Video Mind AI 🎥🧠

Videos to Insights, Instantly. ⚡

Video Processing | AI Summarization | Interactive Chat

Overview

This project combines OpenAI's Whisper for accurate speech-to-text transcription with LangChain's powerful language processing capabilities to create meaningful summaries of YouTube video content.

Demo

demo.mp4

Key Features

• 🎥 Multi-video Support: Process multiple YouTube videos simultaneously
• 📝 Smart Summarization: Get concise summaries of video content
• 💬 Interactive Chat: Ask questions about any of the processed videos
• 📜 Full Transcripts: Access complete transcripts of all videos
• ⚡ Fast Processing: Efficient parallel processing of videos
• 🔄 Video Management: Add or remove videos dynamically
• 📋 Copy Functionality: Easy copying of summaries and transcripts

How It Works

1. Video Processing: The system downloads YouTube videos and transcribes them using OpenAI's Whisper
2. Summarization: AI generates concise summaries of the video content
3. Interactive Chat: Ask questions about any video - the AI combines information from all processed videos
4. Management: Add or remove videos anytime through the sidebar

Project Structure

VideoMind-AI/
├── src/                  # Source code
│   ├── transcriber.py   # Handles video transcription using Whisper
│   ├── summarizer.py    # Manages text summarization with LangChain
│   └── utils.py         # Utility functions
│   └── chat.py          # Handles chat with AI
├── app.py               # Main Streamlit application
├── .gitignore           # Git ignore file
├── requirements.txt     # Project dependencies
├── README.md           # Project documentation
└── LICENSE             # MIT License

Technologies Used

• OpenAI's Whisper - For speech-to-text transcription
• LangChain - For AI chat and summarization
• Streamlit - For the web interface
• FFmpeg - For audio processing

Requirements

• Python 3.7+
• OpenAI API key
• FFmpeg
• Required Python packages (see requirements.txt)

Installation

1. Clone the repository:

git clone https://github.com/riyanshibohra/VideoMind-AI.git
cd VideoMind-AI

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install the required dependencies:

pip install -r requirements.txt

4. Set up environment variables: Create a .env file in the project root with the following:

OPENAI_API_KEY=your_api_key_here

Usage

1. Start the Streamlit application:

streamlit run app.py

2. Open your web browser and navigate to the provided local URL (typically http://localhost:8501)

3. Enter YouTube video URLs:

   • Add a single video URL in the sidebar
   • Or paste multiple URLs in the main interface
   • Click "Process Videos" to start analysis

4. Explore the features:

   • View summaries in the "Summaries" tab
   • Chat with AI about the videos in the "Chat" tab
   • Access full transcripts in the "Transcripts" tab
   • Manage videos through the sidebar

License

This project is licensed under the MIT License.