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Amos Amissah 2023-12-26 19:06:34 +00:00 committed by GitHub
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6
.gitignore vendored
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@ -3,13 +3,15 @@
# Project-related files # Project-related files
# Run logs # Run logs
backend/run_logs/* screenshottocode/run_logs/*
# Weird Docker setup related files # Weird Docker setup related files
backend/backend/* screenshottocode/screenshottocode/*
# Env vars # Env vars
frontend/dist/*
frontend/.env.local frontend/.env.local
screenshottocode/.env
.env .env
# Mac files # Mac files

33
README.md
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@ -26,29 +26,31 @@ See the [Examples](#-examples) section below for more demos.
## 🛠 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. 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 Google API key for Gemini Pro Vision.
Run the backend (I use Poetry for package management - `pip install poetry` if you don't have it): ## Installation
Install package with your preferred python package management app.
```bash ```bash
cd backend pip install https://github.com/theonlyamos/screenshot-to-code/archive/v0.1.0.zip
echo "OPENAI_API_KEY=sk-your-key" > .env
poetry install
poetry shell
poetry run uvicorn main:app --reload --port 7001
``` ```
Run the frontend: ## Usage
After installation, you can run the package from the terminal/command prompt and access the app on http://localhost:7001.
Model Configuration can also be found on the settings modal of the web ui.
### Run with GPT-4 Vision
You can run this with GPT-4 Vision by using the following command line:
```bash ```bash
cd frontend screenshottocode --api-key "<Your Api Key>"
yarn
yarn dev
``` ```
Open http://localhost:5173 to use the app. ### Run with Gemini Pro Vision
You can also run this with Gemini Pro Vision by using the following command line instead:
If you prefer to run the backend on a different port, update VITE_WS_BACKEND_URL in `frontend/.env.local` ```bash
screenshottocode --model gemini --api-key "<Your Api Key>"
```
Using Gemini Pro Vision model is a lot slower than using GPT-4 Vision since Gemini has a maximum output token of 2048. This means the results are fetched iteratively.
For debugging purposes, if you don't want to waste GPT4-Vision credits, you can run the backend in mock mode (which streams a pre-recorded response): For debugging purposes, if you don't want to waste GPT4-Vision credits, you can run the backend in mock mode (which streams a pre-recorded response):
@ -62,7 +64,8 @@ MOCK=true poetry run uvicorn main:app --reload --port 7001
## Docker ## Docker
If you have Docker installed on your system, in the root directory, run: If you have Docker installed on your system, in the root directory,
clone the reposition and then run:
```bash ```bash
echo "OPENAI_API_KEY=sk-your-key" > .env echo "OPENAI_API_KEY=sk-your-key" > .env

11
backend/config.py
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@ -1,11 +0,0 @@
# Useful for debugging purposes when you don't want to waste GPT4-Vision credits
# Setting to True will stream a mock response instead of calling the OpenAI API
# TODO: Should only be set to true when value is 'True', not any abitrary truthy value
import os
SHOULD_MOCK_AI_RESPONSE = bool(os.environ.get("MOCK", False))
# Set to True when running in production (on the hosted version)
# Used as a feature flag to enable or disable certain features
IS_PROD = os.environ.get("IS_PROD", False)

36
backend/llm.py
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@ -1,36 +0,0 @@
from typing import Awaitable, Callable, List
from openai import AsyncOpenAI
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk
MODEL_GPT_4_VISION = "gpt-4-vision-preview"
async def stream_openai_response(
messages: List[ChatCompletionMessageParam],
api_key: str,
base_url: str | None,
callback: Callable[[str], Awaitable[None]],
) -> str:
client = AsyncOpenAI(api_key=api_key, base_url=base_url)
model = MODEL_GPT_4_VISION
# Base parameters
params = {"model": model, "messages": messages, "stream": True, "timeout": 600}
# Add 'max_tokens' only if the model is a GPT4 vision model
if model == MODEL_GPT_4_VISION:
params["max_tokens"] = 4096
params["temperature"] = 0
stream = await client.chat.completions.create(**params) # type: ignore
full_response = ""
async for chunk in stream: # type: ignore
assert isinstance(chunk, ChatCompletionChunk)
content = chunk.choices[0].delta.content or ""
full_response += content
await callback(content)
await client.close()
return full_response

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backend/poetry.lock generated
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@ -1,550 +0,0 @@
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]
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "c31ed2a1ce006749d6f34d8d6aebcbc58d306b9f8925b40cc35972a74979e5c7"

23
backend/pyproject.toml
View File

@ -1,23 +0,0 @@
[tool.poetry]
name = "backend"
version = "0.1.0"
description = ""
authors = ["Abi Raja <abimanyuraja@gmail.com>"]
license = "MIT"
[tool.poetry.dependencies]
python = "^3.10"
fastapi = "^0.95.0"
uvicorn = "^0.24.0.post1"
websockets = "^12.0"
openai = "^1.2.4"
python-dotenv = "^1.0.0"
beautifulsoup4 = "^4.12.2"
httpx = "^0.25.1"
[tool.poetry.group.dev.dependencies]
pytest = "^7.4.3"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

12
backend/routes/home.py
View File

@ -1,12 +0,0 @@
from fastapi import APIRouter
from fastapi.responses import HTMLResponse
router = APIRouter()
@router.get("/")
async def get_status():
return HTMLResponse(
content="<h3>Your backend is running correctly. Please open the front-end URL (default is http://localhost:5173) to use screenshot-to-code.</h3>"
)

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dist/screenshottocode-0.1.0.tar.gz vendored Normal file
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1
frontend/package.json
View File

@ -59,6 +59,7 @@
"eslint-plugin-react-hooks": "^4.6.0", "eslint-plugin-react-hooks": "^4.6.0",
"eslint-plugin-react-refresh": "^0.4.3", "eslint-plugin-react-refresh": "^0.4.3",
"postcss": "^8.4.31", "postcss": "^8.4.31",
"rollup-plugin-copy": "^3.5.0",
"tailwindcss": "^3.3.5", "tailwindcss": "^3.3.5",
"typescript": "^5.0.2", "typescript": "^5.0.2",
"vite": "^4.4.5", "vite": "^4.4.5",

