canstralian/CodeCraftLab

training and using code generation

Python

0

17 commits

updated Mar 12, 2026

See the code

README

CodeGen Hub πŸš€

Run on Replit Status Python

A streamlined platform for training and using code generation models with Hugging Face integration πŸ€—

✨ Features

  • πŸ“Š Upload and preprocess Python code datasets
  • πŸ› οΈ Configure and train models with customizable parameters
  • πŸ’‘ Generate code predictions using trained models
  • πŸ“ˆ Monitor training progress with visualizations
  • πŸ”„ Seamless integration with Hugging Face Hub

πŸš€ Getting Started

  1. Run the Streamlit app
  2. Upload your Python code dataset in the Dataset Management section
  3. Train your model in the Model Training section
  4. Generate code using your trained models in the Code Generation section

πŸ› οΈ Technology Stack

  • Streamlit for the web interface
  • PyTorch for model training
  • Hugging Face Transformers for code generation
  • Pandas for data handling
  • Plotly for visualizations

πŸ’» Development

Run linting and tests:

./scripts/lint.sh

πŸ“ License

MIT License - feel free to use and modify!

🀝 Contributing

Contributions welcome! Please check our contribution guidelines.


Made with πŸ’– using Replit

canstralian/CodeCraftLab

training and using code generation

Python

0

17 commits

updated Mar 12, 2026

See the code

README

CodeGen Hub πŸš€

Run on Replit Status Python

A streamlined platform for training and using code generation models with Hugging Face integration πŸ€—

✨ Features

  • πŸ“Š Upload and preprocess Python code datasets
  • πŸ› οΈ Configure and train models with customizable parameters
  • πŸ’‘ Generate code predictions using trained models
  • πŸ“ˆ Monitor training progress with visualizations
  • πŸ”„ Seamless integration with Hugging Face Hub

πŸš€ Getting Started

  1. Run the Streamlit app
  2. Upload your Python code dataset in the Dataset Management section
  3. Train your model in the Model Training section
  4. Generate code using your trained models in the Code Generation section

πŸ› οΈ Technology Stack

  • Streamlit for the web interface
  • PyTorch for model training
  • Hugging Face Transformers for code generation
  • Pandas for data handling
  • Plotly for visualizations

πŸ’» Development

Run linting and tests:

./scripts/lint.sh

πŸ“ License

MIT License - feel free to use and modify!

🀝 Contributing

Contributions welcome! Please check our contribution guidelines.


Made with πŸ’– using Replit