phidata-youtube-summarizer

A Streamlit application that generates summaries of YouTube videos using various language models powered by Groq.

Features

• Summarize YouTube videos by providing their URLs
• Choose from multiple language models (llama-3.1-70b-versatile, llama-3.1-8b-instant, llama3-70b-8192, gemma2-9b-it, mixtral-8x7b-32768)
• Adjust the chunk size for processing video captions
• Support for different input and output languages
• Ability to summarize longer videos by processing them in multiple chunks
• Display video metadata and captions

Requirements

• rye
• Python 3.8+
• Streamlit
• phidata library
• python-dotenv
• groq API-KEY

Installation

1. Clone this repository
2. Install the required packages:

   rye sync
   

3. Set up your environment variables in a .env file (see .env.sample for reference)
4. Get your own groq API-KEY and paste it on the .env file

Usage

1. Run the Streamlit app:

   rye run streamlit run src/app.py
   

2. Open the provided URL in your web browser
3. Enter a YouTube video URL in the sidebar
4. Select your desired language model and settings
5. Click "Generate Summary" to process the video and view the results

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is open source and available under the LICENSE file.

Acknowledgements

This project is built using phidata and powered by Groq language models.