commit
c9e99f068c
3
.vscode/settings.json
vendored
Normal file
3
.vscode/settings.json
vendored
Normal file
@ -0,0 +1,3 @@
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{
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"python.analysis.typeCheckingMode": "strict"
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}
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11
README.md
11
README.md
@ -1,6 +1,6 @@
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# screenshot-to-code
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This simple app converts a screenshot to code (HTML/Tailwind CSS, or React or Vue or Bootstrap). It uses GPT-4 Vision to generate the code and DALL-E 3 to generate similar-looking images. You can now also enter a URL to clone a live website!
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This simple app converts a screenshot to code (HTML/Tailwind CSS, or React or Bootstrap or Vue). It uses GPT-4 Vision to generate the code and DALL-E 3 to generate similar-looking images. You can now also enter a URL to clone a live website!
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https://github.com/abi/screenshot-to-code/assets/23818/6cebadae-2fe3-4986-ac6a-8fb9db030045
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@ -12,6 +12,7 @@ See the [Examples](#-examples) section below for more demos.
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## 🌟 Recent Updates
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- Dec 11 - Start a new project from existing code (allows you to come back to an older project)
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- Dec 7 - 🔥 🔥 🔥 View a history of your edits, and branch off them
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- Nov 30 - Dark mode, output code in Ionic (thanks [@dialmedu](https://github.com/dialmedu)), set OpenAI base URL
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- Nov 28 - 🔥 🔥 🔥 Customize your stack: React or Bootstrap or TailwindCSS
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@ -37,6 +38,12 @@ poetry shell
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poetry run uvicorn main:app --reload --port 7001
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```
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You can also run the backend (when you're in `backend`):
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```bash
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poetry run pyright
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```
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Run the frontend:
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```bash
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@ -57,7 +64,7 @@ MOCK=true poetry run uvicorn main:app --reload --port 7001
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## Configuration
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* You can configure the OpenAI base URL if you need to use a proxy: Set OPENAI_BASE_URL in the `backend/.env` or directly in the UI in the settings dialog
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- You can configure the OpenAI base URL if you need to use a proxy: Set OPENAI_BASE_URL in the `backend/.env` or directly in the UI in the settings dialog
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## Docker
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4
backend/.gitignore
vendored
4
backend/.gitignore
vendored
@ -150,3 +150,7 @@ cython_debug/
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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# Temporary eval output
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evals_data
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@ -1,3 +1,7 @@
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Run tests
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# Run the type checker
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pytest test_prompts.py
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poetry run pyright
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# Run tests
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poetry run pytest
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11
backend/config.py
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11
backend/config.py
Normal file
@ -0,0 +1,11 @@
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# Useful for debugging purposes when you don't want to waste GPT4-Vision credits
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# Setting to True will stream a mock response instead of calling the OpenAI API
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# TODO: Should only be set to true when value is 'True', not any abitrary truthy value
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import os
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SHOULD_MOCK_AI_RESPONSE = bool(os.environ.get("MOCK", False))
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# Set to True when running in production (on the hosted version)
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# Used as a feature flag to enable or disable certain features
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IS_PROD = os.environ.get("IS_PROD", False)
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0
backend/evals/__init__.py
Normal file
0
backend/evals/__init__.py
Normal file
1
backend/evals/config.py
Normal file
1
backend/evals/config.py
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@ -0,0 +1 @@
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EVALS_DIR = "./evals_data"
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29
backend/evals/core.py
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29
backend/evals/core.py
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@ -0,0 +1,29 @@
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import os
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from llm import stream_openai_response
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from prompts import assemble_prompt
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from prompts.types import Stack
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from utils import pprint_prompt
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async def generate_code_core(image_url: str, stack: Stack) -> str:
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prompt_messages = assemble_prompt(image_url, stack)
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openai_api_key = os.environ.get("OPENAI_API_KEY")
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openai_base_url = None
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pprint_prompt(prompt_messages)
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async def process_chunk(content: str):
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pass
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if not openai_api_key:
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raise Exception("OpenAI API key not found")
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completion = await stream_openai_response(
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prompt_messages,
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api_key=openai_api_key,
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base_url=openai_base_url,
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callback=lambda x: process_chunk(x),
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)
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return completion
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7
backend/evals/utils.py
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7
backend/evals/utils.py
Normal file
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import base64
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async def image_to_data_url(filepath: str):
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with open(filepath, "rb") as image_file:
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encoded_string = base64.b64encode(image_file.read()).decode()
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return f"data:image/png;base64,{encoded_string}"
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@ -1,15 +1,15 @@
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import asyncio
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import os
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import re
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from typing import Dict, List, Union
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from openai import AsyncOpenAI
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from bs4 import BeautifulSoup
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async def process_tasks(prompts, api_key, base_url):
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async def process_tasks(prompts: List[str], api_key: str, base_url: str):
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tasks = [generate_image(prompt, api_key, base_url) for prompt in prompts]
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results = await asyncio.gather(*tasks, return_exceptions=True)
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processed_results = []
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processed_results: List[Union[str, None]] = []
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for result in results:
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if isinstance(result, Exception):
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print(f"An exception occurred: {result}")
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@ -20,9 +20,9 @@ async def process_tasks(prompts, api_key, base_url):
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return processed_results
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async def generate_image(prompt, api_key, base_url):
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async def generate_image(prompt: str, api_key: str, base_url: str):
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client = AsyncOpenAI(api_key=api_key, base_url=base_url)
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image_params = {
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image_params: Dict[str, Union[str, int]] = {
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"model": "dall-e-3",
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"quality": "standard",
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"style": "natural",
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@ -35,7 +35,7 @@ async def generate_image(prompt, api_key, base_url):
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return res.data[0].url
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def extract_dimensions(url):
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def extract_dimensions(url: str):
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# Regular expression to match numbers in the format '300x200'
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matches = re.findall(r"(\d+)x(\d+)", url)
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@ -48,11 +48,11 @@ def extract_dimensions(url):
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return (100, 100)
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def create_alt_url_mapping(code):
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def create_alt_url_mapping(code: str) -> Dict[str, str]:
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soup = BeautifulSoup(code, "html.parser")
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images = soup.find_all("img")
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mapping = {}
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mapping: Dict[str, str] = {}
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for image in images:
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if not image["src"].startswith("https://placehold.co"):
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@ -61,7 +61,9 @@ def create_alt_url_mapping(code):
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return mapping
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async def generate_images(code, api_key, base_url, image_cache):
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async def generate_images(
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code: str, api_key: str, base_url: Union[str, None], image_cache: Dict[str, str]
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):
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# Find all images
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soup = BeautifulSoup(code, "html.parser")
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images = soup.find_all("img")
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@ -1,16 +1,16 @@
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import os
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from typing import Awaitable, Callable
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from typing import Awaitable, Callable, List
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from openai import AsyncOpenAI
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from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk
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MODEL_GPT_4_VISION = "gpt-4-vision-preview"
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async def stream_openai_response(
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messages,
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messages: List[ChatCompletionMessageParam],
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api_key: str,
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base_url: str | None,
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callback: Callable[[str], Awaitable[None]],
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):
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) -> str:
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client = AsyncOpenAI(api_key=api_key, base_url=base_url)
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model = MODEL_GPT_4_VISION
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@ -23,9 +23,10 @@ async def stream_openai_response(
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params["max_tokens"] = 4096
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params["temperature"] = 0
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completion = await client.chat.completions.create(**params)
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stream = await client.chat.completions.create(**params) # type: ignore
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full_response = ""
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async for chunk in completion:
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async for chunk in stream: # type: ignore
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assert isinstance(chunk, ChatCompletionChunk)
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content = chunk.choices[0].delta.content or ""
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full_response += content
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await callback(content)
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265
backend/main.py
265
backend/main.py
@ -1,26 +1,12 @@
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# Load environment variables first
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from dotenv import load_dotenv
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load_dotenv()
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import json
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import os
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import traceback
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from datetime import datetime
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from fastapi import FastAPI, WebSocket
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from fastapi.staticfiles import StaticFiles
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import FileResponse, HTMLResponse
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import openai
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from llm import stream_openai_response
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from mock import mock_completion
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from utils import pprint_prompt
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from image_generation import create_alt_url_mapping, generate_images
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from prompts import assemble_prompt
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from routes import screenshot
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from access_token import validate_access_token
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from routes import screenshot, generate_code, home, evals
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app = FastAPI(openapi_url=None, docs_url=None, redoc_url=None)
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@ -33,247 +19,8 @@ app.add_middleware(
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allow_headers=["*"],
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)
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# Useful for debugging purposes when you don't want to waste GPT4-Vision credits
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# 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
|
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SHOULD_MOCK_AI_RESPONSE = bool(os.environ.get("MOCK", False))
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|
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# Set to True when running in production (on the hosted version)
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# Used as a feature flag to enable or disable certain features
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IS_PROD = os.environ.get("IS_PROD", False)
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# if webui folder exists, we are in build mode
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IS_BUILD = os.path.exists("webui")
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# Add routes
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app.include_router(generate_code.router)
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app.include_router(screenshot.router)
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@app.get("/")
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async def get_status():
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if IS_BUILD:
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# if in build mode, return webui/index.html
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return FileResponse("webui/index.html")
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|
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return HTMLResponse(
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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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)
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|
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def write_logs(prompt_messages, completion):
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# Get the logs path from environment, default to the current working directory
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logs_path = os.environ.get("LOGS_PATH", os.getcwd())
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|
||||
# Create run_logs directory if it doesn't exist within the specified logs path
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logs_directory = os.path.join(logs_path, "run_logs")
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if not os.path.exists(logs_directory):
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os.makedirs(logs_directory)
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|
||||
print("Writing to logs directory:", logs_directory)
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||||
|
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# Generate a unique filename using the current timestamp within the logs directory
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filename = datetime.now().strftime(f"{logs_directory}/messages_%Y%m%d_%H%M%S.json")
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|
||||
# Write the messages dict into a new file for each run
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||||
with open(filename, "w") as f:
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||||
f.write(json.dumps({"prompt": prompt_messages, "completion": completion}))
|
||||
|
||||
|
||||
@app.websocket("/generate-code")
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async def stream_code(websocket: WebSocket):
|
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await websocket.accept()
|
||||
|
||||
print("Incoming websocket connection...")
|
||||
|
||||
async def throw_error(
|
||||
message: str,
|
||||
):
|
||||
await websocket.send_json({"type": "error", "value": message})
|
||||
await websocket.close()
|
||||
|
||||
params = await websocket.receive_json()
|
||||
|
||||
print("Received params")
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||||
|
||||
# Read the code config settings from the request. Fall back to default if not provided.
|
||||
generated_code_config = ""
|
||||
if "generatedCodeConfig" in params and params["generatedCodeConfig"]:
|
||||
generated_code_config = params["generatedCodeConfig"]
|
||||
print(f"Generating {generated_code_config} code")
|
||||
|
||||
# Get the OpenAI API key from the request. Fall back to environment variable if not provided.
|
||||
# If neither is provided, we throw an error.
|
||||
openai_api_key = None
|
||||
if "accessCode" in params and params["accessCode"]:
|
||||
print("Access code - using platform API key")
|
||||
res = await validate_access_token(params["accessCode"])
|
||||
if res["success"]:
|
||||
openai_api_key = os.environ.get("PLATFORM_OPENAI_API_KEY")
|
||||
else:
|
||||
await websocket.send_json(
|
||||
{
|
||||
"type": "error",
|
||||
"value": res["failure_reason"],
|
||||
}
|
||||
)
|
||||
return
|
||||
else:
|
||||
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:
|
||||
print("OpenAI API key not found")
|
||||
await websocket.send_json(
|
||||
{
|
||||
"type": "error",
|
||||
"value": "No OpenAI API key found. Please add your API key in the settings dialog or add it to backend/.env file.",
|
||||
}
|
||||
)
|
||||
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
|
||||
if not os.environ.get("IS_PROD"):
|
||||
if "openAiBaseURL" in params and params["openAiBaseURL"]:
|
||||
openai_base_url = params["openAiBaseURL"]
|
||||
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:
|
||||
print("Using official OpenAI URL")
|
||||
|
||||
# Get the image generation flag from the request. Fall back to True if not provided.
|
||||
should_generate_images = (
|
||||
params["isImageGenerationEnabled"]
|
||||
if "isImageGenerationEnabled" in params
|
||||
else True
|
||||
)
|
||||
|
||||
print("generating code...")
|
||||
await websocket.send_json({"type": "status", "value": "Generating code..."})
|
||||
|
||||
async def process_chunk(content):
|
||||
await websocket.send_json({"type": "chunk", "value": content})
|
||||
|
||||
# Assemble the prompt
|
||||
try:
|
||||
if params.get("resultImage") and params["resultImage"]:
|
||||
prompt_messages = assemble_prompt(
|
||||
params["image"], generated_code_config, params["resultImage"]
|
||||
)
|
||||
else:
|
||||
prompt_messages = assemble_prompt(params["image"], generated_code_config)
|
||||
except:
|
||||
await websocket.send_json(
|
||||
{
|
||||
"type": "error",
|
||||
"value": "Error assembling prompt. Contact support at support@picoapps.xyz",
|
||||
}
|
||||
)
|
||||
await websocket.close()
|
||||
return
|
||||
|
||||
# Image cache for updates so that we don't have to regenerate images
|
||||
image_cache = {}
|
||||
|
||||
if params["generationType"] == "update":
|
||||
# Transform into message format
|
||||
# TODO: Move this to frontend
|
||||
for index, text in enumerate(params["history"]):
|
||||
prompt_messages += [
|
||||
{"role": "assistant" if index % 2 == 0 else "user", "content": text}
|
||||
]
|
||||
image_cache = create_alt_url_mapping(params["history"][-2])
|
||||
|
||||
if SHOULD_MOCK_AI_RESPONSE:
|
||||
completion = await mock_completion(process_chunk)
|
||||
else:
|
||||
try:
|
||||
completion = await stream_openai_response(
|
||||
prompt_messages,
|
||||
api_key=openai_api_key,
|
||||
base_url=openai_base_url,
|
||||
callback=lambda x: process_chunk(x),
|
||||
)
|
||||
except openai.AuthenticationError as e:
|
||||
print("[GENERATE_CODE] Authentication failed", e)
|
||||
error_message = (
|
||||
"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."
