Skip to content

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

License

Notifications You must be signed in to change notification settings

ahaclub/screenshot-to-code-azure

 
 

Repository files navigation

screenshot-to-code

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!

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/Azure key with access to the GPT-4 Vision API.

Run the backend based on the AI provider you want to use (I use Poetry for package management - pip install poetry if you don't have it):

For OpenAI Version:

cd backend
echo "OPENAI_API_KEY=sk-your-key" > .env
poetry install
poetry shell
poetry run uvicorn main:app --reload --port 7001

For Azure version, you need to add some additional environment keys (vision and dalle3 deployment must be int the same resource on Azure. You need to pay attention when creating resources. Currently, the dalle3 model only supports deployment in Sweden Central. For more information, please check the Azure doc):

cd backend
echo "AZURE_OPENAI_API_KEY=sk-your-key" > .env
echo "AZURE_OPENAI_RESOURCE_NAME=azure_resource_name" > .env
echo "AZURE_OPENAI_DEPLOYMENT_NAME=azure_deployment_name" > .env
echo "AZURE_OPENAI_API_VERSION=azure_api_version" > .env
echo "AZURE_OPENAI_DALLE3_DEPLOYMENT_NAME=azure_dalle3_deployment_name"> .env
echo "AZURE_OPENAI_DALLE3_API_VERSION=azure_dalle3_api_version" > .env
poetry install
poetry shell
poetry run uvicorn main:app --reload --port 7001

Run the frontend:

cd frontend
yarn
yarn dev

Open 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 7001

Configuration

  • 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

Docker

If you have Docker installed on your system, in the root directory, run:

For OpenAI Version:

echo "OPENAI_API_KEY=sk-your-key" > .env
docker-compose up -d --build

For Azure version:

echo "AZURE_OPENAI_API_KEY=sk-your-key" > .env
echo "AZURE_OPENAI_RESOURCE_NAME=azure_resource_name" > .env
echo "AZURE_OPENAI_DEPLOYMENT_NAME=azure_deployment_name" > .env
echo "AZURE_OPENAI_API_VERSION=azure_api_version" > .env
echo "AZURE_OPENAI_DALLE3_DEPLOYMENT_NAME=azure_dalle3_deployment_name"> .env
echo "AZURE_OPENAI_DALLE3_API_VERSION=azure_dalle3_api_version" > .env
docker-compose up -d --build

The 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

📚 Examples

NYTimes

Original Replica
Screenshot 2023-11-20 at 12 54 03 PM Screenshot 2023-11-20 at 12 59 56 PM

Instagram page (with not Taylor Swift pics)

instagram.taylor.swift.take.1.mp4

Hacker News but it gets the colors wrong at first so we nudge it

hacker.news.with.edits.mp4

🌍 Hosted Version

🆕 Try it here (bring your own OpenAI key - your key must have access to GPT-4 Vision. See FAQ section for details). Or see Getting Started for local install instructions.

"Buy Me A Coffee"

About

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • TypeScript 55.6%
  • Python 40.2%
  • JavaScript 1.4%
  • CSS 1.2%
  • HTML 1.0%
  • Dockerfile 0.5%
  • Shell 0.1%