A web application that uses AI to answer questions about YouTube video content. Built with Streamlit for the frontend, and LangChain with OpenAI for processing and querying video transcripts.

• Interactive User Interface: Allows users to input YouTube video URLs and ask questions about the video.
• AI-Driven Responses: Uses OpenAI's language model to generate detailed answers based on video transcripts.
• Efficient Document Retrieval: Implements FAISS for fast and accurate search within video transcripts.

• Streamlit: For building the web interface.
• LangChain: For handling video transcripts and AI-based responses.
• OpenAI: For generating responses to user queries.
• FAISS: For efficient document retrieval and similarity search.
• Python: The programming language used.

1. Clone the Repository

   git clone https://github.com/iiTzMohit/YTQueryBot.git
   cd YTQueryBot

2. Create and Activate a Virtual Environment

   python -m venv venv
   source venv/bin/activate   # On Windows use `.venv/Scripts/Activate.ps1`

3. Install Dependencies

   pip install -r requirements.txt

4. Set Up Environment Variables

   OPENAI_API_KEY=your_openai_api_key
   

1. Run the Application

   streamlit run main.py

2. Open the Application

   • Open your web browser and go to https://localhost:8501.

3. Interact with the Application

   • Enter the YouTube video URL in the sidebar.
   • Ask a question about the video content.
   • Submit the form to receive a detailed response.

• main.py: Contains the Streamlit application code for the user interface and handling form submissions.
• langchain_helper.py: Includes functions for processing video transcripts, querying with OpenAI, and integrating FAISS for document retrieval.

This project was inspired by and developed based on the YouTube tutorial by @rishabincloud. Special thanks to @rishabincloud for providing detailed guidance and resources.

• YouTube Tutorial: LangChain Crash Course for Beginners

For any questions or issues, please reach out to [email protected].