|
||||
if IS_PROD
|
||||
else ""
|
||||
)
|
||||
)
|
||||
return await throw_error(error_message)
|
||||
except openai.NotFoundError as e:
|
||||
print("[GENERATE_CODE] Model not found", e)
|
||||
error_message = (
|
||||
e.message
|
||||
+ ". 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."
|
||||
if IS_PROD
|
||||
else ""
|
||||
)
|
||||
)
|
||||
return await throw_error(error_message)
|
||||
except openai.RateLimitError as e:
|
||||
print("[GENERATE_CODE] Rate limit exceeded", e)
|
||||
error_message = (
|
||||
"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."
|
||||
if IS_PROD
|
||||
else ""
|
||||
)
|
||||
)
|
||||
return await throw_error(error_message)
|
||||
|
||||
# Write the messages dict into a log so that we can debug later
|
||||
write_logs(prompt_messages, completion)
|
||||
|
||||
try:
|
||||
if should_generate_images:
|
||||
await websocket.send_json(
|
||||
{"type": "status", "value": "Generating images..."}
|
||||
)
|
||||
updated_html = await generate_images(
|
||||
completion,
|
||||
api_key=openai_api_key,
|
||||
base_url=openai_base_url,
|
||||
image_cache=image_cache,
|
||||
)
|
||||
else:
|
||||
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)
|
||||
await websocket.send_json(
|
||||
{"type": "status", "value": "Image generation failed but code is complete."}
|
||||
)
|
||||
|
||||
await websocket.close()
|
||||
|
||||
|
||||
# Serve the webui folder as static files
|
||||
if IS_BUILD:
|
||||
app.mount("/", StaticFiles(directory="webui", html=True), name="webui")
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
uvicorn.run(app, host="0.0.0.0", port=8000)
|
||||
app.include_router(home.router)
|
||||
app.include_router(evals.router)
|
||||
@ -1,7 +1,8 @@
|
||||
import asyncio
|
||||
from typing import Awaitable, Callable
|
||||
|
||||
|
||||
async def mock_completion(process_chunk):
|
||||
async def mock_completion(process_chunk: Callable[[str], Awaitable[None]]) -> str:
|
||||
code_to_return = NO_IMAGES_NYTIMES_MOCK_CODE
|
||||
|
||||
for i in range(0, len(code_to_return), 10):
|
||||
65
backend/poetry.lock
generated
65
backend/poetry.lock
generated
@ -200,19 +200,31 @@ files = [
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "macholib"
|
||||
version = "1.16.3"
|
||||
description = "Mach-O header analysis and editing"
|
||||
name = "iniconfig"
|
||||
version = "2.0.0"
|
||||
description = "brain-dead simple config-ini parsing"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "macholib-1.16.3-py2.py3-none-any.whl", hash = "sha256:0e315d7583d38b8c77e815b1ecbdbf504a8258d8b3e17b61165c6feb60d18f2c"},
|
||||
{file = "macholib-1.16.3.tar.gz", hash = "sha256:07ae9e15e8e4cd9a788013d81f5908b3609aa76f9b1421bae9c4d7606ec86a30"},
|
||||
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
|
||||
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nodeenv"
|
||||
version = "1.8.0"
|
||||
description = "Node.js virtual environment builder"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
|
||||
files = [
|
||||
{file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
|
||||
{file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
altgraph = ">=0.17"
|
||||
|
||||
setuptools = "*"
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "1.3.7"
|
||||
@ -240,6 +252,7 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
|
||||
name = "packaging"
|
||||
version = "23.2"
|
||||
description = "Core utilities for Python packages"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
@ -248,16 +261,21 @@ files = [
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pefile"
|
||||
version = "2023.2.7"
|
||||
description = "Python PE parsing module"
|
||||
name = "pluggy"
|
||||
version = "1.3.0"
|
||||
description = "plugin and hook calling mechanisms for python"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.6.0"
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pefile-2023.2.7-py3-none-any.whl", hash = "sha256:da185cd2af68c08a6cd4481f7325ed600a88f6a813bad9dea07ab3ef73d8d8d6"},
|
||||
{file = "pefile-2023.2.7.tar.gz", hash = "sha256:82e6114004b3d6911c77c3953e3838654b04511b8b66e8583db70c65998017dc"},
|
||||
{file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
|
||||
{file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
dev = ["pre-commit", "tox"]
|
||||
testing = ["pytest", "pytest-benchmark"]
|
||||
|
||||
[[package]]
|
||||
name = "pydantic"
|
||||
version = "1.10.13"
|
||||
@ -354,7 +372,6 @@ files = [
|
||||
{file = "pyinstaller-hooks-contrib-2023.10.tar.gz", hash = "sha256:4b4a998036abb713774cb26534ca06b7e6e09e4c628196017a10deb11a48747f"},
|
||||
{file = "pyinstaller_hooks_contrib-2023.10-py2.py3-none-any.whl", hash = "sha256:6dc1786a8f452941245d5bb85893e2a33632ebdcbc4c23eea41f2ee08281b0c0"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "python-dotenv"
|
||||
version = "1.0.0"
|
||||
@ -435,6 +452,18 @@ anyio = ">=3.4.0,<5"
|
||||
[package.extras]
|
||||
full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.0.1"
|
||||
description = "A lil' TOML parser"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
|
||||
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.66.1"
|
||||
@ -468,13 +497,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "uvicorn"
|
||||
version = "0.24.0.post1"
|
||||
version = "0.25.0"
|
||||
description = "The lightning-fast ASGI server."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "uvicorn-0.24.0.post1-py3-none-any.whl", hash = "sha256:7c84fea70c619d4a710153482c0d230929af7bcf76c7bfa6de151f0a3a80121e"},
|
||||
{file = "uvicorn-0.24.0.post1.tar.gz", hash = "sha256:09c8e5a79dc466bdf28dead50093957db184de356fcdc48697bad3bde4c2588e"},
|
||||
{file = "uvicorn-0.25.0-py3-none-any.whl", hash = "sha256:ce107f5d9bd02b4636001a77a4e74aab5e1e2b146868ebbad565237145af444c"},
|
||||
{file = "uvicorn-0.25.0.tar.gz", hash = "sha256:6dddbad1d7ee0f5140aba5ec138ddc9612c5109399903828b4874c9937f009c2"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
||||
79
backend/prompts/__init__.py
Normal file
79
backend/prompts/__init__.py
Normal file
@ -0,0 +1,79 @@
|
||||
from typing import List, NoReturn, Union
|
||||
|
||||
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionContentPartParam
|
||||
|
||||
from prompts.imported_code_prompts import IMPORTED_CODE_SYSTEM_PROMPTS
|
||||
from prompts.screenshot_system_prompts import SYSTEM_PROMPTS
|
||||
from prompts.types import Stack
|
||||
|
||||
|
||||
USER_PROMPT = """
|
||||
Generate code for a web page that looks exactly like this.
|
||||
"""
|
||||
|
||||
SVG_USER_PROMPT = """
|
||||
Generate code for a SVG that looks exactly like this.
|
||||
"""
|
||||
|
||||
|
||||
def assemble_imported_code_prompt(
|
||||
code: str, stack: Stack, result_image_data_url: Union[str, None] = None
|
||||
) -> List[ChatCompletionMessageParam]:
|
||||
system_content = IMPORTED_CODE_SYSTEM_PROMPTS[stack]
|
||||
|
||||
user_content = (
|
||||
"Here is the code of the app: " + code
|
||||
if stack != "svg"
|
||||
else "Here is the code of the SVG: " + code
|
||||
)
|
||||
return [
|
||||
{
|
||||
"role": "system",
|
||||
"content": system_content,
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": user_content,
|
||||
},
|
||||
]
|
||||
# TODO: Use result_image_data_url
|
||||
|
||||
|
||||
def assemble_prompt(
|
||||
image_data_url: str,
|
||||
stack: Stack,
|
||||
result_image_data_url: Union[str, None] = None,
|
||||
) -> List[ChatCompletionMessageParam]:
|
||||
system_content = SYSTEM_PROMPTS[stack]
|
||||
user_prompt = USER_PROMPT if stack != "svg" else SVG_USER_PROMPT
|
||||
|
||||
user_content: List[ChatCompletionContentPartParam] = [
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": image_data_url, "detail": "high"},
|
||||
},
|
||||
{
|
||||
"type": "text",
|
||||
"text": user_prompt,
|
||||
},
|
||||
]
|
||||
|
||||
# Include the result image if it exists
|
||||
if result_image_data_url:
|
||||
user_content.insert(
|
||||
1,
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": result_image_data_url, "detail": "high"},
|
||||
},
|
||||
)
|
||||
return [
|
||||
{
|
||||
"role": "system",
|
||||
"content": system_content,
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": user_content,
|
||||
},
|
||||
]
|
||||
@ -1,18 +1,11 @@
|
||||
from prompts import assemble_prompt
|
||||
from prompts.types import SystemPrompts
|
||||
|
||||
TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Tailwind developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using Tailwind, 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.
|
||||
IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Tailwind 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 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.
|
||||
- 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,
|
||||
@ -25,44 +18,11 @@ Return only the full code in <html></html> tags.
|
||||
Do not include markdown "```" or "```html" at the start or end.
|
||||
"""
|
||||
|
||||
BOOTSTRAP_SYSTEM_PROMPT = """
|
||||
You are an expert Bootstrap developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using Bootstrap, 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,
|
||||
|
||||
- Use this script to include Bootstrap: <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-T3c6CoIi6uLrA9TneNEoa7RxnatzjcDSCmG1MXxSR1GAsXEV/Dwwykc2MPK8M2HN" crossorigin="anonymous">
|
||||
- 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.
|
||||
"""
|
||||
|
||||
REACT_TAILWIND_SYSTEM_PROMPT = """
|
||||
IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert React/Tailwind developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using React and Tailwind CSS.
|
||||
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.
|
||||
- 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,
|
||||
@ -79,19 +39,28 @@ Return only the full code in <html></html> tags.
|
||||
Do not include markdown "```" or "```html" at the start or end.
|
||||
"""
|
||||
|
||||
IONIC_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Ionic/Tailwind developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using Ionic and Tailwind CSS.
|
||||
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).
|
||||
IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT = """
|
||||
You are an expert Bootstrap developer.
|
||||
|
||||
- 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.
|
||||
- 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,
|
||||
|
||||
- Use this script to include Bootstrap: <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-T3c6CoIi6uLrA9TneNEoa7RxnatzjcDSCmG1MXxSR1GAsXEV/Dwwykc2MPK8M2HN" crossorigin="anonymous">
|
||||
- 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_IONIC_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Ionic/Tailwind 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,
|
||||
@ -113,24 +82,55 @@ Return only the full code in <html></html> tags.
|
||||
Do not include markdown "```" or "```html" at the start or end.
|
||||
"""
|
||||
|
||||
IMPORTED_CODE_VUE_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Vue/Tailwind developer.
|
||||
|
||||
def test_prompts():
|
||||
tailwind_prompt = assemble_prompt(
|
||||
"image_data_url", "html_tailwind", "result_image_data_url"
|
||||
)
|
||||
assert tailwind_prompt[0]["content"] == TAILWIND_SYSTEM_PROMPT
|
||||
- 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.
|
||||
|
||||
react_tailwind_prompt = assemble_prompt(
|
||||
"image_data_url", "react_tailwind", "result_image_data_url"
|
||||
)
|
||||
assert react_tailwind_prompt[0]["content"] == REACT_TAILWIND_SYSTEM_PROMPT
|
||||
In terms of libraries,
|
||||
|
||||
bootstrap_prompt = assemble_prompt(
|
||||
"image_data_url", "bootstrap", "result_image_data_url"
|
||||
)
|
||||
assert bootstrap_prompt[0]["content"] == BOOTSTRAP_SYSTEM_PROMPT
|
||||
- Use these script to include Vue so that it can run on a standalone page:
|
||||
<script src="https://registry.npmmirror.com/vue/3.3.11/files/dist/vue.global.js"></script>
|
||||
- Use Vue using the global build like so:
|
||||
<div id="app">{{ message }}</div>
|
||||
<script>
|
||||
const { createApp, ref } = Vue
|
||||
createApp({
|
||||
setup() {
|
||||
const message = ref('Hello vue!')
|
||||
return {
|
||||
message
|
||||
}
|
||||
}
|
||||
}).mount('#app')
|
||||
</script>
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- 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>
|
||||
|
||||
ionic_tailwind = assemble_prompt(
|
||||
"image_data_url", "ionic_tailwind", "result_image_data_url"
|
||||
)
|
||||
assert ionic_tailwind[0]["content"] == IONIC_TAILWIND_SYSTEM_PROMPT
|
||||
Return only the full code in <html></html> tags.
|
||||
Do not include markdown "```" or "```html" at the start or end.
|
||||
The return result must only include the code."""
|
||||
|
||||
IMPORTED_CODE_SVG_SYSTEM_PROMPT = """
|
||||
You are an expert at building SVGs.
