This Chrome extension tells you what a website is about before you visit it. It's like having a quick preview or a summary of the site's content.

It uses AI to read the website's content and gives you a brief description. Here's how it's set up:

• Backend with FastAPI: This part talks to the AI service to get the website descriptions.
• Chrome Extension Frontend: This is what you interact with in your browser.

• Get quick summaries of websites with a click.
• Powered by AI for accurate descriptions.
• Simple and easy to use.

1. Clone this repo to your computer

git clone https://github.com/Ahmet-Dedeler/ai-site_description-chrome-extension.git

2. Create a virtual environment

python -m venv openai-env

# Activate virtual environment (Linux/Mac)
source openai-env/bin/activate

# Activate virtual environment (Windows)
openai-env\Scripts\activate

3. Set up the backend by installing required packages

pip install -r requirements.txt

4. Create a .env file
5. Run the FastAPI server

uvicorn main:app --reload

6. Load the extension in Chrome by going to chrome://extensions/, turning on Developer mode, and loading the frontend folder.

If you prefer to use Docker, you can easily set up the backend without manually configuring the environment.

1. Build the Docker image

docker build -t uvicorn-backend .

2. Run the Docker container

docker run -d -p 8000:8000 \
  -e OPENAI_API_KEY=your_value_here \
  -e ENVIRONMENT=production \
  ai-site_description-chrome-extension-backend

Replace your_value_here with your actual OpenAI API key.

For development mode, use:

docker run -d -p 8000:8000 \
  -e OPENAI_API_KEY=your_value_here \
  -e ENVIRONMENT=development \
  ai-site_description-chrome-extension-backend

This command starts the backend service, making it accessible on port 8000.

• The Docker setup includes both development and production configurations.

• In development mode, the app uses uvicorn with hot-reloading enabled.

• In production mode, the app uses gunicorn for better performance and stability.

• Set the ENVIRONMENT variable to either development or production when running the container.

If you have ideas for improvements or find a bug, feel free to contribute. Your input helps make this tool better for everyone.

This project is open-source under the MIT License. You're free to use, change, and share it.