🎬 YouTube Video Summarizer

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A powerful AI-driven web application built with Streamlit that automatically extracts YouTube video transcripts and generates intelligent summaries using Groq's LLaMA 3.1 model. Transform long videos into concise, actionable insights in seconds!

✨ Key Features

🎯 Smart Video Processing

• Automatic transcript extraction using yt-dlp for reliable video processing
• Multi-language support for videos with available captions
• Robust error handling for private videos and missing transcripts
• Real-time processing with live progress indicators

🤖 AI-Powered Summarization

• Groq LLaMA 3.1-8B integration for high-quality summaries
• 4 Summary Styles:
  • 📝 General Summary - Comprehensive overview
  • 🔍 Detailed Summary - In-depth analysis with key points
  • 📋 Bullet Points - Quick, scannable format
  • 🎯 Key Takeaways - Essential insights and action items
• Smart text chunking for videos of any length (handles token limits automatically)
• Customizable parameters for advanced users

🎨 Modern User Interface

• Beautiful gradient design with dark/light mode support
• Responsive layout that works on all devices
• Interactive analytics showing word counts, compression ratios, and reading time
• One-click actions: Copy summary, download as text, or start over
• Expandable transcript viewer with proper formatting

📊 Analytics & Insights

• Real-time statistics: Original vs. summary word count
• Compression ratio showing efficiency gains
• Estimated reading time for quick planning
• Session analytics tracking your usage

🚀 Quick Start

Prerequisites

• Python 3.8 or higher
• Groq API key (free tier available)

Installation

1. Clone the repository

git clone https://github.com/bskrishna2006/Youtube-video-summarizer.git
cd Youtube-video-summarizer

2. Install dependencies

pip install -r requirements.txt

3. Set up environment variables

# Create .env file
echo "GROQ_API_KEY=your_groq_api_key_here" > .env

4. Run the application

streamlit run app.py

5. Open your browser and navigate to http://localhost:8501

🔧 Configuration

Environment Variables

Create a .env file in the project root:

GROQ_API_KEY=your_groq_api_key_here

Advanced Settings

The app includes customizable parameters for power users:

• Chunk Size: Adjust text processing size (default: 2500 chars)
• Max Summary Tokens: Control summary length (default: 500 tokens)
• Summary Style: Choose from 4 different formats

📖 Usage Guide

Basic Usage

1. Enter YouTube URL in the main input field
2. Select summary style from the sidebar (optional)
3. Click "🎯 Summarize Video" and wait for processing
4. Review your summary with statistics and full transcript access

Advanced Features

• Custom chunk sizes for handling very long videos
• Token limit adjustment for shorter/longer summaries
• Multiple summary formats for different use cases
• Session analytics to track your productivity

🛠️ Technical Architecture

Core Components

• Frontend: Streamlit with custom CSS for modern UI
• Video Processing: yt-dlp for reliable transcript extraction
• AI Engine: Groq LLaMA 3.1-8B for natural language processing
• Text Processing: Smart chunking algorithm for large transcripts

File Structure

youtube-video-summarizer/
├── app.py                 # Main Streamlit application
├── main.py               # Command-line version
├── requirements.txt      # Python dependencies
├── .env                 # Environment variables (create this)
├── README.md           # This file
└── assets/            # Screenshots and images

🎯 Use Cases

📚 Education

• Summarize lecture videos for quick review
• Extract key concepts from educational content
• Create study notes from video lessons

💼 Business

• Process webinar recordings efficiently
• Extract action items from meeting recordings
• Analyze competitor presentations

📺 Content Creation

• Research topics quickly from multiple videos
• Create content briefs from source material
• Analyze trending video content

🔬 Research

• Process interview recordings
• Extract insights from conference talks
• Analyze video testimonials

🤝 Contributing

We welcome contributions! Here's how you can help:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Development Setup

# Clone your fork
git clone https://github.com/YOUR_USERNAME/Youtube-video-summarizer.git

# Install development dependencies
pip install -r requirements.txt

# Run tests (if available)
python -m pytest tests/

📜 License

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

🙏 Acknowledgments

• Groq for providing excellent AI infrastructure
• Streamlit for the amazing web framework
• yt-dlp developers for reliable video processing
• LLaMA team for the powerful language model

📞 Support

• 🐛 Bug Reports: Open an issue
• 💡 Feature Requests: Start a discussion
• 📧 Contact: Email

⭐ Star History

If you find this project helpful, please consider giving it a star! It helps others discover the project.

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Made with ❤️ by Krishna

Transform any YouTube video into actionable insights!