromCode: boolean;
setIsImportedFromCode: (imported: boolean) => void;
referenceImages: string[];
setReferenceImages: (images: string[]) => void;
// Outputs
commits: Record<string, Commit>;
head: CommitHash | null;
addCommit: (commit: Commit) => void;
removeCommit: (hash: CommitHash) => void;
resetCommits: () => void;
appendCommitCode: (
hash: CommitHash,
numVariant: number,
code: string
) => void;
setCommitCode: (hash: CommitHash, numVariant: number, code: string) => void;
updateSelectedVariantIndex: (hash: CommitHash, index: number) => void;
setHead: (hash: CommitHash) => void;
resetHead: () => void;
executionConsoles: { [key: number]: string[] };
appendExecutionConsole: (variantIndex: number, line: string) => void;
resetExecutionConsoles: () => void;
}
export const useProjectStore = create<ProjectStore>((set) => ({
// Inputs and their setters
inputMode: "image",
setInputMode: (mode) => set({ inputMode: mode }),
isImportedFromCode: false,
setIsImportedFromCode: (imported) => set({ isImportedFromCode: imported }),
referenceImages: [],
setReferenceImages: (images) => set({ referenceImages: images }),
// Outputs
commits: {},
head: null,
addCommit: (commit: Commit) => {
// When adding a new commit, make sure all existing commits are marked as committed
set((state) => ({
commits: {
...Object.fromEntries(
Object.entries(state.commits).map(([hash, existingCommit]) => [
hash,
{ ...existingCommit, isCommitted: true },
])
),
[commit.hash]: commit,
},
}));
},
removeCommit: (hash: CommitHash) => {
set((state) => {
const newCommits = { ...state.commits };
delete newCommits[hash];
return { commits: newCommits };
});
},
resetCommits: () => set({ commits: {} }),
appendCommitCode: (hash: CommitHash, numVariant: number, code: string) =>
set((state) => {
const commit = state.commits[hash];
// Don't update if the commit is already committed
if (commit.isCommitted) {
throw new Error("Attempted to append code to a committed commit");
}
return {
commits: {
...state.commits,
[hash]: {
...commit,
variants: commit.variants.map((variant, index) =>
index === numVariant
? { ...variant, code: variant.code + code }
: variant
),
},
},
};
}),
setCommitCode: (hash: CommitHash, numVariant: number, code: string) =>
set((state) => {
const commit = state.commits[hash];
// Don't update if the commit is already committed
if (commit.isCommitted) {
throw new Error("Attempted to set code of a committed commit");
}
return {
commits: {
...state.commits,
[hash]: {
...commit,
variants: commit.variants.map((variant, index) =>
index === numVariant ? { ...variant, code } : variant
),
},
},
};
}),
updateSelectedVariantIndex: (hash: CommitHash, index: number) =>
set((state) => {
const commit = state.commits[hash];
// Don't update if the commit is already committed
if (commit.isCommitted) {
throw new Error(
"Attempted to update selected variant index of a committed commit"
);
}
return {
commits: {
...state.commits,
[hash]: {
...commit,
selectedVariantIndex: index,
},
},
};
}),
setHead: (hash: CommitHash) => set({ head: hash }),
resetHead: () => set({ head: null }),
executionConsoles: {},
appendExecutionConsole: (variantIndex: number, line: string) =>
set((state) => ({
executionConsoles: {
...state.executionConsoles,
[variantIndex]: [
...(state.executionConsoles[variantIndex] || []),
line,
],
},
})),
resetExecutionConsoles: () => set({ executionConsoles: {} }),
}));

View File

@ -16,14 +16,16 @@ describe("e2e tests", () => {
let browser: Browser; let browser: Browser;
let page: Page; let page: Page;
const DEBUG = false; const DEBUG = true;
const IS_HEADLESS = true; const IS_HEADLESS = true;
const stacks = Object.values(Stack).slice(0, DEBUG ? 1 : undefined); const stacks = Object.values(Stack).slice(0, DEBUG ? 1 : undefined);
const models = Object.values(CodeGenerationModel).slice( const models = DEBUG
0, ? [
DEBUG ? 1 : undefined CodeGenerationModel.GPT_4O_2024_05_13,
); CodeGenerationModel.CLAUDE_3_5_SONNET_2024_06_20,
]
: Object.values(CodeGenerationModel);
beforeAll(async () => { beforeAll(async () => {
browser = await puppeteer.launch({ headless: IS_HEADLESS }); browser = await puppeteer.launch({ headless: IS_HEADLESS });