|
||||
|
||||
- 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.
|
||||
- You can use Google Fonts
|
||||
|
||||
Return only the full code in <svg></svg> tags.
|
||||
Do not include markdown "```" or "```svg" at the start or end.
|
||||
"""
|
||||
|
||||
IMPORTED_CODE_SYSTEM_PROMPTS = SystemPrompts(
|
||||
html_tailwind=IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT,
|
||||
react_tailwind=IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT,
|
||||
bootstrap=IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT,
|
||||
ionic_tailwind=IMPORTED_CODE_IONIC_TAILWIND_SYSTEM_PROMPT,
|
||||
vue_tailwind=IMPORTED_CODE_VUE_TAILWIND_SYSTEM_PROMPT,
|
||||
svg=IMPORTED_CODE_SVG_SYSTEM_PROMPT,
|
||||
)
|
||||
@ -1,4 +1,7 @@
|
||||
TAILWIND_SYSTEM_PROMPT = """
|
||||
from prompts.types import SystemPrompts
|
||||
|
||||
|
||||
HTML_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Tailwind developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using Tailwind, HTML and JS.
|
||||
@ -111,54 +114,72 @@ Return only the full code in <html></html> tags.
|
||||
Do not include markdown "```" or "```html" at the start or end.
|
||||
"""
|
||||
|
||||
USER_PROMPT = """
|
||||
Generate code for a web page that looks exactly like this.
|
||||
VUE_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Vue/Tailwind developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using Vue and Tailwind CSS.
|
||||
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.
|
||||
- Use Vue using the global build like so:
|
||||
|
||||
<div id="app">{{ message }}</div>
|
||||
<script>
|
||||
const { createApp, ref } = Vue
|
||||
createApp({
|
||||
setup() {
|
||||
const message = ref('Hello vue!')
|
||||
return {
|
||||
message
|
||||
}
|
||||
}
|
||||
}).mount('#app')
|
||||
</script>
|
||||
|
||||
In terms of libraries,
|
||||
|
||||
- Use these script to include Vue so that it can run on a standalone page:
|
||||
<script src="https://registry.npmmirror.com/vue/3.3.11/files/dist/vue.global.js"></script>
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- 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.
|
||||
The return result must only include the code.
|
||||
"""
|
||||
|
||||
|
||||
def assemble_prompt(
|
||||
image_data_url, generated_code_config: str, result_image_data_url=None
|
||||
):
|
||||
# Set the system prompt based on the output settings
|
||||
system_content = TAILWIND_SYSTEM_PROMPT
|
||||
if generated_code_config == "html_tailwind":
|
||||
system_content = TAILWIND_SYSTEM_PROMPT
|
||||
elif generated_code_config == "react_tailwind":
|
||||
system_content = REACT_TAILWIND_SYSTEM_PROMPT
|
||||
elif generated_code_config == "bootstrap":
|
||||
system_content = BOOTSTRAP_SYSTEM_PROMPT
|
||||
elif generated_code_config == "ionic_tailwind":
|
||||
system_content = IONIC_TAILWIND_SYSTEM_PROMPT
|
||||
else:
|
||||
raise Exception("Code config is not one of available options")
|
||||
SVG_SYSTEM_PROMPT = """
|
||||
You are an expert at building SVGs.
|
||||
You take screenshots of a reference web page from the user, and then build a SVG that looks exactly like the screenshot.
|
||||
|
||||
user_content = [
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": image_data_url, "detail": "high"},
|
||||
},
|
||||
{
|
||||
"type": "text",
|
||||
"text": USER_PROMPT,
|
||||
},
|
||||
]
|
||||
- Make sure the SVG 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.
|
||||
- You can use Google Fonts
|
||||
|
||||
# Include the result image if it exists
|
||||
if result_image_data_url:
|
||||
user_content.insert(
|
||||
1,
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": result_image_data_url, "detail": "high"},
|
||||
},
|
||||
)
|
||||
return [
|
||||
{
|
||||
"role": "system",
|
||||
"content": system_content,
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": user_content,
|
||||
},
|
||||
]
|
||||
Return only the full code in <svg></svg> tags.
|
||||
Do not include markdown "```" or "```svg" at the start or end.
|
||||
"""
|
||||
|
||||
|
||||
SYSTEM_PROMPTS = SystemPrompts(
|
||||
html_tailwind=HTML_TAILWIND_SYSTEM_PROMPT,
|
||||
react_tailwind=REACT_TAILWIND_SYSTEM_PROMPT,
|
||||
bootstrap=BOOTSTRAP_SYSTEM_PROMPT,
|
||||
ionic_tailwind=IONIC_TAILWIND_SYSTEM_PROMPT,
|
||||
vue_tailwind=VUE_TAILWIND_SYSTEM_PROMPT,
|
||||
svg=SVG_SYSTEM_PROMPT,
|
||||
)
|
||||
397
backend/prompts/test_prompts.py
Normal file
397
backend/prompts/test_prompts.py
Normal file
@ -0,0 +1,397 @@
|
||||
from prompts import assemble_imported_code_prompt, assemble_prompt
|
||||
|
||||
TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Tailwind developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using Tailwind, 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,
|
||||
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- 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 = """
|
||||
You are an expert Bootstrap developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using Bootstrap, 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,
|
||||
|
||||
- Use this script to include Bootstrap: <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-T3c6CoIi6uLrA9TneNEoa7RxnatzjcDSCmG1MXxSR1GAsXEV/Dwwykc2MPK8M2HN" crossorigin="anonymous">
|
||||
- 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.
|
||||
"""
|
||||
|
||||
REACT_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert React/Tailwind developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using React and Tailwind CSS.
|
||||
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,
|
||||
|
||||
- Use these script to include React so that it can run on a standalone page:
|
||||
<script src="https://unpkg.com/react/umd/react.development.js"></script>
|
||||
<script src="https://unpkg.com/react-dom/umd/react-dom.development.js"></script>
|
||||
<script src="https://unpkg.com/@babel/standalone/babel.js"></script>
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- 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.
|
||||
"""
|
||||
|
||||
IONIC_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Ionic/Tailwind developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using Ionic and Tailwind CSS.
|
||||
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,
|
||||
|
||||
- Use these script to include Ionic so that it can run on a standalone page:
|
||||
<script type="module" src="https://cdn.jsdelivr.net/npm/@ionic/core/dist/ionic/ionic.esm.js"></script>
|
||||
<script nomodule src="https://cdn.jsdelivr.net/npm/@ionic/core/dist/ionic/ionic.js"></script>
|
||||
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@ionic/core/css/ionic.bundle.css" />
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- You can use Google Fonts
|
||||
- ionicons for icons, add the following <script > tags near the end of the page, right before the closing </body> tag:
|
||||
<script type="module">
|
||||
import ionicons from 'https://cdn.jsdelivr.net/npm/ionicons/+esm'
|
||||
</script>
|
||||
<script nomodule src="https://cdn.jsdelivr.net/npm/ionicons/dist/esm/ionicons.min.js"></script>
|
||||
<link href="https://cdn.jsdelivr.net/npm/ionicons/dist/collection/components/icon/icon.min.css" rel="stylesheet">
|
||||
|
||||
Return only the full code in <html></html> tags.
|
||||
Do not include markdown "```" or "```html" at the start or end.
|
||||
"""
|
||||
|
||||
VUE_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Vue/Tailwind developer
|
||||
You take screenshots of a reference web page from the user, and then build single page apps
|
||||
using Vue and Tailwind CSS.
|
||||
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.
|
||||
- Use Vue using the global build like so:
|
||||
|
||||
<div id="app">{{ message }}</div>
|
||||
<script>
|
||||
const { createApp, ref } = Vue
|
||||
createApp({
|
||||
setup() {
|
||||
const message = ref('Hello vue!')
|
||||
return {
|
||||
message
|
||||
}
|
||||
}
|
||||
}).mount('#app')
|
||||
</script>
|
||||
|
||||
In terms of libraries,
|
||||
|
||||
- Use these script to include Vue so that it can run on a standalone page:
|
||||
<script src="https://registry.npmmirror.com/vue/3.3.11/files/dist/vue.global.js"></script>
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- 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.
|
||||
The return result must only include the code.
|
||||
"""
|
||||
|
||||
SVG_SYSTEM_PROMPT = """
|
||||
You are an expert at building SVGs.
|
||||
You take screenshots of a reference web page from the user, and then build a SVG that looks exactly like the screenshot.
|
||||
|
||||
- Make sure the SVG 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.
|
||||
- You can use Google Fonts
|
||||
|
||||
Return only the full code in <svg></svg> tags.
|
||||
Do not include markdown "```" or "```svg" at the start or end.
|
||||
"""
|
||||
|
||||
IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Tailwind 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,
|
||||
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- 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 = """
|
||||
You are an expert React/Tailwind 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,
|
||||
|
||||
- Use these script to include React so that it can run on a standalone page:
|
||||
<script src="https://unpkg.com/react/umd/react.development.js"></script>
|
||||
<script src="https://unpkg.com/react-dom/umd/react-dom.development.js"></script>
|
||||
<script src="https://unpkg.com/@babel/standalone/babel.js"></script>
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- 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_BOOTSTRAP_SYSTEM_PROMPT = """
|
||||
You are an expert Bootstrap 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,
|
||||
|
||||
- Use this script to include Bootstrap: <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-T3c6CoIi6uLrA9TneNEoa7RxnatzjcDSCmG1MXxSR1GAsXEV/Dwwykc2MPK8M2HN" crossorigin="anonymous">
|
||||
- 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_IONIC_TAILWIND_SYSTEM_PROMPT = """
|
||||
You are an expert Ionic/Tailwind 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,
|
||||
|
||||
- Use these script to include Ionic so that it can run on a standalone page:
|
||||
<script type="module" src="https://cdn.jsdelivr.net/npm/@ionic/core/dist/ionic/ionic.esm.js"></script>
|
||||
<script nomodule src="https://cdn.jsdelivr.net/npm/@ionic/core/dist/ionic/ionic.js"></script>
|
||||
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@ionic/core/css/ionic.bundle.css" />
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- You can use Google Fonts
|
||||
- ionicons for icons, add the following <script > tags near the end of the page, right before the closing </body> tag:
|
||||
<script type="module">
|
||||
import ionicons from 'https://cdn.jsdelivr.net/npm/ionicons/+esm'
|
||||
</script>
|
||||
<script nomodule src="https://cdn.jsdelivr.net/npm/ionicons/dist/esm/ionicons.min.js"></script>
|
||||
<link href="https://cdn.jsdelivr.net/npm/ionicons/dist/collection/components/icon/icon.min.css" rel="stylesheet">
|
||||
|
||||
Return only the full code in <html></html> tags.
|
||||
Do not include markdown "```" or "```html" at the start or end.
|
||||
"""
|
||||
|
||||
|
||||
IMPORTED_CODE_VUE_TAILWIND_PROMPT = """
|
||||
You are an expert Vue/Tailwind 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,
|
||||
|
||||
- Use these script to include Vue so that it can run on a standalone page:
|
||||
<script src="https://registry.npmmirror.com/vue/3.3.11/files/dist/vue.global.js"></script>
|
||||
- Use Vue using the global build like so:
|
||||
<div id="app">{{ message }}</div>
|
||||
<script>
|
||||
const { createApp, ref } = Vue
|
||||
createApp({
|
||||
setup() {
|
||||
const message = ref('Hello vue!')
|
||||
return {
|
||||
message
|
||||
}
|
||||
}
|
||||
}).mount('#app')
|
||||
</script>
|
||||
- Use this script to include Tailwind: <script src="https://cdn.tailwindcss.com"></script>
|
||||
- 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.
|
||||
The return result must only include the code."""
|
||||
|
||||
IMPORTED_CODE_SVG_SYSTEM_PROMPT = """
|
||||
You are an expert at building SVGs.
|
||||
|
||||
- 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.
|
||||
- You can use Google Fonts
|
||||
|
||||
Return only the full code in <svg></svg> tags.
|
||||
Do not include markdown "```" or "```svg" at the start or end.
|
||||
"""
|
||||
|
||||
USER_PROMPT = """
|
||||
Generate code for a web page that looks exactly like this.
|
||||
"""
|
||||
|
||||
SVG_USER_PROMPT = """
|
||||
Generate code for a SVG that looks exactly like this.
