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J's CodeBuddy AI 🤖

Overview

J's CodeBuddy AI is an advanced, multi-language programming assistant focused on Python and PowerShell code generation. Powered by CodeLlama-13B-Instruct, this application provides intelligent code generation, training data management, and AI comparison features.

🌟 Features

  • Multi-Language Support:

    • Python code generation
    • PowerShell script creation
    • Automatic language detection

  • AI-Powered Code Generation:

    • Contextual understanding
    • Code block generation
    • Explanation of generated code

  • Training Data Management:

    • Save and organize training examples
    • Compare responses from different AI systems
    • Filter and review training data

  • Customizable Settings:

    • Temperature control for creativity
    • Maximum token length
    • Language-specific prompts

🚀 Installation

Prerequisites

  • Python 3.8+
  • CUDA-capable GPU recommended
  • Hugging Face account

Setup Steps

  1. Clone the repository:
git clone https://github.com/JoshuaFourie/Codelama-Python.git
cd codebuddy-ai
  1. Create a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
  1. Install dependencies:
pip install -r requirements.txt
  1. Set up Hugging Face Token:
  • Go to Hugging Face Tokens
  • Create a new token with read access
  • Either set an environment variable: 
    export HUGGING_FACE_HUB_TOKEN='your_token_here'
    Or input the token when prompted during application startup

Running the Application

python launcher.py

🛠 Configuration

  • Modify theme.py to customize app branding
  • Adjust model configurations in model_manager.py

📊 System Requirements

  • Recommended:
    • GPU with 16GB+ VRAM
    • 32GB RAM
    • AMD Ryzen 7800X3D or equivalent
  • Minimum:
    • 16GB RAM
    • CUDA-capable GPU
    • Python 3.8+

🤝 Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📜 License

Distributed under the MIT License. See LICENSE for more information.

🙏 Acknowledgments