🎥 Phidata Video AI Summarizer

🎯 Description

Video AI Summarizer is a powerful application that leverages Gemini 2.0 Flash Exp AI to analyze and extract insights from video content. This tool allows users to upload videos and ask specific questions about their content, receiving detailed AI-powered analyses and summaries. Additionally, the agent can utilize tools like DuckDuckGo to perform web searches related to the video, providing supplementary context and enhanced insights.

⭐ Features

• Video Upload & Processing
• AI-Powered Video Content Analysis
• Question-Based Insights Extraction
• Real-Time Processing Status Updates
• User-Friendly Interface
• Responsive Design
• Integration with Gemini 2.0 Flash Exp AI

🛠️ Technologies Used

• Python 3.x
• Streamlit - Web interface
• Google Generative AI - Video analysis
• Phidata - AI agent implementation
• DuckDuckGo Tool - Supplementary web research
• Python-dotenv - Environment variables management

📋 Prerequisites

• Python 3.x installed
• Google API key for Gemini AI
• Internet connection
• Conda virtual environment agenticai

💻 Installation

1. Clone the repository:

 git clone https://github.com/HMourad2023/Video-AI-Summarizer.git
 cd Video-AI-Summarizer

2. Activate the agenticai virtual environment:

 conda activate agenticai

3. Install required dependencies:

 pip install -r requirements.txt

4. Create a .env file in the root directory and add your Google API Key:

 GOOGLE_API_KEY=your_api_key_here

🚀 Usage

1. Start the application:

 streamlit run app.py

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

3. Follow the three-step process:

   • Upload your video
   • Enter your question about the video content
   • Click "Analyze Video" to receive AI-generated insights

📁 Project Structure

video-summarizer/
├── app.py                     # Main application file
├── src/
│   ├── agent.py               # AI agent configuration
│   ├── configure_page.py      # Streamlit page setup
│   ├── preprocess_video.py    # Video upload and processing
├── .github/                   # GitHub-specific files
├── LICENSE                    # Project license
├── README.md                  # Project documentation
├── .env                       # Environment variables
└── requirements.txt           # Project dependencies

⚙️ Configuration

The application can be configured through the following files:

• .env: Environment variables including API keys
• src/configure_page.py: Streamlit page settings

🔑 Environment Variables

• GOOGLE_API_KEY: Your Google API key for Gemini AI

📜 License

This project is licensed under the MIT License.

✍️ Authors

• Mourad Hamzaoui - Data Scientist

🙏 Acknowledgments

• 🤖 Gemini AI for video analysis capabilities
• ⚙️ Phidata for AI agent framework
• 🌐 Streamlit for web application framework