|
||||
"""
|
||||
|
||||
|
||||
def test_prompts():
|
||||
tailwind_prompt = assemble_prompt(
|
||||
"image_data_url", "html_tailwind", "result_image_data_url"
|
||||
)
|
||||
assert tailwind_prompt[0]["content"] == TAILWIND_SYSTEM_PROMPT
|
||||
assert tailwind_prompt[1]["content"][2]["text"] == USER_PROMPT # type: ignore
|
||||
|
||||
react_tailwind_prompt = assemble_prompt(
|
||||
"image_data_url", "react_tailwind", "result_image_data_url"
|
||||
)
|
||||
assert react_tailwind_prompt[0]["content"] == REACT_TAILWIND_SYSTEM_PROMPT
|
||||
assert react_tailwind_prompt[1]["content"][2]["text"] == USER_PROMPT # type: ignore
|
||||
|
||||
bootstrap_prompt = assemble_prompt(
|
||||
"image_data_url", "bootstrap", "result_image_data_url"
|
||||
)
|
||||
assert bootstrap_prompt[0]["content"] == BOOTSTRAP_SYSTEM_PROMPT
|
||||
assert bootstrap_prompt[1]["content"][2]["text"] == USER_PROMPT # type: ignore
|
||||
|
||||
ionic_tailwind = assemble_prompt(
|
||||
"image_data_url", "ionic_tailwind", "result_image_data_url"
|
||||
)
|
||||
assert ionic_tailwind[0]["content"] == IONIC_TAILWIND_SYSTEM_PROMPT
|
||||
assert ionic_tailwind[1]["content"][2]["text"] == USER_PROMPT # type: ignore
|
||||
|
||||
vue_tailwind = assemble_prompt(
|
||||
"image_data_url", "vue_tailwind", "result_image_data_url"
|
||||
)
|
||||
assert vue_tailwind[0]["content"] == VUE_TAILWIND_SYSTEM_PROMPT
|
||||
assert vue_tailwind[1]["content"][2]["text"] == USER_PROMPT # type: ignore
|
||||
|
||||
svg_prompt = assemble_prompt("image_data_url", "svg", "result_image_data_url")
|
||||
assert svg_prompt[0]["content"] == SVG_SYSTEM_PROMPT
|
||||
assert svg_prompt[1]["content"][2]["text"] == SVG_USER_PROMPT # type: ignore
|
||||
|
||||
|
||||
def test_imported_code_prompts():
|
||||
tailwind_prompt = assemble_imported_code_prompt(
|
||||
"code", "html_tailwind", "result_image_data_url"
|
||||
)
|
||||
expected_tailwind_prompt = [
|
||||
{"role": "system", "content": IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT},
|
||||
{"role": "user", "content": "Here is the code of the app: code"},
|
||||
]
|
||||
assert tailwind_prompt == expected_tailwind_prompt
|
||||
|
||||
react_tailwind_prompt = assemble_imported_code_prompt(
|
||||
"code", "react_tailwind", "result_image_data_url"
|
||||
)
|
||||
expected_react_tailwind_prompt = [
|
||||
{"role": "system", "content": IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT},
|
||||
{"role": "user", "content": "Here is the code of the app: code"},
|
||||
]
|
||||
assert react_tailwind_prompt == expected_react_tailwind_prompt
|
||||
|
||||
bootstrap_prompt = assemble_imported_code_prompt(
|
||||
"code", "bootstrap", "result_image_data_url"
|
||||
)
|
||||
expected_bootstrap_prompt = [
|
||||
{"role": "system", "content": IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT},
|
||||
{"role": "user", "content": "Here is the code of the app: code"},
|
||||
]
|
||||
assert bootstrap_prompt == expected_bootstrap_prompt
|
||||
|
||||
ionic_tailwind = assemble_imported_code_prompt(
|
||||
"code", "ionic_tailwind", "result_image_data_url"
|
||||
)
|
||||
expected_ionic_tailwind = [
|
||||
{"role": "system", "content": IMPORTED_CODE_IONIC_TAILWIND_SYSTEM_PROMPT},
|
||||
{"role": "user", "content": "Here is the code of the app: code"},
|
||||
]
|
||||
assert ionic_tailwind == expected_ionic_tailwind
|
||||
|
||||
vue_tailwind = assemble_imported_code_prompt(
|
||||
"code", "vue_tailwind", "result_image_data_url"
|
||||
)
|
||||
expected_vue_tailwind = [
|
||||
{"role": "system", "content": IMPORTED_CODE_VUE_TAILWIND_PROMPT},
|
||||
{"role": "user", "content": "Here is the code of the app: code"},
|
||||
]
|
||||
assert vue_tailwind == expected_vue_tailwind
|
||||
|
||||
svg = assemble_imported_code_prompt("code", "svg", "result_image_data_url")
|
||||
expected_svg = [
|
||||
{"role": "system", "content": IMPORTED_CODE_SVG_SYSTEM_PROMPT},
|
||||
{"role": "user", "content": "Here is the code of the SVG: code"},
|
||||
]
|
||||
assert svg == expected_svg
|
||||
20
backend/prompts/types.py
Normal file
20
backend/prompts/types.py
Normal file
@ -0,0 +1,20 @@
|
||||
from typing import Literal, TypedDict
|
||||
|
||||
|
||||
class SystemPrompts(TypedDict):
|
||||
html_tailwind: str
|
||||
react_tailwind: str
|
||||
bootstrap: str
|
||||
ionic_tailwind: str
|
||||
vue_tailwind: str
|
||||
svg: str
|
||||
|
||||
|
||||
Stack = Literal[
|
||||
"html_tailwind",
|
||||
"react_tailwind",
|
||||
"bootstrap",
|
||||
"ionic_tailwind",
|
||||
"vue_tailwind",
|
||||
"svg",
|
||||
]
|
||||
@ -8,7 +8,7 @@ license = "MIT"
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.10, <3.13"
|
||||
fastapi = "^0.95.0"
|
||||
uvicorn = "^0.24.0.post1"
|
||||
uvicorn = "^0.25.0"
|
||||
websockets = "^12.0"
|
||||
openai = "^1.2.4"
|
||||
python-dotenv = "^1.0.0"
|
||||
@ -16,6 +16,8 @@ beautifulsoup4 = "^4.12.2"
|
||||
httpx = "^0.25.1"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pytest = "^7.4.3"
|
||||
pyright = "^1.1.345"
|
||||
pyinstaller = "^6.2.0"
|
||||
|
||||
[build-system]
|
||||
|
||||
3
backend/pyrightconfig.json
Normal file
3
backend/pyrightconfig.json
Normal file
@ -0,0 +1,3 @@
|
||||
{
|
||||
"exclude": ["image_generation.py"]
|
||||
}
|
||||
46
backend/routes/evals.py
Normal file
46
backend/routes/evals.py
Normal file
@ -0,0 +1,46 @@
|
||||
import os
|
||||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
from evals.utils import image_to_data_url
|
||||
from evals.config import EVALS_DIR
|
||||
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
class Eval(BaseModel):
|
||||
input: str
|
||||
output: str
|
||||
|
||||
|
||||
@router.get("/evals")
|
||||
async def get_evals():
|
||||
# Get all evals from EVALS_DIR
|
||||
input_dir = EVALS_DIR + "/inputs"
|
||||
output_dir = EVALS_DIR + "/outputs"
|
||||
|
||||
evals: list[Eval] = []
|
||||
for file in os.listdir(input_dir):
|
||||
if file.endswith(".png"):
|
||||
input_file_path = os.path.join(input_dir, file)
|
||||
input_file = await image_to_data_url(input_file_path)
|
||||
|
||||
# Construct the corresponding output file name
|
||||
output_file_name = file.replace(".png", ".html")
|
||||
output_file_path = os.path.join(output_dir, output_file_name)
|
||||
|
||||
# Check if the output file exists
|
||||
if os.path.exists(output_file_path):
|
||||
with open(output_file_path, "r") as f:
|
||||
output_file_data = f.read()
|
||||
else:
|
||||
output_file_data = "Output file not found."
|
||||
|
||||
evals.append(
|
||||
Eval(
|
||||
input=input_file,
|
||||
output=output_file_data,
|
||||
)
|
||||
)
|
||||
|
||||
return evals
|
||||
270
backend/routes/generate_code.py
Normal file
270
backend/routes/generate_code.py
Normal file
@ -0,0 +1,270 @@
|
||||
import os
|
||||
import traceback
|
||||
from fastapi import APIRouter, WebSocket
|
||||
import openai
|
||||
from config import IS_PROD, SHOULD_MOCK_AI_RESPONSE
|
||||
from llm import stream_openai_response
|
||||
from openai.types.chat import ChatCompletionMessageParam
|
||||
from mock_llm import mock_completion
|
||||
from typing import Dict, List, cast, get_args
|
||||
from image_generation import create_alt_url_mapping, generate_images
|
||||
from prompts import assemble_imported_code_prompt, assemble_prompt
|
||||
from access_token import validate_access_token
|
||||
from datetime import datetime
|
||||
import json
|
||||
from prompts.types import Stack
|
||||
|
||||
from utils import pprint_prompt # type: ignore
|
||||
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
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}))
|
||||
|
||||
|
||||
@router.websocket("/generate-code")
|
||||
async def stream_code(websocket: WebSocket):
|
||||
await websocket.accept()
|
||||
|
||||
print("Incoming websocket connection...")
|
||||
|
||||
async def throw_error(
|
||||
message: str,
|
||||
):
|
||||
await websocket.send_json({"type": "error", "value": message})
|
||||
await websocket.close()
|
||||
|
||||
# TODO: Are the values always strings?
|
||||
params: Dict[str, str] = await websocket.receive_json()
|
||||
|
||||
print("Received params")
|
||||
|
||||
# Read the code config settings from the request. Fall back to default if not provided.
|
||||
generated_code_config = ""
|
||||
if "generatedCodeConfig" in params and params["generatedCodeConfig"]:
|
||||
generated_code_config = params["generatedCodeConfig"]
|
||||
print(f"Generating {generated_code_config} code")
|
||||
|
||||
# Get the OpenAI API key from the request. Fall back to environment variable if not provided.
|
||||
# If neither is provided, we throw an error.
|
||||
openai_api_key = None
|
||||
if "accessCode" in params and params["accessCode"]:
|
||||
print("Access code - using platform API key")
|
||||
res = await validate_access_token(params["accessCode"])
|
||||
if res["success"]:
|
||||
openai_api_key = os.environ.get("PLATFORM_OPENAI_API_KEY")
|
||||
else:
|
||||
await websocket.send_json(
|
||||
{
|
||||
"type": "error",
|
||||
"value": res["failure_reason"],
|
||||
}
|
||||
)
|
||||
return
|
||||
else:
|
||||
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:
|
||||
print("OpenAI API key not found")
|
||||
await websocket.send_json(
|
||||
{
|
||||
"type": "error",
|
||||
"value": "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
|
||||
|
||||
# Validate the generated code config
|
||||
if not generated_code_config in get_args(Stack):
|
||||
await throw_error(f"Invalid generated code config: {generated_code_config}")
|
||||
return
|
||||
# Cast the variable to the Stack type
|
||||
valid_stack = cast(Stack, generated_code_config)
|
||||
|
||||
# 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
|
||||
if not os.environ.get("IS_PROD"):
|
||||
if "openAiBaseURL" in params and params["openAiBaseURL"]:
|
||||
openai_base_url = params["openAiBaseURL"]
|
||||
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:
|
||||
print("Using official OpenAI URL")
|
||||
|
||||
# Get the image generation flag from the request. Fall back to True if not provided.
|
||||
should_generate_images = (
|
||||
params["isImageGenerationEnabled"]
|
||||
if "isImageGenerationEnabled" in params
|
||||
else True
|
||||
)
|
||||
|
||||
print("generating code...")
|
||||
await websocket.send_json({"type": "status", "value": "Generating code..."})
|
||||
|
||||
async def process_chunk(content: str):
|
||||
await websocket.send_json({"type": "chunk", "value": content})
|
||||
|
||||
# Image cache for updates so that we don't have to regenerate images
|
||||
image_cache: Dict[str, str] = {}
|
||||
|
||||
# If this generation started off with imported code, we need to assemble the prompt differently
|
||||
if params.get("isImportedFromCode") and params["isImportedFromCode"]:
|
||||
original_imported_code = params["history"][0]
|
||||
prompt_messages = assemble_imported_code_prompt(
|
||||
original_imported_code, valid_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
|
||||
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])
|
||||
|
||||
pprint_prompt(prompt_messages)
|
||||
|
||||
if SHOULD_MOCK_AI_RESPONSE:
|
||||
completion = await mock_completion(process_chunk)
|
||||
else:
|
||||
try:
|
||||
completion = await stream_openai_response(
|
||||
prompt_messages,
|
||||
api_key=openai_api_key,
|
||||
base_url=openai_base_url,
|
||||
callback=lambda x: process_chunk(x),
|
||||
)
|
||||
except openai.AuthenticationError as e:
|
||||
print("[GENERATE_CODE] Authentication failed", e)
|
||||
error_message = (
|
||||
"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."
|
||||
if IS_PROD
|
||||
else ""
|
||||
)
|
||||
)
|
||||
return await throw_error(error_message)
|
||||
except openai.NotFoundError as e:
|
||||
print("[GENERATE_CODE] Model not found", e)
|
||||
error_message = (
|
||||
e.message
|
||||
+ ". 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."
|
||||
if IS_PROD
|
||||
else ""
|
||||
)
|
||||
)
|
||||
return await throw_error(error_message)
|
||||
except openai.RateLimitError as e:
|
||||
print("[GENERATE_CODE] Rate limit exceeded", e)
|
||||
error_message = (
|
||||
"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."
