AI Video Summarizer

This is a Video Summarizer application that uses Agentic AI with Phidata and Google Gemini AI to analyze video content and generate meaningful summaries. The app also supports querying the video content using an AI-powered agent integrated with tools for web searches to enhance its responses.

Features

• Video Summarization: Upload a video file and get a detailed summary of its content.
• Query-Based Insights: Ask questions about the video and receive intelligent answers.
• Web Search Integration: Perform supplementary web searches for additional context related to the video content.
• Cloud Integration: Option to handle large video files by streaming them to cloud storage like AWS S3.

Technology Stack

• Frontend: Streamlit for an interactive user interface.
• AI Model: Google Gemini AI (Gen 2.0 Flash experimental model).
• Other Tools:
  • DuckDuckGo Search for web queries.
  • Cloud platforms (AWS, GCP) for large file handling.

Installation

1. Clone the repository:

   git clone https://github.com/your-repo/video-summarizer.git
   cd video-summarizer
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Set up environment variables:

• Create a .env file.
• Add your Google Gemini AI API key:

  GOOGLE_API_KEY=your_api_key
  

Usage

Run the Application

To start the application, use the following command:

streamlit run app.py

• Open the application in your browser.
• Upload a video file (max 200 MB). For larger files, follow the cloud integration steps.
• Use the query box to ask questions about the video or summarize its content.
• Analyze results directly in the app.

Feedback

If you have any feedback, please reach out to us at midhunbose2017@gmail.com