2
frontend/src/App.tsx
View File

@ -55,7 +55,9 @@ function App() {
// Settings // Settings
const [settings, setSettings] = usePersistedState<Settings>( const [settings, setSettings] = usePersistedState<Settings>(
{ {
model: 'gpt-4-vision',
openAiApiKey: null, openAiApiKey: null,
googleApiKey: null,
openAiBaseURL: null, openAiBaseURL: null,
screenshotOneApiKey: null, screenshotOneApiKey: null,
isImageGenerationEnabled: true, isImageGenerationEnabled: true,

2
frontend/src/components/ImageUpload.tsx
View File

@ -139,7 +139,7 @@ function ImageUpload({ setReferenceImages }: Props) {
); );
return ( return (
<section className="container"> <section className="container cursor-pointer">
{/* eslint-disable-next-line @typescript-eslint/no-explicit-any */} {/* eslint-disable-next-line @typescript-eslint/no-explicit-any */}
<div {...getRootProps({ style: style as any })}> <div {...getRootProps({ style: style as any })}>
<input {...getInputProps()} /> <input {...getInputProps()} />

90
frontend/src/components/SettingsDialog.tsx
View File

@ -1,4 +1,4 @@
import React from "react"; import React, { useEffect, useState } from "react";
import { import {
Dialog, Dialog,
DialogClose, DialogClose,
@ -37,6 +37,20 @@ function SettingsDialog({ settings, setSettings }: Props) {
})); }));
}; };
const [isGemini, setIsGemini] = useState(false);
const toggleModelSettings = (model: string)=>{
setIsGemini(model === 'models/gemini-pro-vision')
setSettings((s) => ({
...s,
model,
}))
}
useEffect(()=>{
setIsGemini(settings.model === 'models/gemini-pro-vision')
}, [])
return ( return (
<Dialog> <Dialog>
<DialogTrigger> <DialogTrigger>
@ -71,25 +85,65 @@ function SettingsDialog({ settings, setSettings }: Props) {
/> />
</div> </div>
<div className="flex flex-col space-y-4"> <div className="flex flex-col space-y-4">
<Label htmlFor="openai-api-key"> <Label htmlFor="model-selection">
<div>OpenAI API key</div> <div>Select model to use</div>
<div className="font-light mt-2 leading-relaxed"> <div className="font-light mt-2">
Only stored in your browser. Never stored on servers. Overrides More fun with it but if you want to save money, turn it off.
your .env config.
</div> </div>
</Label> </Label>
<select
<Input className="flex h-9 w-full rounded-md border border-input bg-transparent px-3 py-1 text-sm shadow-sm transition-colors file:border-0 file:bg-transparent file:text-sm file:font-medium placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:cursor-not-allowed disabled:opacity-50"
id="openai-api-key" value={settings.model || ""}
placeholder="OpenAI API key" onChange={(e)=>{toggleModelSettings(e.target.value)}}>
value={settings.openAiApiKey || ""} <option value="gpt-4-vision">GPT 4 Vision</option>
onChange={(e) => <option value="models/gemini-pro-vision">Gemini Pro Vision</option>
setSettings((s) => ({ </select>
...s, </div>
openAiApiKey: e.target.value, <div className="flex flex-col space-y-4">
})) {isGemini
} ?
/> <>
<Label htmlFor="google-api-key">
<div>Google API key</div>
<div className="font-light mt-2 leading-relaxed">
Only stored in your browser. Never stored on servers. Overrides
your .env config.
</div>
</Label>
<Input
id="google-api-key"
placeholder="Google API key"
value={settings.googleApiKey || ""}
onChange={(e) =>
setSettings((s) => ({
...s,
googleApiKey: e.target.value,
}))
}
/>
</>
:
<>
<Label htmlFor="openai-api-key">
<div>OpenAI API key</div>
<div className="font-light mt-2 leading-relaxed">
Only stored in your browser. Never stored on servers. Overrides
your .env config.
</div>
</Label>
<Input
id="openai-api-key"
placeholder="OpenAI API key"
value={settings.openAiApiKey || ""}
onChange={(e) =>
setSettings((s) => ({
...s,
openAiApiKey: e.target.value,
}))
}
/>
</>
}
{!IS_RUNNING_ON_CLOUD && ( {!IS_RUNNING_ON_CLOUD && (
<> <>

2
frontend/src/types.ts
View File

@ -13,7 +13,9 @@ export enum GeneratedCodeConfig {
} }
export interface Settings { export interface Settings {
model: string;
openAiApiKey: string | null; openAiApiKey: string | null;
googleApiKey: string | null;
openAiBaseURL: string | null; openAiBaseURL: string | null;
screenshotOneApiKey: string | null; screenshotOneApiKey: string | null;
isImageGenerationEnabled: boolean; isImageGenerationEnabled: boolean;

7
frontend/vite.config.ts
View File

@ -3,6 +3,7 @@ import { defineConfig, loadEnv } from "vite";
import checker from "vite-plugin-checker"; import checker from "vite-plugin-checker";
import react from "@vitejs/plugin-react"; import react from "@vitejs/plugin-react";
import { createHtmlPlugin } from "vite-plugin-html"; import { createHtmlPlugin } from "vite-plugin-html";
import copy from 'rollup-plugin-copy';
// https://vitejs.dev/config/ // https://vitejs.dev/config/
export default ({ mode }) => { export default ({ mode }) => {
@ -21,6 +22,12 @@ export default ({ mode }) => {
}, },
}, },
}), }),
copy({
targets: [
{ src: 'dist/index.html', dest: path.resolve('../screenshottocode/templates/')},
{ src: 'dist/assets', dest: path.resolve('../screenshottocode/') }
]
})
], ],
resolve: { resolve: {
alias: { alias: {