|
||||
if IS_PROD
|
||||
else ""
|
||||
)
|
||||
)
|
||||
return await throw_error(error_message)
|
||||
|
||||
# Write the messages dict into a log so that we can debug later
|
||||
write_logs(prompt_messages, completion)
|
||||
|
||||
try:
|
||||
if should_generate_images:
|
||||
await websocket.send_json(
|
||||
{"type": "status", "value": "Generating images..."}
|
||||
)
|
||||
updated_html = await generate_images(
|
||||
completion,
|
||||
api_key=openai_api_key,
|
||||
base_url=openai_base_url,
|
||||
image_cache=image_cache,
|
||||
)
|
||||
else:
|
||||
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."}
|
||||
)
|
||||
|
||||
await websocket.close()
|
||||
12
backend/routes/home.py
Normal file
12
backend/routes/home.py
Normal file
@ -0,0 +1,12 @@
|
||||
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>"
|
||||
)
|
||||
@ -11,7 +11,9 @@ def bytes_to_data_url(image_bytes: bytes, mime_type: str) -> str:
|
||||
return f"data:{mime_type};base64,{base64_image}"
|
||||
|
||||
|
||||
async def capture_screenshot(target_url, api_key, device="desktop") -> bytes:
|
||||
async def capture_screenshot(
|
||||
target_url: str, api_key: str, device: str = "desktop"
|
||||
) -> bytes:
|
||||
api_base_url = "https://api.screenshotone.com/take"
|
||||
|
||||
params = {
|
||||
|
||||
41
backend/run_evals.py
Normal file
41
backend/run_evals.py
Normal file
@ -0,0 +1,41 @@
|
||||
# Load environment variables first
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
import os
|
||||
from typing import Any, Coroutine
|
||||
import asyncio
|
||||
|
||||
from evals.config import EVALS_DIR
|
||||
from evals.core import generate_code_core
|
||||
from evals.utils import image_to_data_url
|
||||
|
||||
|
||||
async def main():
|
||||
INPUT_DIR = EVALS_DIR + "/inputs"
|
||||
OUTPUT_DIR = EVALS_DIR + "/outputs"
|
||||
|
||||
# Get all the files in the directory (only grab pngs)
|
||||
evals = [f for f in os.listdir(INPUT_DIR) if f.endswith(".png")]
|
||||
|
||||
tasks: list[Coroutine[Any, Any, str]] = []
|
||||
for filename in evals:
|
||||
filepath = os.path.join(INPUT_DIR, filename)
|
||||
data_url = await image_to_data_url(filepath)
|
||||
task = generate_code_core(data_url, "vue_tailwind")
|
||||
tasks.append(task)
|
||||
|
||||
results = await asyncio.gather(*tasks)
|
||||
|
||||
os.makedirs(OUTPUT_DIR, exist_ok=True)
|
||||
|
||||
for filename, content in zip(evals, results):
|
||||
# File name is derived from the original filename in evals
|
||||
output_filename = f"{os.path.splitext(filename)[0]}.html"
|
||||
output_filepath = os.path.join(OUTPUT_DIR, output_filename)
|
||||
with open(output_filepath, "w") as file:
|
||||
file.write(content)
|
||||
|
||||
|
||||
asyncio.run(main())
|
||||
4
backend/start.py
Normal file
4
backend/start.py
Normal file
@ -0,0 +1,4 @@
|
||||
import uvicorn
|
||||
|
||||
if __name__ == "__main__":
|
||||
uvicorn.run("main:app", port=7001, reload=True)
|
||||
@ -1,28 +1,30 @@
|
||||
import copy
|
||||
import json
|
||||
from typing import List
|
||||
from openai.types.chat import ChatCompletionMessageParam
|
||||
|
||||
|
||||
def pprint_prompt(prompt_messages):
|
||||
def pprint_prompt(prompt_messages: List[ChatCompletionMessageParam]):
|
||||
print(json.dumps(truncate_data_strings(prompt_messages), indent=4))
|
||||
|
||||
|
||||
def truncate_data_strings(data):
|
||||
def truncate_data_strings(data: List[ChatCompletionMessageParam]): # type: ignore
|
||||
# Deep clone the data to avoid modifying the original object
|
||||
cloned_data = copy.deepcopy(data)
|
||||
|
||||
if isinstance(cloned_data, dict):
|
||||
for key, value in cloned_data.items():
|
||||
for key, value in cloned_data.items(): # type: ignore
|
||||
# Recursively call the function if the value is a dictionary or a list
|
||||
if isinstance(value, (dict, list)):
|
||||
cloned_data[key] = truncate_data_strings(value)
|
||||
cloned_data[key] = truncate_data_strings(value) # type: ignore
|
||||
# Truncate the string if it it's long and add ellipsis and length
|
||||
elif isinstance(value, str):
|
||||
cloned_data[key] = value[:40]
|
||||
cloned_data[key] = value[:40] # type: ignore
|
||||
if len(value) > 40:
|
||||
cloned_data[key] += "..." + f" ({len(value)} chars)"
|
||||
cloned_data[key] += "..." + f" ({len(value)} chars)" # type: ignore
|
||||
|
||||
elif isinstance(cloned_data, list):
|
||||
elif isinstance(cloned_data, list): # type: ignore
|
||||
# Process each item in the list
|
||||
cloned_data = [truncate_data_strings(item) for item in cloned_data]
|
||||
cloned_data = [truncate_data_strings(item) for item in cloned_data] # type: ignore
|
||||
|
||||
return cloned_data
|
||||
return cloned_data # type: ignore
|
||||
|
||||
5
design-docs.md
Normal file
5
design-docs.md
Normal file
@ -0,0 +1,5 @@
|
||||
## Version History
|
||||
|
||||
Version history is stored as a tree on the client-side.
|
||||
|
||||

|
||||
@ -17,6 +17,7 @@
|
||||
"@radix-ui/react-accordion": "^1.1.2",
|
||||
"@radix-ui/react-alert-dialog": "^1.0.5",
|
||||
"@radix-ui/react-checkbox": "^1.0.4",
|
||||
"@radix-ui/react-collapsible": "^1.0.3",
|
||||
"@radix-ui/react-dialog": "^1.0.5",
|
||||
"@radix-ui/react-hover-card": "^1.0.7",
|
||||
"@radix-ui/react-icons": "^1.3.0",
|
||||
@ -40,6 +41,7 @@
|
||||
"react-dropzone": "^14.2.3",
|
||||
"react-hot-toast": "^2.4.1",
|
||||
"react-icons": "^4.12.0",
|
||||
"react-router-dom": "^6.20.1",
|
||||
"tailwind-merge": "^2.0.0",
|
||||
"tailwindcss-animate": "^1.0.7",
|
||||
"thememirror": "^2.0.1",
|
||||
|
||||
@ -2,7 +2,7 @@ import { useEffect, useRef, useState } from "react";
|
||||
import ImageUpload from "./components/ImageUpload";
|
||||
import CodePreview from "./components/CodePreview";
|
||||
import Preview from "./components/Preview";
|
||||
import { CodeGenerationParams, generateCode } from "./generateCode";
|
||||
import { generateCode } from "./generateCode";
|
||||
import Spinner from "./components/Spinner";
|
||||
import classNames from "classnames";
|
||||
import {
|
||||
@ -18,7 +18,7 @@ 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 { Settings, EditorTheme, AppState, GeneratedCodeConfig } from "./types";
|
||||
import { AppState, CodeGenerationParams, EditorTheme, Settings } from "./types";
|
||||
import { IS_RUNNING_ON_CLOUD } from "./config";
|
||||
import { PicoBadge } from "./components/PicoBadge";
|
||||
import { OnboardingNote } from "./components/OnboardingNote";
|
||||
@ -33,6 +33,8 @@ 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 ImportCodeSection from "./components/ImportCodeSection";
|
||||
import { Stack } from "./lib/stacks";
|
||||
|
||||
const IS_OPENAI_DOWN = false;
|
||||
|
||||
@ -43,6 +45,7 @@ function App() {
|
||||
const [referenceImages, setReferenceImages] = useState<string[]>([]);
|
||||
const [executionConsole, setExecutionConsole] = useState<string[]>([]);
|
||||
const [updateInstruction, setUpdateInstruction] = useState("");
|
||||
const [isImportedFromCode, setIsImportedFromCode] = useState<boolean>(false);
|
||||
|
||||
// Settings
|
||||
const [settings, setSettings] = usePersistedState<Settings>(
|
||||
@ -52,7 +55,7 @@ function App() {
|
||||
screenshotOneApiKey: null,
|
||||
isImageGenerationEnabled: true,
|
||||
editorTheme: EditorTheme.COBALT,
|
||||
generatedCodeConfig: GeneratedCodeConfig.HTML_TAILWIND,
|
||||
generatedCodeConfig: Stack.HTML_TAILWIND,
|
||||
// Only relevant for hosted version
|
||||
isTermOfServiceAccepted: false,
|
||||
accessCode: null,
|
||||
@ -77,7 +80,7 @@ function App() {
|
||||
if (!settings.generatedCodeConfig) {
|
||||
setSettings((prev) => ({
|
||||
...prev,
|
||||
generatedCodeConfig: GeneratedCodeConfig.HTML_TAILWIND,
|
||||
generatedCodeConfig: Stack.HTML_TAILWIND,
|
||||
}));
|
||||
}
|
||||
}, [settings.generatedCodeConfig, setSettings]);
|
||||
@ -117,13 +120,28 @@ function App() {
|
||||
setGeneratedCode("");
|
||||
setReferenceImages([]);
|
||||
setExecutionConsole([]);
|
||||
setUpdateInstruction("");
|
||||
setIsImportedFromCode(false);
|
||||
setAppHistory([]);
|
||||
setCurrentVersion(null);
|
||||
setShouldIncludeResultImage(false);
|
||||
};
|
||||
|
||||
const stop = () => {
|
||||
const cancelCodeGeneration = () => {
|
||||
wsRef.current?.close?.(USER_CLOSE_WEB_SOCKET_CODE);
|
||||
// make sure stop can correct the state even if the websocket is already closed
|
||||
cancelCodeGenerationAndReset();
|
||||
};
|
||||
|
||||
const cancelCodeGenerationAndReset = () => {
|
||||
// When this is the first version, reset the entire app state
|
||||
if (currentVersion === null) {
|
||||
reset();
|
||||
} else {
|
||||
// Otherwise, revert to the last version
|
||||
setGeneratedCode(appHistory[currentVersion].code);
|
||||
setAppState(AppState.CODE_READY);
|
||||
}
|
||||
};
|
||||
|
||||
function doGenerateCode(
|
||||
@ -139,7 +157,9 @@ function App() {
|
||||
generateCode(
|
||||
wsRef,
|
||||
updatedParams,
|
||||
// On change
|
||||
(token) => setGeneratedCode((prev) => prev + token),
|
||||
// On set code
|
||||
(code) => {
|
||||
setGeneratedCode(code);
|
||||
if (params.generationType === "create") {
|
||||
@ -178,7 +198,13 @@ function App() {
|
||||
});
|
||||
}
|
||||
},
|
||||
// On status update
|
||||
(line) => setExecutionConsole((prev) => [...prev, line]),
|
||||
// On cancel
|
||||
() => {
|
||||
cancelCodeGenerationAndReset();
|
||||
},
|
||||
// On complete
|
||||
() => {
|
||||
setAppState(AppState.CODE_READY);
|
||||
}
|
||||
@ -211,10 +237,17 @@ function App() {
|
||||
return;
|
||||
}
|
||||
|
||||
const updatedHistory = [
|
||||
...extractHistoryTree(appHistory, currentVersion),
|
||||
updateInstruction,
|
||||
];
|
||||
let historyTree;
|
||||
try {
|
||||
historyTree = extractHistoryTree(appHistory, currentVersion);
|
||||
} catch {
|
||||
toast.error(
|
||||
"Version history is invalid. This shouldn't happen. Please contact support or open a Github issue."
