How-to Use GPT-4o for Media/Video Stream Capture and Analysis

How-to Use GPT-4o for Media/Video Stream Capture and Analysis

Project Overview

This project provides a web application that captures media streams from various sources such as a webcam, desktop, or specific applications. It captures frames at intervals and uses AI to analyze and summarize the frames, providing insights using GPT-4.

Demo Link (requires a openAi API Key)

Key Features

  • Media Stream Capture: Capture video streams from a webcam, screen, or specific applications.
  • Frame Analysis: Use OpenAI's GPT-4 to analyze captured frames for text, objects, context, and other details.
  • Customizable Prompts: Customize the prompt used for frame analysis.
  • API Integration: Integrate with OpenAI's API for frame analysis.

Project Structure

  • app.py: The main server-side application code using Quart.
  • templates/index.html: The HTML template for the web application.
  • static/script.js: The client-side JavaScript for handling media streams and interaction with the backend.

API Endpoints

  • GET /: Serves the main web application.
  • POST /process_frame: Processes a captured frame and returns the analysis result.

POST /process_frame

  • Request Body:
  • Response:

Potential Uses

  • Remote Monitoring: Capture and analyze video streams for remote monitoring applications.
  • Educational Purposes: Use AI to analyze and summarize educational video content.
  • Content Creation: Automate the analysis and summarization of video content for creators.

Customization

  • Prompts: Customize the analysis prompt via the settings panel in the web application.
  • Refresh Rate: Adjust the frame capture interval through the settings panel.
  • API Key: Configure the OpenAI API key via the settings panel.

Deployment

  1. Clone the Repository:
  2. Install Dependencies:
  3. Set Environment Variables:
  4. Run the Application:
  5. Access the Application: Open your web browser and navigate to https://localhost:5000.

requirements.txt

quart
opencv-python-headless
httpx
numpy
        

Contributing

Feel free to fork the repository and submit pull requests. For major changes, please open an issue first to discuss what you would like to change.

License

MIT


Pete Edstrom

Generative AI | Director of Technical Product at Optum | Team Builder & Problem Solver | 25 Years of Software Experience

10 个月

When monitoring your screen, what kind of insights do you prompt for? I’m struggling to imagine what an AI looking over my shoulder would do with the extra access to screen/video/etc.

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