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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.

• 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

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

1. Clone the repository:

git clone https://github.com/JoshuaFourie/Codelama-Python.gitcd codebuddy-ai

2. Create a virtual environment:

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

3. Install dependencies:

pip install -r requirements.txt

4. Set up Hugging Face Token:

• Go toHugging 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

python launcher.py

• Modifytheme.py to customize app branding
• Adjust model configurations inmodel_manager.py

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

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

Distributed under the MIT License. SeeLICENSE for more information.

• Hugging Face
• CodeLlama
• Gradio