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
const updatedHistory = [...historyTree, updateInstruction];
|
||||
|
||||
if (shouldIncludeResultImage) {
|
||||
const resultImage = await takeScreenshot();
|
||||
@ -224,6 +257,7 @@ function App() {
|
||||
image: referenceImages[0],
|
||||
resultImage: resultImage,
|
||||
history: updatedHistory,
|
||||
isImportedFromCode,
|
||||
},
|
||||
currentVersion
|
||||
);
|
||||
@ -233,6 +267,7 @@ function App() {
|
||||
generationType: "update",
|
||||
image: referenceImages[0],
|
||||
history: updatedHistory,
|
||||
isImportedFromCode,
|
||||
},
|
||||
currentVersion
|
||||
);
|
||||
@ -249,6 +284,32 @@ function App() {
|
||||
}));
|
||||
};
|
||||
|
||||
function setStack(stack: Stack) {
|
||||
setSettings((prev) => ({
|
||||
...prev,
|
||||
generatedCodeConfig: stack,
|
||||
}));
|
||||
}
|
||||
|
||||
function importFromCode(code: string, stack: Stack) {
|
||||
setIsImportedFromCode(true);
|
||||
|
||||
// Set up this project
|
||||
setGeneratedCode(code);
|
||||
setStack(stack);
|
||||
setAppHistory([
|
||||
{
|
||||
type: "code_create",
|
||||
parentIndex: null,
|
||||
code,
|
||||
inputs: { code },
|
||||
},
|
||||
]);
|
||||
setCurrentVersion(0);
|
||||
|
||||
setAppState(AppState.CODE_READY);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="mt-2 dark:bg-black dark:text-white">
|
||||
{IS_RUNNING_ON_CLOUD && <PicoBadge settings={settings} />}
|
||||
@ -266,13 +327,8 @@ function App() {
|
||||
</div>
|
||||
|
||||
<OutputSettingsSection
|
||||
generatedCodeConfig={settings.generatedCodeConfig}
|
||||
setGeneratedCodeConfig={(config: GeneratedCodeConfig) =>
|
||||
setSettings((prev) => ({
|
||||
...prev,
|
||||
generatedCodeConfig: config,
|
||||
}))
|
||||
}
|
||||
stack={settings.generatedCodeConfig}
|
||||
setStack={(config) => setStack(config)}
|
||||
shouldDisableUpdates={
|
||||
appState === AppState.CODING || appState === AppState.CODE_READY
|
||||
}
|
||||
@ -302,10 +358,10 @@ function App() {
|
||||
</div>
|
||||
<div className="flex mt-4 w-full">
|
||||
<Button
|
||||
onClick={stop}
|
||||
onClick={cancelCodeGeneration}
|
||||
className="w-full dark:text-white dark:bg-gray-700"
|
||||
>
|
||||
Stop
|
||||
Cancel
|
||||
</Button>
|
||||
</div>
|
||||
<CodePreview code={generatedCode} />
|
||||
@ -357,6 +413,7 @@ function App() {
|
||||
|
||||
{/* Reference image display */}
|
||||
<div className="flex gap-x-2 mt-2">
|
||||
{referenceImages.length > 0 && (
|
||||
<div className="flex flex-col">
|
||||
<div
|
||||
className={classNames({
|
||||
@ -373,6 +430,7 @@ function App() {
|
||||
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
|
||||
@ -417,6 +475,7 @@ function App() {
|
||||
doCreate={doCreate}
|
||||
screenshotOneApiKey={settings.screenshotOneApiKey}
|
||||
/>
|
||||
<ImportCodeSection importFromCode={importFromCode} />
|
||||
</div>
|
||||
)}
|
||||
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
import { useState, useEffect, useMemo, useCallback } from "react";
|
||||
import { useState, useEffect, useMemo } from "react";
|
||||
// useCallback
|
||||
import { useDropzone } from "react-dropzone";
|
||||
// import { PromptImage } from "../../../types";
|
||||
import { toast } from "react-hot-toast";
|
||||
@ -89,39 +90,39 @@ function ImageUpload({ setReferenceImages }: Props) {
|
||||
},
|
||||
});
|
||||
|
||||
const pasteEvent = useCallback(
|
||||
(event: ClipboardEvent) => {
|
||||
const clipboardData = event.clipboardData;
|
||||
if (!clipboardData) return;
|
||||
// const pasteEvent = useCallback(
|
||||
// (event: ClipboardEvent) => {
|
||||
// const clipboardData = event.clipboardData;
|
||||
// if (!clipboardData) return;
|
||||
|
||||
const items = clipboardData.items;
|
||||
const files = [];
|
||||
for (let i = 0; i < items.length; i++) {
|
||||
const file = items[i].getAsFile();
|
||||
if (file && file.type.startsWith("image/")) {
|
||||
files.push(file);
|
||||
}
|
||||
}
|
||||
// const items = clipboardData.items;
|
||||
// const files = [];
|
||||
// for (let i = 0; i < items.length; i++) {
|
||||
// const file = items[i].getAsFile();
|
||||
// if (file && file.type.startsWith("image/")) {
|
||||
// files.push(file);
|
||||
// }
|
||||
// }
|
||||
|
||||
// Convert images to data URLs and set the prompt images state
|
||||
Promise.all(files.map((file) => fileToDataURL(file)))
|
||||
.then((dataUrls) => {
|
||||
if (dataUrls.length > 0) {
|
||||
setReferenceImages(dataUrls.map((dataUrl) => dataUrl as string));
|
||||
}
|
||||
})
|
||||
.catch((error) => {
|
||||
// TODO: Display error to user
|
||||
console.error("Error reading files:", error);
|
||||
});
|
||||
},
|
||||
[setReferenceImages]
|
||||
);
|
||||
// // Convert images to data URLs and set the prompt images state
|
||||
// Promise.all(files.map((file) => fileToDataURL(file)))
|
||||
// .then((dataUrls) => {
|
||||
// if (dataUrls.length > 0) {
|
||||
// setReferenceImages(dataUrls.map((dataUrl) => dataUrl as string));
|
||||
// }
|
||||
// })
|
||||
// .catch((error) => {
|
||||
// // TODO: Display error to user
|
||||
// console.error("Error reading files:", error);
|
||||
// });
|
||||
// },
|
||||
// [setReferenceImages]
|
||||
// );
|
||||
|
||||
// TODO: Make sure we don't listen to paste events in text input components
|
||||
useEffect(() => {
|
||||
window.addEventListener("paste", pasteEvent);
|
||||
}, [pasteEvent]);
|
||||
// useEffect(() => {
|
||||
// window.addEventListener("paste", pasteEvent);
|
||||
// }, [pasteEvent]);
|
||||
|
||||
useEffect(() => {
|
||||
return () => files.forEach((file) => URL.revokeObjectURL(file.preview));
|
||||
|
||||
74
frontend/src/components/ImportCodeSection.tsx
Normal file
74
frontend/src/components/ImportCodeSection.tsx
Normal file
@ -0,0 +1,74 @@
|
||||
import { useState } from "react";
|
||||
import { Button } from "./ui/button";
|
||||
import {
|
||||
Dialog,
|
||||
DialogContent,
|
||||
DialogDescription,
|
||||
DialogFooter,
|
||||
DialogHeader,
|
||||
DialogTitle,
|
||||
DialogTrigger,
|
||||
} from "./ui/dialog";
|
||||
import { Textarea } from "./ui/textarea";
|
||||
import OutputSettingsSection from "./OutputSettingsSection";
|
||||
import toast from "react-hot-toast";
|
||||
import { Stack } from "../lib/stacks";
|
||||
|
||||
interface Props {
|
||||
importFromCode: (code: string, stack: Stack) => void;
|
||||
}
|
||||
|
||||
function ImportCodeSection({ importFromCode }: Props) {
|
||||
const [code, setCode] = useState("");
|
||||
const [stack, setStack] = useState<Stack | undefined>(undefined);
|
||||
|
||||
const doImport = () => {
|
||||
if (code === "") {
|
||||
toast.error("Please paste in some code");
|
||||
return;
|
||||
}
|
||||
|
||||
if (stack === undefined) {
|
||||
toast.error("Please select your stack");
|
||||
return;
|
||||
}
|
||||
|
||||
importFromCode(code, stack);
|
||||
};
|
||||
return (
|
||||
<Dialog>
|
||||
<DialogTrigger asChild>
|
||||
<Button variant="secondary">Import from Code</Button>
|
||||
</DialogTrigger>
|
||||
<DialogContent className="sm:max-w-[425px]">
|
||||
<DialogHeader>
|
||||
<DialogTitle>Paste in your HTML code</DialogTitle>
|
||||
<DialogDescription>
|
||||
Make sure that the code you're importing is valid HTML.
|
||||
</DialogDescription>
|
||||
</DialogHeader>
|
||||
|
||||
<Textarea
|
||||
value={code}
|
||||
onChange={(e) => setCode(e.target.value)}
|
||||
className="w-full h-64"
|
||||
/>
|
||||
|
||||
<OutputSettingsSection
|
||||
stack={stack}
|
||||
setStack={(config: Stack) => setStack(config)}
|
||||
label="Stack:"
|
||||
shouldDisableUpdates={false}
|
||||
/>
|
||||
|
||||
<DialogFooter>
|
||||
<Button type="submit" onClick={doImport}>
|
||||
Import
|
||||
</Button>
|
||||
</DialogFooter>
|
||||
</DialogContent>
|
||||
</Dialog>
|
||||
);
|
||||
}
|
||||
|
||||
export default ImportCodeSection;
|
||||
@ -1,3 +1,4 @@
|
||||
import React from "react";
|
||||
import {
|
||||
Select,
|
||||
SelectContent,
|
||||
@ -5,82 +6,63 @@ import {
|
||||
SelectItem,
|
||||
SelectTrigger,
|
||||
} from "./ui/select";
|
||||
import { GeneratedCodeConfig } from "../types";
|
||||
import { Badge } from "./ui/badge";
|
||||
import { Stack, STACK_DESCRIPTIONS } from "../lib/stacks";
|
||||
|
||||
function generateDisplayComponent(stack: Stack) {
|
||||
const stackComponents = STACK_DESCRIPTIONS[stack].components;
|
||||
|
||||
function generateDisplayComponent(config: GeneratedCodeConfig) {
|
||||
switch (config) {
|
||||
case GeneratedCodeConfig.HTML_TAILWIND:
|
||||
return (
|
||||
<div>
|
||||
<span className="font-semibold">HTML</span> +{" "}
|
||||
<span className="font-semibold">Tailwind</span>
|
||||
{stackComponents.map((component, index) => (
|
||||
<React.Fragment key={index}>
|
||||
<span className="font-semibold">{component}</span>
|
||||
{index < stackComponents.length - 1 && " + "}
|
||||
</React.Fragment>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
case GeneratedCodeConfig.REACT_TAILWIND:
|
||||
return (
|
||||
<div>
|
||||
<span className="font-semibold">React</span> +{" "}
|
||||
<span className="font-semibold">Tailwind</span>
|
||||
</div>
|
||||
);
|
||||
case GeneratedCodeConfig.BOOTSTRAP:
|
||||
return (
|
||||
<div>
|
||||
<span className="font-semibold">Bootstrap</span>
|
||||
</div>
|
||||
);
|
||||
case GeneratedCodeConfig.IONIC_TAILWIND:
|
||||
return (
|
||||
<div>
|
||||
<span className="font-semibold">Ionic</span> +{" "}
|
||||
<span className="font-semibold">Tailwind</span>
|
||||
</div>
|
||||
);
|
||||
default:
|
||||
// TODO: Should never reach this out. Error out
|
||||
return config;
|
||||
}
|
||||
}
|
||||
|
||||
interface Props {
|
||||
generatedCodeConfig: GeneratedCodeConfig;
|
||||
setGeneratedCodeConfig: (config: GeneratedCodeConfig) => void;
|
||||
stack: Stack | undefined;
|
||||
setStack: (config: Stack) => void;
|
||||
label?: string;
|
||||
shouldDisableUpdates?: boolean;
|
||||
}
|
||||
|
||||
function OutputSettingsSection({
|
||||
generatedCodeConfig,
|
||||
setGeneratedCodeConfig,
|
||||
stack,
|
||||
setStack,
|
||||
label = "Generating:",
|
||||
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>Generating:</span>
|
||||
<span>{label}</span>
|
||||
<Select
|
||||
value={generatedCodeConfig}
|
||||
onValueChange={(value: string) =>
|
||||
setGeneratedCodeConfig(value as GeneratedCodeConfig)
|
||||
}
|
||||
value={stack}
|
||||
onValueChange={(value: string) => setStack(value as Stack)}
|
||||
disabled={shouldDisableUpdates}
|
||||
>
|
||||
<SelectTrigger className="col-span-2" id="output-settings-js">
|
||||
{generateDisplayComponent(generatedCodeConfig)}
|
||||
{stack ? generateDisplayComponent(stack) : "Select a stack"}
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
<SelectGroup>
|
||||
<SelectItem value={GeneratedCodeConfig.HTML_TAILWIND}>
|
||||
{generateDisplayComponent(GeneratedCodeConfig.HTML_TAILWIND)}
|
||||
</SelectItem>
|
||||
<SelectItem value={GeneratedCodeConfig.REACT_TAILWIND}>
|
||||
{generateDisplayComponent(GeneratedCodeConfig.REACT_TAILWIND)}
|
||||
</SelectItem>
|
||||
<SelectItem value={GeneratedCodeConfig.BOOTSTRAP}>
|
||||
{generateDisplayComponent(GeneratedCodeConfig.BOOTSTRAP)}
|
||||
</SelectItem>
|
||||
<SelectItem value={GeneratedCodeConfig.IONIC_TAILWIND}>
|
||||
{generateDisplayComponent(GeneratedCodeConfig.IONIC_TAILWIND)}
|
||||
{Object.values(Stack).map((stack) => (
|
||||
<SelectItem key={stack} value={stack}>
|
||||
<div className="flex items-center">
|
||||
{generateDisplayComponent(stack)}
|
||||
{STACK_DESCRIPTIONS[stack].inBeta && (
|
||||
<Badge className="ml-2" variant="secondary">
|
||||
Beta
|
||||
</Badge>
|
||||
)}
|
||||
</div>
|
||||
</SelectItem>
|
||||
))}
|
||||
</SelectGroup>
|
||||
</SelectContent>
|
||||
</Select>
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
import { useEffect, useRef } from 'react';
|
||||
import { useEffect, useRef } from "react";
|
||||
import classNames from "classnames";
|
||||
import useThrottle from "../hooks/useThrottle";
|
||||
// import useThrottle from "../hooks/useThrottle";
|
||||
|
||||
interface Props {
|
||||
code: string;
|
||||
@ -8,7 +8,9 @@ interface Props {
|
||||
}
|
||||
|
||||
function Preview({ code, device }: Props) {
|
||||
const throttledCode = useThrottle(code, 200);
|
||||
const throttledCode = code;
|
||||
// Temporary disable throttling for the preview not updating when the code changes
|
||||
// useThrottle(code, 200);
|
||||
const iframeRef = useRef<HTMLIFrameElement | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
|
||||
70
frontend/src/components/evals/EvalsPage.tsx
Normal file
70
frontend/src/components/evals/EvalsPage.tsx
Normal file
@ -0,0 +1,70 @@
|
||||
import React, { useEffect } from "react";
|
||||