92
frontend/yarn.lock
View File

@ -1295,11 +1295,38 @@
dependencies: dependencies:
"@babel/types" "^7.20.7" "@babel/types" "^7.20.7"
"@types/fs-extra@^8.0.1":
version "8.1.5"
resolved "https://registry.yarnpkg.com/@types/fs-extra/-/fs-extra-8.1.5.tgz#33aae2962d3b3ec9219b5aca2555ee00274f5927"
integrity sha512-0dzKcwO+S8s2kuF5Z9oUWatQJj5Uq/iqphEtE3GQJVRRYm/tD1LglU2UnXi2A8jLq5umkGouOXOR9y0n613ZwQ==
dependencies:
"@types/node" "*"
"@types/glob@^7.1.1":
version "7.2.0"
resolved "https://registry.yarnpkg.com/@types/glob/-/glob-7.2.0.tgz#bc1b5bf3aa92f25bd5dd39f35c57361bdce5b2eb"
integrity sha512-ZUxbzKl0IfJILTS6t7ip5fQQM/J3TJYubDm3nMbgubNNYS62eXeUpoLUC8/7fJNiFYHTrGPQn7hspDUzIHX3UA==
dependencies:
"@types/minimatch" "*"
"@types/node" "*"
"@types/json-schema@^7.0.12": "@types/json-schema@^7.0.12":
version "7.0.15" version "7.0.15"
resolved "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz" resolved "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz"
integrity sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA== integrity sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA==
"@types/minimatch@*":
version "5.1.2"
resolved "https://registry.yarnpkg.com/@types/minimatch/-/minimatch-5.1.2.tgz#07508b45797cb81ec3f273011b054cd0755eddca"
integrity sha512-K0VQKziLUWkVKiRVrx4a40iPaxTUefQmjtkQofBkYRcoaaL/8rhwDWww9qWbrgicNOgnpIsMxyNIUM4+n6dUIA==
"@types/node@*":
version "20.10.5"
resolved "https://registry.yarnpkg.com/@types/node/-/node-20.10.5.tgz#47ad460b514096b7ed63a1dae26fad0914ed3ab2"
integrity sha512-nNPsNE65wjMxEKI93yOP+NPGGBJz/PoN3kZsVLee0XMiJolxSekEVD8wRwBUBqkwc7UWop0edW50yrCQW4CyRw==
dependencies:
undici-types "~5.26.4"
"@types/node@^20.9.0": "@types/node@^20.9.0":
version "20.9.0" version "20.9.0"
resolved "https://registry.npmjs.org/@types/node/-/node-20.9.0.tgz" resolved "https://registry.npmjs.org/@types/node/-/node-20.9.0.tgz"
@ -1798,6 +1825,11 @@ color-name@~1.1.4:
resolved "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz" resolved "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz"
integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA== integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
colorette@^1.1.0:
version "1.4.0"
resolved "https://registry.yarnpkg.com/colorette/-/colorette-1.4.0.tgz#5190fbb87276259a86ad700bff2c6d6faa3fca40"
integrity sha512-Y2oEozpomLn7Q3HFP7dpww7AtMJplbM9lGZP6RDfHqmbeRjiwRg4n6VM6j4KLmRke85uWEI7JqF17f3pqdRA0g==
colorette@^2.0.16: colorette@^2.0.16:
version "2.0.20" version "2.0.20"
resolved "https://registry.yarnpkg.com/colorette/-/colorette-2.0.20.tgz#9eb793e6833067f7235902fcd3b09917a000a95a" resolved "https://registry.yarnpkg.com/colorette/-/colorette-2.0.20.tgz#9eb793e6833067f7235902fcd3b09917a000a95a"
@ -2206,7 +2238,7 @@ fast-deep-equal@^3.1.1, fast-deep-equal@^3.1.3:
resolved "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz" resolved "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz"
integrity sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q== integrity sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q==
fast-glob@^3.2.11, fast-glob@^3.2.7, fast-glob@^3.2.9, fast-glob@^3.3.0: fast-glob@^3.0.3, fast-glob@^3.2.11, fast-glob@^3.2.7, fast-glob@^3.2.9, fast-glob@^3.3.0:
version "3.3.2" version "3.3.2"
resolved "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.2.tgz" resolved "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.2.tgz"
integrity sha512-oX2ruAFQwf/Orj8m737Y5adxDQO0LAB7/S5MnxCdTNDd4p6BsyIVsv9JQsATbTSq8KHRpLwIHbVlUNatxd+1Ow== integrity sha512-oX2ruAFQwf/Orj8m737Y5adxDQO0LAB7/S5MnxCdTNDd4p6BsyIVsv9JQsATbTSq8KHRpLwIHbVlUNatxd+1Ow==
@ -2307,6 +2339,15 @@ fs-extra@^11.1.0:
jsonfile "^6.0.1" jsonfile "^6.0.1"
universalify "^2.0.0" universalify "^2.0.0"
fs-extra@^8.1.0:
version "8.1.0"
resolved "https://registry.yarnpkg.com/fs-extra/-/fs-extra-8.1.0.tgz#49d43c45a88cd9677668cb7be1b46efdb8d2e1c0"
integrity sha512-yhlQgA6mnOJUKOsRUFsgJdQCvkKhcz8tlZG5HBQfReYZy46OwLcY+Zia0mtdHsOo9y/hP+CxMN0TU9QxoOtG4g==
dependencies:
graceful-fs "^4.2.0"
jsonfile "^4.0.0"
universalify "^0.1.0"
fs.realpath@^1.0.0: fs.realpath@^1.0.0:
version "1.0.0" version "1.0.0"
resolved "https://registry.npmjs.org/fs.realpath/-/fs.realpath-1.0.0.tgz" resolved "https://registry.npmjs.org/fs.realpath/-/fs.realpath-1.0.0.tgz"
@ -2392,6 +2433,20 @@ globals@^13.19.0:
dependencies: dependencies:
type-fest "^0.20.2" type-fest "^0.20.2"
globby@10.0.1:
version "10.0.1"
resolved "https://registry.yarnpkg.com/globby/-/globby-10.0.1.tgz#4782c34cb75dd683351335c5829cc3420e606b22"
integrity sha512-sSs4inE1FB2YQiymcmTv6NWENryABjUNPeWhOvmn4SjtKybglsyPZxFB3U1/+L1bYi0rNZDqCLlHyLYDl1Pq5A==
dependencies:
"@types/glob" "^7.1.1"
array-union "^2.1.0"
dir-glob "^3.0.1"
fast-glob "^3.0.3"
glob "^7.1.3"
ignore "^5.1.1"
merge2 "^1.2.3"
slash "^3.0.0"
globby@^11.1.0: globby@^11.1.0:
version "11.1.0" version "11.1.0"
resolved "https://registry.npmjs.org/globby/-/globby-11.1.0.tgz" resolved "https://registry.npmjs.org/globby/-/globby-11.1.0.tgz"
@ -2467,6 +2522,11 @@ human-signals@^5.0.0:
resolved "https://registry.yarnpkg.com/human-signals/-/human-signals-5.0.0.tgz#42665a284f9ae0dade3ba41ebc37eb4b852f3a28" resolved "https://registry.yarnpkg.com/human-signals/-/human-signals-5.0.0.tgz#42665a284f9ae0dade3ba41ebc37eb4b852f3a28"
