YouTube Comments AI Analyzer FastAPI App

Overview

This project is a FastAPI application that summarizes YouTube comments using AI models. It fetches comments from YouTube, summarizes them, vectorizes the comments for similarity search, and allows users to query for specific information.
All main endpoints are HTMX endpoints and return rendered HTML templates, not raw JSON.

Screenshots

Setup Instructions

1. Clone the repository

   git clone https://github.com/zodakzach/yt-comments-ai-analyzer.git
   cd yt-comments-ai-analyzer

2. Create a virtual environment and install dependencies with uv

   uv venv
   source .venv/bin/activate  # On Windows use `.venv\Scripts\activate`
   uv pip install -r pyproject.toml

3. Set up environment variables

   • Copy .env.example to .env and fill in the required variables:
     • YOUTUBE_API_KEY
     • THREAD_OPENAI_API_KEY
     • UPSTASH_REDIS_REST_URL
     • UPSTASH_REDIS_REST_TOKEN

4. Run the application

   uvicorn app.main:app --reload

Usage

• The API provides HTMX endpoints that return HTML templates:
  • /summarize/ - Summarize YouTube comments and start a session (returns a summary template).
  • /question/ - Ask a question about the summarized comments using your session (returns an answer template).
  • /health - Health check endpoint

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.