import { HTTP_BACKEND_URL } from "../../config";
|
||||
import RatingPicker from "./RatingPicker";
|
||||
|
||||
interface Eval {
|
||||
input: string;
|
||||
output: string;
|
||||
}
|
||||
|
||||
function EvalsPage() {
|
||||
const [evals, setEvals] = React.useState<Eval[]>([]);
|
||||
const [ratings, setRatings] = React.useState<number[]>([]);
|
||||
|
||||
const total = ratings.reduce((a, b) => a + b, 0);
|
||||
const max = ratings.length * 4;
|
||||
const score = ((total / max) * 100 || 0).toFixed(2);
|
||||
|
||||
useEffect(() => {
|
||||
if (evals.length > 0) return;
|
||||
|
||||
fetch(`${HTTP_BACKEND_URL}/evals`)
|
||||
.then((res) => res.json())
|
||||
.then((data) => {
|
||||
setEvals(data);
|
||||
setRatings(new Array(data.length).fill(0));
|
||||
});
|
||||
}, [evals]);
|
||||
|
||||
return (
|
||||
<div className="mx-auto">
|
||||
{/* Display total */}
|
||||
<div className="flex items-center justify-center w-full h-12 bg-zinc-950">
|
||||
<span className="text-2xl font-semibold text-white">
|
||||
Total: {total} out of {max} ({score}%)
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col gap-y-4 mt-4 mx-auto justify-center">
|
||||
{evals.map((e, index) => (
|
||||
<div className="flex flex-col justify-center" key={index}>
|
||||
<div className="flex gap-x-2 justify-center">
|
||||
<div className="w-1/2 p-1 border">
|
||||
<img src={e.input} />
|
||||
</div>
|
||||
<div className="w-1/2 p-1 border">
|
||||
{/* Put output into an iframe */}
|
||||
<iframe
|
||||
srcDoc={e.output}
|
||||
className="w-[1200px] h-[800px] transform scale-[0.60]"
|
||||
style={{ transformOrigin: "top left" }}
|
||||
></iframe>
|
||||
</div>
|
||||
</div>
|
||||
<div className="ml-8 mt-4 flex justify-center">
|
||||
<RatingPicker
|
||||
onSelect={(rating) => {
|
||||
const newRatings = [...ratings];
|
||||
newRatings[index] = rating;
|
||||
setRatings(newRatings);
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default EvalsPage;
|
||||
38
frontend/src/components/evals/RatingPicker.tsx
Normal file
38
frontend/src/components/evals/RatingPicker.tsx
Normal file
@ -0,0 +1,38 @@
|
||||
import React from "react";
|
||||
|
||||
interface Props {
|
||||
onSelect: (rating: number) => void;
|
||||
}
|
||||
|
||||
function RatingPicker({ onSelect }: Props) {
|
||||
const [selected, setSelected] = React.useState<number | null>(null);
|
||||
|
||||
const renderCircle = (number: number) => {
|
||||
const isSelected = selected === number;
|
||||
const bgColor = isSelected ? "bg-black" : "bg-gray-300";
|
||||
const textColor = isSelected ? "text-white" : "text-black";
|
||||
|
||||
return (
|
||||
<div
|
||||
className={`flex items-center justify-center w-8 h-8 ${bgColor} rounded-full cursor-pointer`}
|
||||
onClick={() => {
|
||||
setSelected(number);
|
||||
onSelect(number);
|
||||
}}
|
||||
>
|
||||
<span className={`text-lg font-semibold ${textColor}`}>{number}</span>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="flex space-x-4">
|
||||
{renderCircle(1)}
|
||||
{renderCircle(2)}
|
||||
{renderCircle(3)}
|
||||
{renderCircle(4)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default RatingPicker;
|
||||
@ -1,12 +1,16 @@
|
||||
import { History, HistoryItemType } from "./history_types";
|
||||
import { History } from "./history_types";
|
||||
import toast from "react-hot-toast";
|
||||
import classNames from "classnames";
|
||||
import {
|
||||
HoverCard,
|
||||
HoverCardTrigger,
|
||||
HoverCardContent,
|
||||
} from "../ui/hover-card";
|
||||
|
||||
import { Badge } from "../ui/badge";
|
||||
import { renderHistory } from "./utils";
|
||||
import {
|
||||
Collapsible,
|
||||
CollapsibleContent,
|
||||
CollapsibleTrigger,
|
||||
} from "../ui/collapsible";
|
||||
import { Button } from "../ui/button";
|
||||
import { CaretSortIcon } from "@radix-ui/react-icons";
|
||||
|
||||
interface Props {
|
||||
history: History;
|
||||
@ -15,42 +19,33 @@ interface Props {
|
||||
shouldDisableReverts: boolean;
|
||||
}
|
||||
|
||||
function displayHistoryItemType(itemType: HistoryItemType) {
|
||||
switch (itemType) {
|
||||
case "ai_create":
|
||||
return "Create";
|
||||
case "ai_edit":
|
||||
return "Edit";
|
||||
default: {
|
||||
const exhaustiveCheck: never = itemType;
|
||||
throw new Error(`Unhandled case: ${exhaustiveCheck}`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export default function HistoryDisplay({
|
||||
history,
|
||||
currentVersion,
|
||||
revertToVersion,
|
||||
shouldDisableReverts,
|
||||
}: Props) {
|
||||
return history.length === 0 ? null : (
|
||||
const renderedHistory = renderHistory(history, currentVersion);
|
||||
|
||||
return renderedHistory.length === 0 ? null : (
|
||||
<div className="flex flex-col h-screen">
|
||||
<h1 className="font-bold mb-2">Versions</h1>
|
||||
<ul className="space-y-0 flex flex-col-reverse">
|
||||
{history.map((item, index) => (
|
||||
{renderedHistory.map((item, index) => (
|
||||
<li key={index}>
|
||||
<HoverCard>
|
||||
<HoverCardTrigger
|
||||
<Collapsible>
|
||||
<div
|
||||
className={classNames(
|
||||
"flex items-center justify-between space-x-2 p-2",
|
||||
"flex items-center justify-between space-x-2 w-full pr-2",
|
||||
"border-b cursor-pointer",
|
||||
{
|
||||
" hover:bg-black hover:text-white":
|
||||
index !== currentVersion,
|
||||
"bg-slate-500 text-white": index === currentVersion,
|
||||
" hover:bg-black hover:text-white": !item.isActive,
|
||||
"bg-slate-500 text-white": item.isActive,
|
||||
}
|
||||
)}
|
||||
>
|
||||
<div
|
||||
className="flex justify-between truncate flex-1 p-2"
|
||||
onClick={() =>
|
||||
shouldDisableReverts
|
||||
? toast.error(
|
||||
@ -59,28 +54,30 @@ export default function HistoryDisplay({
|
||||
: revertToVersion(index)
|
||||
}
|
||||
>
|
||||
{" "}
|
||||
<div className="flex gap-x-1 truncate">
|
||||
<h2 className="text-sm truncate">
|
||||
{item.type === "ai_edit" ? item.inputs.prompt : "Create"}
|
||||
</h2>
|
||||
{/* <h2 className="text-sm">{displayHistoryItemType(item.type)}</h2> */}
|
||||
{item.parentIndex !== null &&
|
||||
item.parentIndex !== index - 1 ? (
|
||||
<h2 className="text-sm truncate">{item.summary}</h2>
|
||||
{item.parentVersion !== null && (
|
||||
<h2 className="text-sm">
|
||||
(parent: v{(item.parentIndex || 0) + 1})
|
||||
(parent: {item.parentVersion})
|
||||
</h2>
|
||||
) : null}
|
||||
)}
|
||||
</div>
|
||||
<h2 className="text-sm">v{index + 1}</h2>
|
||||
</HoverCardTrigger>
|
||||
<HoverCardContent>
|
||||
<div>
|
||||
{item.type === "ai_edit" ? item.inputs.prompt : "Create"}
|
||||
</div>
|
||||
<Badge>{displayHistoryItemType(item.type)}</Badge>
|
||||
</HoverCardContent>
|
||||
</HoverCard>
|
||||
<CollapsibleTrigger asChild>
|
||||
<Button variant="ghost" size="sm" className="h-6">
|
||||
<CaretSortIcon className="h-4 w-4" />
|
||||
<span className="sr-only">Toggle</span>
|
||||
</Button>
|
||||
</CollapsibleTrigger>
|
||||
</div>
|
||||
<CollapsibleContent className="w-full bg-slate-300 p-2">
|
||||
<div>Full prompt: {item.summary}</div>
|
||||
<div className="flex justify-end">
|
||||
<Badge>{item.type}</Badge>
|
||||
</div>
|
||||
</CollapsibleContent>
|
||||
</Collapsible>
|
||||
</li>
|
||||
))}
|
||||
</ul>
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
export type HistoryItemType = "ai_create" | "ai_edit";
|
||||
export type HistoryItemType = "ai_create" | "ai_edit" | "code_create";
|
||||
|
||||
type CommonHistoryItem = {
|
||||
parentIndex: null | number;
|
||||
@ -13,6 +13,10 @@ export type HistoryItem =
|
||||
| ({
|
||||
type: "ai_edit";
|
||||
inputs: AiEditInputs;
|
||||
} & CommonHistoryItem)
|
||||
| ({
|
||||
type: "code_create";
|
||||
inputs: CodeCreateInputs;
|
||||
} & CommonHistoryItem);
|
||||
|
||||
export type AiCreateInputs = {
|
||||
@ -23,4 +27,15 @@ 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;
|
||||
};
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
import { expect, test } from "vitest";
|
||||
import { extractHistoryTree } from "./utils";
|
||||
import { extractHistoryTree, renderHistory } from "./utils";
|
||||
import type { History } from "./history_types";
|
||||
|
||||
const basicLinearHistory: History = [
|
||||
@ -29,6 +29,18 @@ const basicLinearHistory: History = [
|
||||
},
|
||||
];
|
||||
|
||||
const basicLinearHistoryWithCode: History = [
|
||||
{
|
||||
type: "code_create",
|
||||
parentIndex: null,
|
||||
code: "<html>1. create</html>",
|
||||
inputs: {
|
||||
code: "<html>1. create</html>",
|
||||
},
|
||||
},
|
||||
...basicLinearHistory.slice(1),
|
||||
];
|
||||
|
||||
const basicBranchingHistory: History = [
|
||||
...basicLinearHistory,
|
||||
{
|
||||
@ -53,7 +65,26 @@ const longerBranchingHistory: History = [
|
||||
},
|
||||
];
|
||||
|
||||
test("should only include history from this point onward", () => {
|
||||
const basicBadHistory: History = [
|
||||
{
|
||||
type: "ai_create",
|
||||
parentIndex: null,
|
||||
code: "<html>1. create</html>",
|
||||
inputs: {
|
||||
image_url: "",
|
||||
},
|
||||
},
|
||||
{
|
||||
type: "ai_edit",
|
||||
parentIndex: 2, // <- Bad parent index
|
||||
code: "<html>2. edit with better icons</html>",
|
||||
inputs: {
|
||||
prompt: "use better icons",
|
||||
},
|
||||
},
|
||||
];
|
||||
|
||||
test("should correctly extract the history tree", () => {
|
||||
expect(extractHistoryTree(basicLinearHistory, 2)).toEqual([
|
||||
"<html>1. create</html>",
|
||||
"use better icons",
|
||||
@ -93,11 +124,107 @@ test("should only include history from this point onward", () => {
|
||||
"<html>3. edit with better icons and red text</html>",
|
||||
]);
|
||||
|
||||
// Errors - TODO: Handle these
|
||||
// Errors
|
||||
|
||||
// Bad index
|
||||
// TODO: Throw an exception instead?
|
||||
expect(extractHistoryTree(basicLinearHistory, 100)).toEqual([]);
|
||||
expect(extractHistoryTree(basicLinearHistory, -2)).toEqual([]);
|
||||
expect(() => extractHistoryTree(basicLinearHistory, 100)).toThrow();
|
||||
expect(() => extractHistoryTree(basicLinearHistory, -2)).toThrow();
|
||||
|
||||
// Bad tree
|
||||
expect(() => extractHistoryTree(basicBadHistory, 1)).toThrow();
|
||||
});
|
||||
|
||||
test("should correctly render the history tree", () => {
|
||||
expect(renderHistory(basicLinearHistory, 2)).toEqual([
|
||||
{
|
||||
isActive: false,
|
||||
parentVersion: null,
|
||||
summary: "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",
|
||||
type: "Create",
|
||||
},
|
||||
{
|
||||
isActive: false,
|
||||
parentVersion: null,
|
||||
summary: "use better icons",
|
||||
type: "Edit",
|
||||
},
|
||||
{
|
||||
isActive: false,
|
||||
parentVersion: null,
|
||||
summary: "make text red",
|
||||
type: "Edit",
|
||||
},
|
||||
]);
|
||||
|
||||
// Render a history with code
|
||||
expect(renderHistory(basicLinearHistoryWithCode, 0)).toEqual([
|
||||
{
|
||||
isActive: true,
|
||||
parentVersion: null,
|
||||
summary: "Imported from code",
|
||||
type: "Imported from code",
|
||||
},
|
||||
{
|
||||
isActive: false,
|
||||
parentVersion: null,
|
||||
summary: "use better icons",
|
||||
type: "Edit",
|
||||
},
|
||||
{
|
||||
isActive: false,
|
||||
parentVersion: null,
|
||||
summary: "make text red",
|
||||
type: "Edit",
|
||||
},
|
||||
]);
|
||||
|
||||
// Render a non-linear history
|
||||
expect(renderHistory(basicBranchingHistory, 3)).toEqual([
|
||||
{
|
||||
isActive: false,
|
||||
parentVersion: null,
|
||||
summary: "Create",
|
||||
type: "Create",
|
||||
},
|
||||
{
|
||||
isActive: false,
|
||||
parentVersion: null,
|
||||
summary: "use better icons",
|
||||
type: "Edit",
|
||||
},
|
||||
{
|
||||
isActive: false,
|
||||
parentVersion: null,
|
||||
summary: "make text red",
|
||||
type: "Edit",
|
||||
},
|
||||
{
|
||||
isActive: true,
|
||||
parentVersion: "v2",
|
||||
summary: "make text green",
|
||||
type: "Edit",
|
||||
},
|
||||
]);
|
||||
});
|
||||
|
||||
@ -1,4 +1,9 @@
|
||||
import { History, HistoryItem } from "./history_types";
|
||||
import {
|
||||
History,
|
||||
HistoryItem,
|
||||
HistoryItemType,
|
||||
RenderedHistoryItem,
|
||||
} from "./history_types";
|
||||
|
||||
export function extractHistoryTree(
|
||||
history: History,
|
||||
@ -14,19 +19,78 @@ export function extractHistoryTree(
|
||||
if (item.type === "ai_create") {
|
||||
// Don't include the image for ai_create
|
||||
flatHistory.unshift(item.code);
|
||||
} else {
|
||||
} else if (item.type === "ai_edit") {
|
||||
flatHistory.unshift(item.code);
|
||||
flatHistory.unshift(item.inputs.prompt);
|
||||
} else if (item.type === "code_create") {
|
||||
flatHistory.unshift(item.code);
|
||||
}
|
||||
|
||||
// Move to the parent of the current item
|
||||
currentIndex = item.parentIndex;
|
||||
} else {
|
||||
// TODO: Throw an exception here?