integrity sha512-AXcZb6vzzrFAUE61HnN4mpLqd/cSIwNQjtNWR0euPm6y0iqx3G4gOXaIDdtdDwZmhwe82LA6+zinmW4UBWVePQ== integrity sha512-AXcZb6vzzrFAUE61HnN4mpLqd/cSIwNQjtNWR0euPm6y0iqx3G4gOXaIDdtdDwZmhwe82LA6+zinmW4UBWVePQ==
ignore@^5.1.1:
version "5.3.0"
resolved "https://registry.yarnpkg.com/ignore/-/ignore-5.3.0.tgz#67418ae40d34d6999c95ff56016759c718c82f78"
integrity sha512-g7dmpshy+gD7mh88OC9NwSGTKoc3kyLAZQRU1mt53Aw/vnvfXnbC+F/7F7QoYVKbV+KNvJx8wArewKy1vXMtlg==
ignore@^5.2.0, ignore@^5.2.4: ignore@^5.2.0, ignore@^5.2.4:
version "5.2.4" version "5.2.4"
resolved "https://registry.npmjs.org/ignore/-/ignore-5.2.4.tgz" resolved "https://registry.npmjs.org/ignore/-/ignore-5.2.4.tgz"
@ -2541,6 +2601,11 @@ is-path-inside@^3.0.3:
resolved "https://registry.npmjs.org/is-path-inside/-/is-path-inside-3.0.3.tgz" resolved "https://registry.npmjs.org/is-path-inside/-/is-path-inside-3.0.3.tgz"
integrity sha512-Fd4gABb+ycGAmKou8eMftCupSir5lRxqf4aD/vd0cD2qc4HL07OjCeuHMr8Ro4CoMaeCKDB0/ECBOVWjTwUvPQ== integrity sha512-Fd4gABb+ycGAmKou8eMftCupSir5lRxqf4aD/vd0cD2qc4HL07OjCeuHMr8Ro4CoMaeCKDB0/ECBOVWjTwUvPQ==
is-plain-object@^3.0.0:
version "3.0.1"
resolved "https://registry.yarnpkg.com/is-plain-object/-/is-plain-object-3.0.1.tgz#662d92d24c0aa4302407b0d45d21f2251c85f85b"
integrity sha512-Xnpx182SBMrr/aBik8y+GuR4U1L9FqMSojwDQwPMmxyC6bvEqly9UBCxhauBF5vNh2gwWJNX6oDV7O+OM4z34g==
is-stream@^3.0.0: is-stream@^3.0.0:
version "3.0.0" version "3.0.0"
resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-3.0.0.tgz#e6bfd7aa6bef69f4f472ce9bb681e3e57b4319ac" resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-3.0.0.tgz#e6bfd7aa6bef69f4f472ce9bb681e3e57b4319ac"
@ -2608,6 +2673,13 @@ jsonc-parser@^3.2.0:
resolved "https://registry.yarnpkg.com/jsonc-parser/-/jsonc-parser-3.2.0.tgz#31ff3f4c2b9793f89c67212627c51c6394f88e76" resolved "https://registry.yarnpkg.com/jsonc-parser/-/jsonc-parser-3.2.0.tgz#31ff3f4c2b9793f89c67212627c51c6394f88e76"
integrity sha512-gfFQZrcTc8CnKXp6Y4/CBT3fTc0OVuDofpre4aEeEpSBPV5X5v4+Vmx+8snU7RLPrNHPKSgLxGo9YuQzz20o+w== integrity sha512-gfFQZrcTc8CnKXp6Y4/CBT3fTc0OVuDofpre4aEeEpSBPV5X5v4+Vmx+8snU7RLPrNHPKSgLxGo9YuQzz20o+w==
jsonfile@^4.0.0:
version "4.0.0"
resolved "https://registry.yarnpkg.com/jsonfile/-/jsonfile-4.0.0.tgz#8771aae0799b64076b76640fca058f9c10e33ecb"
integrity sha512-m6F1R3z8jjlf2imQHS2Qez5sjKWQzbuuhuJ/FKYFRZvPE3PuHcSMVZzfsLhGVOkfd20obL5SWEBew5ShlquNxg==
optionalDependencies:
graceful-fs "^4.1.6"
jsonfile@^6.0.1: jsonfile@^6.0.1:
version "6.1.0" version "6.1.0"
resolved "https://registry.npmjs.org/jsonfile/-/jsonfile-6.1.0.tgz" resolved "https://registry.npmjs.org/jsonfile/-/jsonfile-6.1.0.tgz"
@ -2719,7 +2791,7 @@ merge-stream@^2.0.0:
resolved "https://registry.yarnpkg.com/merge-stream/-/merge-stream-2.0.0.tgz#52823629a14dd00c9770fb6ad47dc6310f2c1f60" resolved "https://registry.yarnpkg.com/merge-stream/-/merge-stream-2.0.0.tgz#52823629a14dd00c9770fb6ad47dc6310f2c1f60"
integrity sha512-abv/qOcuPfk3URPfDzmZU1LKmuw8kT+0nIHvKrKgFrwifol/doWcdA4ZqsWQ8ENrFKkd67Mfpo/LovbIUsbt3w== integrity sha512-abv/qOcuPfk3URPfDzmZU1LKmuw8kT+0nIHvKrKgFrwifol/doWcdA4ZqsWQ8ENrFKkd67Mfpo/LovbIUsbt3w==
merge2@^1.3.0, merge2@^1.4.1: merge2@^1.2.3, merge2@^1.3.0, merge2@^1.4.1:
version "1.4.1" version "1.4.1"
resolved "https://registry.npmjs.org/merge2/-/merge2-1.4.1.tgz" resolved "https://registry.npmjs.org/merge2/-/merge2-1.4.1.tgz"
integrity sha512-8q7VEgMJW4J8tcfVPy8g09NcQwZdbwFEqhe/WZkoIzjn/3TGDwtOCYtXGxA3O8tPzpczCCDgv+P2P5y00ZJOOg== integrity sha512-8q7VEgMJW4J8tcfVPy8g09NcQwZdbwFEqhe/WZkoIzjn/3TGDwtOCYtXGxA3O8tPzpczCCDgv+P2P5y00ZJOOg==
@ -3230,6 +3302,17 @@ rimraf@^3.0.2:
dependencies: dependencies:
glob "^7.1.3" glob "^7.1.3"
rollup-plugin-copy@^3.5.0:
version "3.5.0"
resolved "https://registry.yarnpkg.com/rollup-plugin-copy/-/rollup-plugin-copy-3.5.0.tgz#7ffa2a7a8303e143876fa64fb5eed9022d304eeb"
integrity sha512-wI8D5dvYovRMx/YYKtUNt3Yxaw4ORC9xo6Gt9t22kveWz1enG9QrhVlagzwrxSC455xD1dHMKhIJkbsQ7d48BA==
dependencies:
"@types/fs-extra" "^8.0.1"
colorette "^1.1.0"
fs-extra "^8.1.0"
globby "10.0.1"
is-plain-object "^3.0.0"
rollup@^3.27.1: rollup@^3.27.1:
version "3.29.4" version "3.29.4"
resolved "https://registry.npmjs.org/rollup/-/rollup-3.29.4.tgz" resolved "https://registry.npmjs.org/rollup/-/rollup-3.29.4.tgz"
@ -3568,6 +3651,11 @@ undici-types@~5.26.4:
resolved "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz" resolved "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz"
integrity sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA== integrity sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==
universalify@^0.1.0:
version "0.1.2"
resolved "https://registry.yarnpkg.com/universalify/-/universalify-0.1.2.tgz#b646f69be3942dabcecc9d6639c80dc105efaa66"
integrity sha512-rBJeI5CXAlmy1pV+617WB9J63U6XcazHHF2f2dbJix4XzpUF0RS3Zbj0FGIOCAva5P/d/GBOYaACQ1w+0azUkg==
universalify@^2.0.0: universalify@^2.0.0:
version "2.0.1" version "2.0.1"
resolved "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz" resolved "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz"

