Chopsticks: AI-Powered Video Editing Platform

An AI-powered video editing platform designed to simplify content creation for streamers and content creators.

Project Structure

chopstickz/
├── webui/                          # Main Reflex web application
│   ├── __init__.py
│   ├── webui.py                    # Application entry point
│   ├── state.py                    # Application state management
│   ├── styles.py                   # Styling constants
│   └── components/                 # UI components
│       ├── __init__.py
│       ├── chat.py                 # Chat interface
│       ├── loading.py              # Loading indicator
│       ├── modal.py                # Modal dialogs
│       ├── navbar.py               # Navigation bar
│       ├── sidebar.py              # Sidebar drawer
│       └── video.py                # Video display and upload
├── tools/                          # Standalone tools
│   ├── __init__.py
│   └── video_editor.py             # PyQt5 video editor with LLM guidance
├── demo/                           # Demo applications
│   ├── __init__.py
│   └── showcase.py                 # Streamlit showcase app
├── assets/                         # Static assets
│   ├── custom_video_controls.js    # Video player controls
│   ├── favicon.ico
│   └── *.png, *.mp4                # Media files
├── rxconfig.py                     # Reflex configuration
├── requirements.txt                # Python dependencies
└── README.md

Features

• LLM-Powered Chat Interface: Natural language commands for video editing
• Video Upload and Display: Upload streams and view them with custom controls
• Multi-API Support: OpenAI and Baidu API integration
• Engagement Analysis: Analyzes viewer engagement using:
  • Voice transcription (Whisper)
  • Chat sentiment analysis (RoBERTa)
  • Facial expression recognition (DeepFace)
  • Key moment identification (T5)

Installation

1. Clone the repository:

   git clone https://github.com/Shrey1306/chopstickz.git
   cd chopstickz

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables:

   export OPENAI_API_KEY="your-api-key"
   # Or for Baidu:
   export BAIDU_API_KEY="your-api-key"
   export BAIDU_SECRET_KEY="your-secret-key"

Running the Application

Main Web Application (Reflex)

reflex run

The app will be available at http://localhost:3000

Demo Showcase (Streamlit)

streamlit run demo/showcase.py

Video Editor Tool (PyQt5)

python tools/video_editor.py

Development

Project Conventions

• Components in webui/components/ are single-responsibility
• State management centralized in webui/state.py
• Styles defined in webui/styles.py

License

MIT License