🎥 UTube Video Analysis Agent

A powerful Streamlit-based application that leverages AI to provide in-depth analysis of YouTube videos, perfect for researchers, content creators, and educators.

✨ Key Features

• Smart Content Analysis: Automatically identifies video type, structure, and key moments
• Intelligent Timestamping: Creates precise, meaningful timestamps for easy navigation
• Multiple Analysis Templates: Specialized analysis modes for tutorials, educational content, reviews, and creative content
• Customizable Analysis: Flexibility to tailor analysis prompts to specific needs
• User-Friendly Interface: Clean, intuitive design with collapsible sections and clear prompts

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🚀 Quick Start

Prerequisites

python >= 3.7
streamlit
agno
python-dotenv

Installation

1. Clone the repository:

git clone https://github.com/deepakmalikk/UTube_Agent.git
cd UTube_Agent

2. Install dependencies:

pip install -r requirements.txt

3. Set up environment variables:

# Create .env file and add your OpenAI API key
echo "OPENAI_API_KEY=your_api_key_here" > .env

4. Run the application:

streamlit run app.py

🎯 Use Cases

• Educators: Create detailed lesson summaries and study guides
• Content Creators: Analyze competitor videos and industry trends
• Researchers: Extract key information and timestamps from lectures
• Students: Generate comprehensive notes from educational content
• Product Reviewers: Break down review videos into feature comparisons

🛠️ Technical Architecture

Core Components

• Agent System: Utilizes the agno framework for intelligent content analysis
• YouTube Tools: Integrated YouTube API tools for video metadata extraction
• Streamlit UI: Responsive and interactive user interface
• Template Engine: Customizable analysis templates for different content types

Analysis Pipeline

Video Processing

• Metadata extraction
• Content type identification
• Structure analysis

Content Analysis

• Automated timestamping
• Topic segmentation
• Key point extraction

Output Generation

• Structured markdown output
• Interactive expandable sections
• Error handling and validation

🎨 Analysis Templates

Type	Focus Use Case	Example
💻 Tutorial	Code examples & implementation steps	Programming tutorials, how-to guides
📚 Educational	Learning material & key concepts	Lectures, educational videos
📱 Review	Product features & comparisons	Tech reviews, product demonstrations
🎨 Creative	Techniques & methods	Art tutorials, design workflows

🔒 Security

• Secure API key handling through environment variables
• Input validation and sanitization
• Error handling and graceful failure modes

🚀 Deployment

🔗 Live Demo: [https://utubeagent.streamlit.app/]

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

📝 License

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

🙏 Acknowledgments

• Built with Streamlit
• Powered by Agno Framework
• YouTube data analysis tools

📧 Contact

For support or inquiries, please open an issue or contact [[email protected]]