43
pyproject.toml Normal file
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@ -0,0 +1,43 @@
[tool.poetry]
name = "screenshottocode"
version = "0.1.0"
description = ""
authors = [
"Abi Raja <abimanyuraja@gmail.com>",
"Amos Amissah <theonlyamos@gmail.com>"
]
license = "MIT"
readme = "README.md"
homepage = "https://screenshottocode.com/"
repository = "https://github.com/theonlyamos/screenshot-to-code"
include = ["screenshottocode/templates/*", "screenshottocode/assets/*"]
classifiers = [
"Topic :: Software Development :: Build Tools",
"Topic :: Software Development :: Libraries :: Python Modules"
]
[tool.poetry.urls]
"Bug Tracker" = "https://github.com/abi/screenshot-to-code/issues"
[tool.poetry.dependencies]
python = "^3.10"
fastapi = "^0.95.0"
uvicorn = "^0.24.0.post1"
websockets = "^12.0"
openai = "^1.2.4"
python-dotenv = "^1.0.0"
beautifulsoup4 = "^4.12.2"
httpx = "^0.25.1"
google-generativeai = "0.3.0"
google-ai-generativelanguage = "0.4.0"
pillow = "^10.1.0"
[tool.poetry.group.dev.dependencies]
pytest = "^7.4.3"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.poetry.scripts]
screenshottocode = "screenshottocode.cli:main"

0
backend/.gitignore → screenshottocode/.gitignore vendored
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0
backend/Dockerfile → screenshottocode/Dockerfile
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0
backend/README.md → screenshottocode/README.md
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0
backend/access_token.py → screenshottocode/access_token.py
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1
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342
screenshottocode/assets/index-f02835e2.js Normal file
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0
backend/build.sh → screenshottocode/build.sh
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53
screenshottocode/cli.py Normal file
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@ -0,0 +1,53 @@
import os
import sys
import logging
import argparse
from argparse import Namespace
import uvicorn
from .config import Config
from .main import app
def start(args: Namespace):
host = args.host if not args.production else '0.0.0.0'
Config.MODEL = args.model
Config.IS_MODEL_GEMINI = args.model == 'gemini'
Config.API_KEY = args.api_key
if args.production:
Config.MODEL = args.production
uvicorn.run(
app,
host=host,
port=args.port,
proxy_headers=True)
def get_arguments():
global parser
parser.add_argument('-m', '--model', default='gpt-4-vision', type=str, nargs='?', choices=['gpt-4-vision', 'gemini'],
help='Name of Model to use')
parser.add_argument('--api-key', default='', help='Set api key of selected model')
parser.add_argument('--production', action='store_true', help='Run project in production mode')
parser.add_argument('--host', type=str, default='127.0.0.1', help='Host address to run on')
parser.add_argument('--port', type=int, default=7001, help='Host port to run on')
parser.add_argument('-v','--version', action='version', version=f'%(prog)s {Config.VERSION}')
parser.set_defaults(func=start)
return parser.parse_args()
def main():
global parser
try:
parser = argparse.ArgumentParser(description="This simple app converts a screenshot to code (HTML/Tailwind CSS, or React or Bootstrap)")
args = get_arguments()
args.func(args)
except Exception as e:
logging.error(str(e))
parser.print_help()
sys.exit(1)
if __name__ == "__main__":
main()