View File

@ -16,6 +16,7 @@ export interface Settings {
codeGenerationModel: CodeGenerationModel; codeGenerationModel: CodeGenerationModel;
// Only relevant for hosted version // Only relevant for hosted version
isTermOfServiceAccepted: boolean; isTermOfServiceAccepted: boolean;
anthropicApiKey: string | null; // Added property for anthropic API key
} }
export enum AppState { export enum AppState {

View File

@ -4441,6 +4441,11 @@ nanoid@^3.3.6, nanoid@^3.3.7:
resolved "https://registry.npmjs.org/nanoid/-/nanoid-3.3.7.tgz" resolved "https://registry.npmjs.org/nanoid/-/nanoid-3.3.7.tgz"
integrity sha512-eSRppjcPIatRIMC1U6UngP8XFcz8MQWGQdt1MTBQ7NaAmvXDfvNxbvWV3x2y6CdEUciCSsDHDQZbhYaB8QEo2g== integrity sha512-eSRppjcPIatRIMC1U6UngP8XFcz8MQWGQdt1MTBQ7NaAmvXDfvNxbvWV3x2y6CdEUciCSsDHDQZbhYaB8QEo2g==
nanoid@^5.0.7:
version "5.0.7"
resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-5.0.7.tgz#6452e8c5a816861fd9d2b898399f7e5fd6944cc6"
integrity sha512-oLxFY2gd2IqnjcYyOXD8XGCftpGtZP2AbHbOkthDkvRywH5ayNtPVy9YlOPcHckXzbLTCHpkb7FB+yuxKV13pQ==
natural-compare@^1.4.0: natural-compare@^1.4.0:
version "1.4.0" version "1.4.0"
resolved "https://registry.npmjs.org/natural-compare/-/natural-compare-1.4.0.tgz" resolved "https://registry.npmjs.org/natural-compare/-/natural-compare-1.4.0.tgz"
@ -5642,6 +5647,11 @@ use-sidecar@^1.1.2:
detect-node-es "^1.1.0" detect-node-es "^1.1.0"
tslib "^2.0.0" tslib "^2.0.0"
use-sync-external-store@1.2.0:
version "1.2.0"
resolved "https://registry.yarnpkg.com/use-sync-external-store/-/use-sync-external-store-1.2.0.tgz#7dbefd6ef3fe4e767a0cf5d7287aacfb5846928a"
integrity sha512-eEgnFxGQ1Ife9bzYs6VLi8/4X6CObHMw9Qr9tPY43iKwsPw8xE8+EFsf/2cFZ5S3esXgpWgtSCtLNS41F+sKPA==
util-deprecate@^1.0.2: util-deprecate@^1.0.2:
version "1.0.2" version "1.0.2"
resolved "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz" resolved "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz"
@ -5937,3 +5947,10 @@ zod@3.22.4:
version "3.22.4" version "3.22.4"
resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.4.tgz#f31c3a9386f61b1f228af56faa9255e845cf3fff" resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.4.tgz#f31c3a9386f61b1f228af56faa9255e845cf3fff"
integrity sha512-iC+8Io04lddc+mVqQ9AZ7OQ2MrUKGN+oIQyq1vemgt46jwCwLfhq7/pwnBnNXXXZb8VTVLKwp9EDkx+ryxIWmg== integrity sha512-iC+8Io04lddc+mVqQ9AZ7OQ2MrUKGN+oIQyq1vemgt46jwCwLfhq7/pwnBnNXXXZb8VTVLKwp9EDkx+ryxIWmg==
zustand@^4.5.2:
version "4.5.2"
resolved "https://registry.yarnpkg.com/zustand/-/zustand-4.5.2.tgz#fddbe7cac1e71d45413b3682cdb47b48034c3848"
integrity sha512-2cN1tPkDVkwCy5ickKrI7vijSjPksFRfqS6237NzT0vqSsztTNnQdHw9mmN7uBdk3gceVXU0a+21jFzFzAc9+g==
dependencies:
use-sync-external-store "1.2.0"