Screenshot to Code是一个基于GPT-4图片转代码工具，是一个简单的在线应用程序，能够将屏幕截图转换为干净的 HTML/Tailwind/JS 代码，工具使用 GPT-4 Vision 生成代码，并使用 DALL-E 3 生成外观相似的图像，支持PC端和移动端代码，使用需要自备OpenAI API 密钥，必须具有 GPT4 视觉访问权限。
预览地址：https://picoapps.xyz/free-tools/screenshot-to-code
GitHub地址：https://github.com/abi/screenshot-to-code
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screenshot-to-code
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!
Youtube.Clone.mp4
See the Examples section below for more demos.
🚀 Try It Out!
🆕 Try it here (bring your own OpenAI key - your key must have access to GPT-4 Vision. See FAQ section below for details). Or see Getting Started below for local install instructions.
🌟 Recent Updates
- Dec 11 - Start a new project from existing code (allows you to come back to an older project)
- Dec 7 - 🔥 🔥 🔥 View a history of your edits, and branch off them
- Nov 30 - Dark mode, output code in Ionic (thanks @dialmedu), set OpenAI base URL
- Nov 28 - 🔥 🔥 🔥 Customize your stack: React or Bootstrap or TailwindCSS
- Nov 23 - Send in a screenshot of the current replicated version (sometimes improves quality of subsequent generations)
- Nov 21 - Edit code in the code editor and preview changes live thanks to @clean99
- Nov 20 - Paste in a URL to screenshot and clone (requires ScreenshotOne free API key)
- Nov 19 - Support for dark/light code editor theme - thanks @kachbit
- Nov 16 - Added a setting to disable DALL-E image generation if you don't need that
- Nov 16 - View code directly within the app
- Nov 15 - You can now instruct the AI to update the code as you wish. It is helpful if the AI messed up some styles or missed a section.
🛠 Getting Started
The app has a React/Vite frontend and a FastAPI backend. You will need an OpenAI API key with access to the GPT-4 Vision API.
Run the backend (I use Poetry for package management - pip install poetry if you don't have it):
cd backend
echo "OPENAI_API_KEY=sk-your-key" > .env
poetry install
poetry shell
poetry run uvicorn main:app --reload --port 7001You can also run the backend (when you're in backend):
poetry run pyrightRun the frontend:
cd frontend
yarn
yarn devOpen http://localhost:5173 to use the app.
If you prefer to run the backend on a different port, update VITE_WS_BACKEND_URL in frontend/.env.local
For debugging purposes, if you don't want to waste GPT4-Vision credits, you can run the backend in mock mode (which streams a pre-recorded response):
MOCK=true poetry run uvicorn main:app --reload --port 7001Configuration
- You can configure the OpenAI base URL if you need to use a proxy: Set OPENAI_BASE_URL in the
backend/.envor directly in the UI in the settings dialog
Docker
If you have Docker installed on your system, in the root directory, run:
echo "OPENAI_API_KEY=sk-your-key" > .env
docker-compose up -d --buildThe app will be up and running at http://localhost:5173. Note that you can't develop the application with this setup as the file changes won't trigger a rebuild.
🙋♂️ FAQs
- I'm running into an error when setting up the backend. How can I fix it? Try this. If that still doesn't work, open an issue.
- How do I get an OpenAI API key? See https://github.com/abi/screenshot-to-code/blob/main/Troubleshooting.md
- How can I provide feedback? For feedback, feature requests and bug reports, open an issue or ping me on Twitter.
from https://github.com/abi/screenshot-to-code
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