14
screenshottocode/config.py Normal file
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@ -0,0 +1,14 @@
# Useful for debugging purposes when you don't want to waste GPT4-Vision credits
# Setting to True will stream a mock response instead of calling the OpenAI API
# TODO: Should only be set to true when value is 'True', not any abitrary truthy value
import os
class Config:
SHOULD_MOCK_AI_RESPONSE = bool(os.environ.get("MOCK", False))
MODEL = os.environ.get("MODEL", 'gpt-4-vision')
IS_MODEL_GEMINI = MODEL == 'gemini'
VERSION = '0.1.0'
API_KEY: str = ''
# Set to True when running in production (on the hosted version)
# Used as a feature flag to enable or disable certain features
IS_PROD = os.environ.get("IS_PROD", False)

0
backend/eval.py → screenshottocode/eval.py
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0
backend/eval_config.py → screenshottocode/eval_config.py
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0
backend/eval_utils.py → screenshottocode/eval_utils.py
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0
backend/image_generation.py → screenshottocode/image_generation.py
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0
backend/imported_code_prompts.py → screenshottocode/imported_code_prompts.py
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103
screenshottocode/llm.py Normal file
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@ -0,0 +1,103 @@
import io
from typing import Awaitable, Callable, List, Any
from openai import AsyncOpenAI
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk
import google.generativeai as genai
from PIL import Image
import base64
import os
MODEL_GPT_4_VISION = "gpt-4-vision-preview"
MODEL_GEMINI_PRO_VISION = "models/gemini-pro-vision"
async def format_response(response: str)-> str:
response = response.strip()
if response.startswith('```'):
response = '\n'.join(response.split('\n')[1:-2])
return response
async def format_messages_for_gemnini(messages: List[Any]):
system_promt = messages[0]['content']
image_base64 = messages[1]['content'][0]['image_url']['url']
additional_prompt = messages[1]['content'][1]['text']
base64_data = image_base64.split(",")[1]
decoded_bytes = base64.b64decode(base64_data)
image_bytes = io.BytesIO(decoded_bytes)
image = Image.open(image_bytes)
return [system_promt, image, additional_prompt]
async def stream_openai_response(
messages: List[ChatCompletionMessageParam],
api_key: str,
base_url: str | None,
callback: Callable[[str], Awaitable[None]],
) -> str:
client = AsyncOpenAI(api_key=api_key, base_url=base_url)
model = MODEL_GPT_4_VISION
# Base parameters
params = {"model": model, "messages": messages, "stream": True, "timeout": 600}
# Add 'max_tokens' only if the model is a GPT4 vision model
if model == MODEL_GPT_4_VISION:
params["max_tokens"] = 4096
params["temperature"] = 0
stream = await client.chat.completions.create(**params) # type: ignore
full_response = ""
async for chunk in stream: # type: ignore
assert isinstance(chunk, ChatCompletionChunk)
content = chunk.choices[0].delta.content or ""
full_response += content
await callback(content)
await client.close()
return full_response
async def stream_gemini_response(
messages: List[Any] = [],
api_key: str = os.getenv('GOOGLE_API_KEY', ''),
callback: Callable[[str], Awaitable[None]] | None = None,
) -> str:
genai.configure(api_key=api_key)
model = genai.GenerativeModel('gemini-pro-vision')
general_config = {
"max_output_tokens": 2048,
"temperature": 0.4,
"top_p": 1,
"top_k": 32
}
formatted_messages = await format_messages_for_gemnini(messages)
response = model.generate_content(
formatted_messages,
stream=True,
generation_config=general_config # type: ignore
)
response.resolve()
result = await format_response(response.text)
while "</html>" not in result:
continue_prompt = "Generate the rest of the code below"
formatted_messages.append(continue_prompt)
formatted_messages.append(result)
response = model.generate_content(
formatted_messages,
stream=True,
generation_config=general_config # type: ignore
)
response.resolve()
result += await format_response(response.text)
result = result.strip()
return result

10
backend/main.py → screenshottocode/main.py
View File

@ -1,12 +1,14 @@
# Load environment variables first # Load environment variables first
from dotenv import load_dotenv from dotenv import load_dotenv
from pathlib import Path
load_dotenv() load_dotenv()
from fastapi import FastAPI from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware from fastapi.middleware.cors import CORSMiddleware
from routes import screenshot, generate_code, home, evals from fastapi.staticfiles import StaticFiles
from .routes import screenshot, generate_code, home, evals
app = FastAPI(openapi_url=None, docs_url=None, redoc_url=None) app = FastAPI(openapi_url=None, docs_url=None, redoc_url=None)
@ -19,6 +21,12 @@ app.add_middleware(
allow_headers=["*"], allow_headers=["*"],
) )
# Mount assets folder
assets = Path(__file__).resolve().parent / "assets"
if not assets.exists():
assets.mkdir()
app.mount('/assets', StaticFiles(directory=assets, html=True), name='static')
# Add routes # Add routes
app.include_router(generate_code.router) app.include_router(generate_code.router)
app.include_router(screenshot.router) app.include_router(screenshot.router)

0
backend/mock_llm.py → screenshottocode/mock_llm.py
View File

1001
screenshottocode/poetry.lock generated Normal file
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File diff suppressed because it is too large Load Diff

4
backend/prompts.py → screenshottocode/prompts.py
View File

@ -2,14 +2,14 @@ from typing import List, Union
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionContentPartParam from openai.types.chat import ChatCompletionMessageParam, ChatCompletionContentPartParam
from imported_code_prompts import ( from .imported_code_prompts import (
IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT, IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT,
IMPORTED_CODE_IONIC_TAILWIND_SYSTEM_PROMPT, IMPORTED_CODE_IONIC_TAILWIND_SYSTEM_PROMPT,
IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT, IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT,
IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT, IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT,
IMPORTED_CODE_SVG_SYSTEM_PROMPT, IMPORTED_CODE_SVG_SYSTEM_PROMPT,
) )
from screenshot_system_prompts import ( from .screenshot_system_prompts import (
BOOTSTRAP_SYSTEM_PROMPT, BOOTSTRAP_SYSTEM_PROMPT,
IONIC_TAILWIND_SYSTEM_PROMPT, IONIC_TAILWIND_SYSTEM_PROMPT,
REACT_TAILWIND_SYSTEM_PROMPT, REACT_TAILWIND_SYSTEM_PROMPT,

