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YouTube Assistant for Transcript-Based Queries

This Python application serves as a YouTube Assistant, allowing users to extract transcripts from YouTube videos and query them for information. It utilizes OpenAI, LangChain - an open-source NLP library, for text processing tasks, and Streamlit for the user interface.

Installation

  1. Clone the repository:

    git clone https://github.com/Purityj/youtube-assistant-llm.git
  2. Navigate to the project directory:

    cd youtube-assistant-llm
  3. Install dependencies:

    pip install -r requirements.txt

Usage

  1. Run the Streamlit application:

    streamlit run app.py
  2. Input the YouTube video URL and ask a query related to the video content.

  3. Click on the "Submit" button to generate the answer based on the video transcript.

Contributors

License

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

UI

image

Acknowledgements

  • LangChain Community
  • Streamlit Community
  • LangChain Crash Course for Beginners by FreeCodeCamp

Contact

For any inquiries or support, please contact me.

About

Python app using LangChain & Streamlit for YouTube video transcript extraction & querying. LangChain's NLP tools break down transcripts, analyze queries, & generate detailed responses. Streamlit powers the user-friendly interface for seamless interaction.

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