lecture-summarizer

AI Audio/Video Transcription and Summarization with RAG

This project is an AI-powered tool that transcribes audio files from various sources, including YouTube videos and other downloaded audio/video formats. The transcriptions are saved to a Chroma database for storage and retrieval.

Key Features:

• Audio/Video Transcription: Automatically transcribes audio from YouTube videos and other audio/video files.
• Chroma Database Integration: Transcriptions are stored in a Chroma database.
• Transcription Summarization: Provides concise summaries of the transcriptions to quickly extract key information in a short form.
• RAG-Enabled ChatBot: Includes a user-friendly interface built with Streamlit. Users can interact with the chatbot, which leverages Retrieval-Augmented-Generation (RAG) to answer questions about the transcriptions or video content.

Use Cases:

• Transcribe and summarize long audio or video content for research or note-taking.
• Ask questions about the video or transcription through a chatbot interface, powered by RAG to provide context-aware answers.
• Efficiently manage large amounts of transcribed data using the Chroma database.

Getting Started:

1. Clone the repository.
2. Install the required dependencies.
3. Navigate to the local repository in terminal or command prompt
4. Enter streamlit run lecture_summarizer.py

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This tool is perfect for anyone who needs an AI assistant to help with transcribing and summarizing large volumes of video or audio content while allowing for intuitive querying through a chatbot interface.