43
screenshottocode/pyproject.toml Normal file
View File

@ -0,0 +1,43 @@
[tool.poetry]
name = "screenshottocode"
version = "0.1.0"
description = ""
authors = [
"Abi Raja <abimanyuraja@gmail.com>",
"Amos Amissah <theonlyamos@gmail.com>"
]
license = "MIT"
readme = "README.md"
homepage = "https://screenshottocode.com/"
repository = "https://github.com/theonlyamos/screenshot-to-code"
include = ['templates/*', 'assets/*']
classifiers = [
"Topic :: Software Development :: Build Tools",
"Topic :: Software Development :: Libraries :: Python Modules"
]
[tool.poetry.urls]
"Bug Tracker" = "https://github.com/abi/screenshot-to-code/issues"
[tool.poetry.dependencies]
python = "^3.10"
fastapi = "^0.95.0"
uvicorn = "^0.24.0.post1"
websockets = "^12.0"
openai = "^1.2.4"
python-dotenv = "^1.0.0"
beautifulsoup4 = "^4.12.2"
httpx = "^0.25.1"
google-generativeai = "0.3.0"
google-ai-generativelanguage = "0.4.0"
pillow = "^10.1.0"
[tool.poetry.group.dev.dependencies]
pytest = "^7.4.3"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.poetry.scripts]
screenshottocode = "screenshottocode.cli:main"

4
backend/routes/evals.py → screenshottocode/routes/evals.py
View File

@ -1,8 +1,8 @@
import os import os
from fastapi import APIRouter from fastapi import APIRouter
from pydantic import BaseModel from pydantic import BaseModel
from eval_utils import image_to_data_url from ..eval_utils import image_to_data_url
from eval_config import EVALS_DIR from ..eval_config import EVALS_DIR
router = APIRouter() router = APIRouter()

128
backend/routes/generate_code.py → screenshottocode/routes/generate_code.py
View File

@ -2,18 +2,18 @@ import os
import traceback import traceback
from fastapi import APIRouter, WebSocket from fastapi import APIRouter, WebSocket
import openai import openai
from config import IS_PROD, SHOULD_MOCK_AI_RESPONSE from ..config import Config
from llm import stream_openai_response from ..llm import stream_gemini_response, stream_openai_response
from openai.types.chat import ChatCompletionMessageParam from openai.types.chat import ChatCompletionMessageParam
from mock_llm import mock_completion from ..mock_llm import mock_completion
from typing import Dict, List from typing import Dict, List
from image_generation import create_alt_url_mapping, generate_images from ..image_generation import create_alt_url_mapping, generate_images
from prompts import assemble_imported_code_prompt, assemble_prompt from ..prompts import assemble_imported_code_prompt, assemble_prompt
from access_token import validate_access_token from ..access_token import validate_access_token
from datetime import datetime from datetime import datetime
import json import json
from utils import pprint_prompt # type: ignore from ..utils import pprint_prompt # type: ignore
router = APIRouter() router = APIRouter()
@ -63,12 +63,18 @@ async def stream_code(websocket: WebSocket):
# Get the OpenAI API key from the request. Fall back to environment variable if not provided. # Get the OpenAI API key from the request. Fall back to environment variable if not provided.
# If neither is provided, we throw an error. # If neither is provided, we throw an error.
openai_api_key = None openai_api_key = Config.API_KEY if not Config.IS_MODEL_GEMINI else None
openai_base_url = None
google_api_key = Config.API_KEY if Config.IS_MODEL_GEMINI else None
should_generate_images = False
if "accessCode" in params and params["accessCode"]: if "accessCode" in params and params["accessCode"]:
print("Access code - using platform API key") print("Access code - using platform API key")
res = await validate_access_token(params["accessCode"]) res = await validate_access_token(params["accessCode"])
if res["success"]: if res["success"]:
openai_api_key = os.environ.get("PLATFORM_OPENAI_API_KEY") openai_api_key = os.environ.get("PLATFORM_OPENAI_API_KEY")
google_api_key = os.environ.get("PLATFORM_GOOGLE_API_KEY")
else: else:
await websocket.send_json( await websocket.send_json(
{ {
@ -78,48 +84,61 @@ async def stream_code(websocket: WebSocket):
) )
return return
else: else:
if params["openAiApiKey"]: if params['model'] == 'models/gemini-pro-vision':
openai_api_key = params["openAiApiKey"] print('Using the Gemini Pro Vision Model')
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: Config.MODEL = 'gemini'
print("OpenAI API key not found") Config.IS_MODEL_GEMINI = True
google_api_key = params['googleApiKey']
if google_api_key:
Config.API_KEY = google_api_key
print("Using Google API key from client-side settings dialog")
else:
print('Using the GPT 4 Vision Model')
if params["openAiApiKey"]:
openai_api_key = params["openAiApiKey"]
if openai_api_key:
Config.API_KEY = openai_api_key
print("Using OpenAI API key from client-side settings dialog")
else:
if openai_api_key:
print("Using OpenAI API key from environment variable")
if (not Config.IS_MODEL_GEMINI and not Config.API_KEY) or (Config.IS_MODEL_GEMINI and not Config.API_KEY):
print("API key not found")
await websocket.send_json( await websocket.send_json(
{ {
"type": "error", "type": "error",
"value": "No OpenAI API key found. Please add your API key in the settings dialog or add it to backend/.env file.", "value": "No API key found. Please add your API key in the settings dialog or add it to backend/.env file.",
} }
) )
return return
# Get the OpenAI Base URL from the request. Fall back to environment variable if not provided. if not Config.IS_MODEL_GEMINI:
openai_base_url = None # Get the OpenAI Base URL from the request. Fall back to environment variable if not provided.
# Disable user-specified OpenAI Base URL in prod openai_base_url = None
if not os.environ.get("IS_PROD"): # Disable user-specified OpenAI Base URL in prod
if "openAiBaseURL" in params and params["openAiBaseURL"]: if not os.environ.get("Config.IS_PROD"):
openai_base_url = params["openAiBaseURL"] if "openAiBaseURL" in params and params["openAiBaseURL"]:
print("Using OpenAI Base URL from client-side settings dialog") openai_base_url = params["openAiBaseURL"]
else: print("Using OpenAI Base URL from client-side settings dialog")
openai_base_url = os.environ.get("OPENAI_BASE_URL") else:
if openai_base_url: openai_base_url = os.environ.get("OPENAI_BASE_URL")
print("Using OpenAI Base URL from environment variable") 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 = (
params["isImageGenerationEnabled"] params["isImageGenerationEnabled"]
if "isImageGenerationEnabled" in params if "isImageGenerationEnabled" in params
else True else True
) )
print("generating code...") print("generating code...")
await websocket.send_json({"type": "status", "value": "Generating code..."}) await websocket.send_json({"type": "status", "value": "Generating code..."})
async def process_chunk(content: str): async def process_chunk(content: str):
await websocket.send_json({"type": "chunk", "value": content}) await websocket.send_json({"type": "chunk", "value": content})
@ -184,15 +203,21 @@ async def stream_code(websocket: WebSocket):
image_cache = create_alt_url_mapping(params["history"][-2]) image_cache = create_alt_url_mapping(params["history"][-2])
pprint_prompt(prompt_messages) # pprint_prompt(prompt_messages)
completion = ""
if SHOULD_MOCK_AI_RESPONSE: if Config.SHOULD_MOCK_AI_RESPONSE:
completion = await mock_completion(process_chunk) completion = await mock_completion(process_chunk)
else: elif Config.IS_MODEL_GEMINI and Config.API_KEY:
completion = await stream_gemini_response(
prompt_messages,
api_key=Config.API_KEY,
callback=lambda x: process_chunk(x),
)
elif Config.API_KEY:
try: try:
completion = await stream_openai_response( completion = await stream_openai_response(
prompt_messages, prompt_messages,
api_key=openai_api_key, api_key=Config.API_KEY,
base_url=openai_base_url, base_url=openai_base_url,
callback=lambda x: process_chunk(x), callback=lambda x: process_chunk(x),
) )
@ -202,7 +227,7 @@ async def stream_code(websocket: WebSocket):
"Incorrect OpenAI key. Please make sure your OpenAI API key is correct, or create a new OpenAI API key on your OpenAI dashboard." "Incorrect OpenAI key. Please make sure your OpenAI API key is correct, or create a new OpenAI API key on your OpenAI dashboard."
+ ( + (
" Alternatively, you can purchase code generation credits directly on this website." " Alternatively, you can purchase code generation credits directly on this website."
if IS_PROD if Config.IS_PROD
else "" else ""
) )
) )
@ -214,7 +239,7 @@ async def stream_code(websocket: WebSocket):
+ ". Please make sure you have followed the instructions correctly to obtain an OpenAI key with GPT vision access: https://github.com/abi/screenshot-to-code/blob/main/Troubleshooting.md" + ". Please make sure you have followed the instructions correctly to obtain an OpenAI key with GPT vision access: https://github.com/abi/screenshot-to-code/blob/main/Troubleshooting.md"
+ ( + (
" Alternatively, you can purchase code generation credits directly on this website." " Alternatively, you can purchase code generation credits directly on this website."
if IS_PROD if Config.IS_PROD
else "" else ""
) )
) )
@ -225,7 +250,7 @@ async def stream_code(websocket: WebSocket):
"OpenAI error - 'You exceeded your current quota, please check your plan and billing details.'" "OpenAI error - 'You exceeded your current quota, please check your plan and billing details.'"
+ ( + (
" Alternatively, you can purchase code generation credits directly on this website." " Alternatively, you can purchase code generation credits directly on this website."
if IS_PROD if Config.IS_PROD
else "" else ""
) )
) )
@ -260,5 +285,14 @@ async def stream_code(websocket: WebSocket):
await websocket.send_json( await websocket.send_json(
{"type": "status", "value": "Image generation failed but code is complete."} {"type": "status", "value": "Image generation failed but code is complete."}
) )
except RuntimeError as e:
traceback.print_exc()
print("Code 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": "Code generation failed but code is complete."}
)
await websocket.close() await websocket.close()

