AutoPlay is a PyQt6-based application that generates videos from text prompts using advanced AI models. It features a multi-panel interface for managing multiple video generation tasks, a video grid for displaying and managing generated videos, and a resource monitor for tracking system performance.

• Multi-panel interface for managing multiple video generation tasks
• AI-powered video generation from text prompts
• Video grid for displaying and managing generated videos
• Resource monitor for tracking system performance
• Queue management for processing multiple video generation tasks
• Automatic dependency installation

• Python 3.8 or higher
• PyQt6
• OpenCV
• Other dependencies (will be installed automatically)

1. Clone the repository:

   git clone https://github.com/danaia/autoplay.git
   cd autoplay
   

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   

3. Install the required packages:

   pip install -r requirements.txt
   

1. Run the main application:

   python main.py
   

2. Use the interface to:

   • Add text prompts for video generation
   • Select output directory for generated videos
   • Process video generation tasks
   • View and manage generated videos in the video grid

autoplay/
├── core/
│   ├── ai_interface.py
│   ├── dependency_installer.py
│   └── video_generator.py
├── services/
│   └── pipeline_service.py
├── ui/
│   ├── main_window.py
│   ├── prompt_panel.py
│   ├── resource_monitor.py
│   ├── video_grid.py
│   └── video_player.py
├── utils/
│   └── logger.py
├── vids/
├── main.py
├── queue_manager.py
├── text-to-video.py
├── .gitignore
├── install.txt
└── requirements.txt

Contributions are welcome! Please feel free to submit a Pull Request.

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

• PyQt6 for the GUI framework
• OpenCV for video processing
• CogVideoX for the AI video generation model