|
||||
// Break the loop if the item is not found (should not happen in a well-formed history)
|
||||
break;
|
||||
throw new Error("Malformed history: missing parent index");
|
||||
}
|
||||
}
|
||||
|
||||
return flatHistory;
|
||||
}
|
||||
|
||||
function displayHistoryItemType(itemType: HistoryItemType) {
|
||||
switch (itemType) {
|
||||
case "ai_create":
|
||||
return "Create";
|
||||
case "ai_edit":
|
||||
return "Edit";
|
||||
case "code_create":
|
||||
return "Imported from code";
|
||||
default: {
|
||||
const exhaustiveCheck: never = itemType;
|
||||
throw new Error(`Unhandled case: ${exhaustiveCheck}`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function summarizeHistoryItem(item: HistoryItem) {
|
||||
const itemType = item.type;
|
||||
switch (itemType) {
|
||||
case "ai_create":
|
||||
return "Create";
|
||||
case "ai_edit":
|
||||
return item.inputs.prompt;
|
||||
case "code_create":
|
||||
return "Imported from code";
|
||||
default: {
|
||||
const exhaustiveCheck: never = itemType;
|
||||
throw new Error(`Unhandled case: ${exhaustiveCheck}`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export const renderHistory = (
|
||||
history: History,
|
||||
currentVersion: number | null
|
||||
) => {
|
||||
const renderedHistory: RenderedHistoryItem[] = [];
|
||||
|
||||
for (let i = 0; i < history.length; i++) {
|
||||
const item = history[i];
|
||||
// Only show the parent version if it's not the previous version
|
||||
// (i.e. it's the branching point) and if it's not the first version
|
||||
const parentVersion =
|
||||
item.parentIndex !== null && item.parentIndex !== i - 1
|
||||
? `v${(item.parentIndex || 0) + 1}`
|
||||
: null;
|
||||
const type = displayHistoryItemType(item.type);
|
||||
const isActive = i === currentVersion;
|
||||
const summary = summarizeHistoryItem(item);
|
||||
renderedHistory.push({
|
||||
isActive,
|
||||
summary: summary,
|
||||
parentVersion,
|
||||
type,
|
||||
});
|
||||
}
|
||||
|
||||
return renderedHistory;
|
||||
};
|
||||
|
||||
9
frontend/src/components/ui/collapsible.tsx
Normal file
9
frontend/src/components/ui/collapsible.tsx
Normal file
@ -0,0 +1,9 @@
|
||||
import * as CollapsiblePrimitive from "@radix-ui/react-collapsible"
|
||||
|
||||
const Collapsible = CollapsiblePrimitive.Root
|
||||
|
||||
const CollapsibleTrigger = CollapsiblePrimitive.CollapsibleTrigger
|
||||
|
||||
const CollapsibleContent = CollapsiblePrimitive.CollapsibleContent
|
||||
|
||||
export { Collapsible, CollapsibleTrigger, CollapsibleContent }
|
||||
@ -1,26 +1,20 @@
|
||||
import toast from "react-hot-toast";
|
||||
import { WS_BACKEND_URL } from "./config";
|
||||
import { USER_CLOSE_WEB_SOCKET_CODE } from "./constants";
|
||||
import { FullGenerationSettings } from "./types";
|
||||
|
||||
const ERROR_MESSAGE =
|
||||
"Error generating code. Check the Developer Console AND the backend logs for details. Feel free to open a Github issue.";
|
||||
|
||||
const STOP_MESSAGE = "Code generation stopped";
|
||||
|
||||
export interface CodeGenerationParams {
|
||||
generationType: "create" | "update";
|
||||
image: string;
|
||||
resultImage?: string;
|
||||
history?: string[];
|
||||
// isImageGenerationEnabled: boolean; // TODO: Merge with Settings type in types.ts
|
||||
}
|
||||
const CANCEL_MESSAGE = "Code generation cancelled";
|
||||
|
||||
export function generateCode(
|
||||
wsRef: React.MutableRefObject<WebSocket | null>,
|
||||
params: CodeGenerationParams,
|
||||
params: FullGenerationSettings,
|
||||
onChange: (chunk: string) => void,
|
||||
onSetCode: (code: string) => void,
|
||||
onStatusUpdate: (status: string) => void,
|
||||
onCancel: () => void,
|
||||
onComplete: () => void
|
||||
) {
|
||||
const wsUrl = `${WS_BACKEND_URL}/generate-code`;
|
||||
@ -46,15 +40,18 @@ export function generateCode(
|
||||
toast.error(response.value);
|
||||
}
|
||||
});
|
||||
|
||||
ws.addEventListener("close", (event) => {
|
||||
console.log("Connection closed", event.code, event.reason);
|
||||
if (event.code === USER_CLOSE_WEB_SOCKET_CODE) {
|
||||
toast.success(STOP_MESSAGE);
|
||||
toast.success(CANCEL_MESSAGE);
|
||||
onCancel();
|
||||
} else if (event.code !== 1000) {
|
||||
console.error("WebSocket error code", event);
|
||||
toast.error(ERROR_MESSAGE);
|
||||
}
|
||||
} else {
|
||||
onComplete();
|
||||
}
|
||||
});
|
||||
|
||||
ws.addEventListener("error", (error) => {
|
||||
|
||||
20
frontend/src/lib/stacks.ts
Normal file
20
frontend/src/lib/stacks.ts
Normal file
@ -0,0 +1,20 @@
|
||||
// Keep in sync with backend (prompts/types.py)
|
||||
export enum Stack {
|
||||
HTML_TAILWIND = "html_tailwind",
|
||||
REACT_TAILWIND = "react_tailwind",
|
||||
BOOTSTRAP = "bootstrap",
|
||||
VUE_TAILWIND = "vue_tailwind",
|
||||
IONIC_TAILWIND = "ionic_tailwind",
|
||||
SVG = "svg",
|
||||
}
|
||||
|
||||
export const STACK_DESCRIPTIONS: {
|
||||
[key in Stack]: { components: string[]; inBeta: boolean };
|
||||
} = {
|
||||
html_tailwind: { components: ["HTML", "Tailwind"], inBeta: false },
|
||||
react_tailwind: { components: ["React", "Tailwind"], inBeta: false },
|
||||
bootstrap: { components: ["Bootstrap"], inBeta: false },
|
||||
vue_tailwind: { components: ["Vue", "Tailwind"], inBeta: true },
|
||||
ionic_tailwind: { components: ["Ionic", "Tailwind"], inBeta: true },
|
||||
svg: { components: ["SVG"], inBeta: true },
|
||||
};
|
||||
@ -3,10 +3,17 @@ import ReactDOM from "react-dom/client";
|
||||
import App from "./App.tsx";
|
||||
import "./index.css";
|
||||
import { Toaster } from "react-hot-toast";
|
||||
import EvalsPage from "./components/evals/EvalsPage.tsx";
|
||||
import { BrowserRouter as Router, Routes, Route } from "react-router-dom";
|
||||
|
||||
ReactDOM.createRoot(document.getElementById("root")!).render(
|
||||
<React.StrictMode>
|
||||
<App />
|
||||
<Toaster toastOptions={{ className:"dark:bg-zinc-950 dark:text-white" }}/>
|
||||
<Router>
|
||||
<Routes>
|
||||
<Route path="/" element={<App />} />
|
||||
<Route path="/evals" element={<EvalsPage />} />
|
||||
</Routes>
|
||||
</Router>
|
||||
<Toaster toastOptions={{ className: "dark:bg-zinc-950 dark:text-white" }} />
|
||||
</React.StrictMode>
|
||||
);
|
||||
|
||||
@ -1,23 +1,17 @@
|
||||
import { Stack } from "./lib/stacks";
|
||||
|
||||
export enum EditorTheme {
|
||||
ESPRESSO = "espresso",
|
||||
COBALT = "cobalt",
|
||||
}
|
||||
|
||||
// Keep in sync with backend (prompts.py)
|
||||
export enum GeneratedCodeConfig {
|
||||
HTML_TAILWIND = "html_tailwind",
|
||||
REACT_TAILWIND = "react_tailwind",
|
||||
BOOTSTRAP = "bootstrap",
|
||||
IONIC_TAILWIND = "ionic_tailwind",
|
||||
}
|
||||
|
||||
export interface Settings {
|
||||
openAiApiKey: string | null;
|
||||
openAiBaseURL: string | null;
|
||||
screenshotOneApiKey: string | null;
|
||||
isImageGenerationEnabled: boolean;
|
||||
editorTheme: EditorTheme;
|
||||
generatedCodeConfig: GeneratedCodeConfig;
|
||||
generatedCodeConfig: Stack;
|
||||
// Only relevant for hosted version
|
||||
isTermOfServiceAccepted: boolean;
|
||||
accessCode: string | null;
|
||||
@ -28,3 +22,13 @@ export enum AppState {
|
||||
CODING = "CODING",
|
||||
CODE_READY = "CODE_READY",
|
||||
}
|
||||
|
||||
export interface CodeGenerationParams {
|
||||
generationType: "create" | "update";
|
||||
image: string;
|
||||
resultImage?: string;
|
||||
history?: string[];
|
||||
isImportedFromCode?: boolean;
|
||||
}
|
||||
|
||||
export type FullGenerationSettings = CodeGenerationParams & Settings;
|
||||
|
||||
@ -804,7 +804,7 @@
|
||||
"@radix-ui/react-use-previous" "1.0.1"
|
||||
"@radix-ui/react-use-size" "1.0.1"
|
||||
|
||||
"@radix-ui/react-collapsible@1.0.3":
|
||||
"@radix-ui/react-collapsible@1.0.3", "@radix-ui/react-collapsible@^1.0.3":
|
||||
version "1.0.3"
|
||||
resolved "https://registry.yarnpkg.com/@radix-ui/react-collapsible/-/react-collapsible-1.0.3.tgz#df0e22e7a025439f13f62d4e4a9e92c4a0df5b81"
|
||||
integrity sha512-UBmVDkmR6IvDsloHVN+3rtx4Mi5TFvylYXpluuv0f37dtaz3H99bp8No0LGXRigVpl3UAT4l9j6bIchh42S/Gg==
|
||||
@ -1184,6 +1184,11 @@
|
||||
dependencies:
|
||||
"@babel/runtime" "^7.13.10"
|
||||
|
||||
"@remix-run/router@1.13.1":
|
||||
version "1.13.1"
|
||||
resolved "https://registry.yarnpkg.com/@remix-run/router/-/router-1.13.1.tgz#07e2a8006f23a3bc898b3f317e0a58cc8076b86e"
|
||||
integrity sha512-so+DHzZKsoOcoXrILB4rqDkMDy7NLMErRdOxvzvOKb507YINKUP4Di+shbTZDhSE/pBZ+vr7XGIpcOO0VLSA+Q==
|
||||
|
||||
"@rollup/pluginutils@^4.2.0":
|
||||
version "4.2.1"
|
||||
resolved "https://registry.yarnpkg.com/@rollup/pluginutils/-/pluginutils-4.2.1.tgz#e6c6c3aba0744edce3fb2074922d3776c0af2a6d"
|
||||
@ -3144,6 +3149,21 @@ react-remove-scroll@2.5.5:
|
||||
use-callback-ref "^1.3.0"
|
||||
use-sidecar "^1.1.2"
|
||||
|
||||
react-router-dom@^6.20.1:
|
||||
version "6.20.1"
|
||||
resolved "https://registry.yarnpkg.com/react-router-dom/-/react-router-dom-6.20.1.tgz#e34f8075b9304221420de3609e072bb349824984"
|
||||
integrity sha512-npzfPWcxfQN35psS7rJgi/EW0Gx6EsNjfdJSAk73U/HqMEJZ2k/8puxfwHFgDQhBGmS3+sjnGbMdMSV45axPQw==
|
||||
dependencies:
|
||||
"@remix-run/router" "1.13.1"
|
||||
react-router "6.20.1"
|
||||
|
||||
react-router@6.20.1:
|
||||
version "6.20.1"
|
||||
resolved "https://registry.yarnpkg.com/react-router/-/react-router-6.20.1.tgz#e8cc326031d235aaeec405bb234af77cf0fe75ef"
|
||||
integrity sha512-ccvLrB4QeT5DlaxSFFYi/KR8UMQ4fcD8zBcR71Zp1kaYTC5oJKYAp1cbavzGrogwxca+ubjkd7XjFZKBW8CxPA==
|
||||
dependencies:
|
||||
"@remix-run/router" "1.13.1"
|
||||
|
||||
react-style-singleton@^2.2.1:
|
||||
version "2.2.1"
|
||||
resolved "https://registry.yarnpkg.com/react-style-singleton/-/react-style-singleton-2.2.1.tgz#f99e420492b2d8f34d38308ff660b60d0b1205b4"
|
||||
|
||||
Loading…
Reference in New Issue
Block a user