17
screenshottocode/routes/home.py Normal file
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@ -0,0 +1,17 @@
from fastapi import APIRouter
from fastapi.responses import HTMLResponse
from pathlib import Path
router = APIRouter()
@router.get("/")
async def get_status():
html_path = Path(__file__, '..', '..', 'templates', 'index.html').resolve()
html_content = ''
with html_path.open('rt') as file:
html_content = file.read()
return HTMLResponse(
content=html_content
)

0
backend/routes/screenshot.py → screenshottocode/routes/screenshot.py
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0
backend/screenshot_system_prompts.py → screenshottocode/screenshot_system_prompts.py
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1
screenshottocode/templates/index.html Normal file
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@ -0,0 +1 @@
<!doctype html><html lang="en"><head><meta charset="UTF-8"/><link rel="icon" type="image/svg+xml" href="https://picoapps.xyz/favicon.png"/><meta name="viewport" content="width=device-width,initial-scale=1"/><link rel="preconnect" href="https://fonts.googleapis.com"/><link rel="preconnect" href="https://fonts.gstatic.com" crossorigin/><link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;700&display=swap" rel="stylesheet"/><title>Screenshot to Code</title><meta property="og:title" content="Screenshot to Code"/><meta property="og:description" content="Convert any screenshot or design to clean code"/><meta property="og:image" content="https://screenshottocode.com/brand/twitter-summary-card.png"/><meta property="og:image:width" content="1200"/><meta property="og:image:height" content="628"/><meta property="og:url" content="https://screenshottocode.com"/><meta property="og:type" content="website"/><meta name="twitter:card" content="summary_large_image"/><meta name="twitter:site" content="@picoapps"/><meta name="twitter:title" content="Screenshot to Code"/><meta name="twitter:description" content="Convert any screenshot or design to clean code"/><meta name="twitter:image" content="https://screenshottocode.com/brand/twitter-summary-card.png"/><script type="module" crossorigin src="./assets/index-f02835e2.js"></script><link rel="stylesheet" href="./assets/index-a937a359.css"></head><body><div id="root"></div></body></html>

0
backend/test_prompts.py → screenshottocode/test_prompts.py
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0
backend/utils.py → screenshottocode/utils.py
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