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title: CodeCraftLab | |
emoji: π | |
colorFrom: pink | |
colorTo: purple | |
sdk: streamlit | |
sdk_version: 1.43.2 | |
app_file: app.py | |
pinned: false | |
license: mit | |
short_description: A fine-tuning platform | |
datasets: | |
- angie-chen55/python-github-code | |
- sdiazlor/python-reasoning-dataset | |
- MatrixStudio/Codeforces-Python-Submissions | |
# CodeGen Hub π | |
[](https://replit.com/@replit/CodeGen-Hub)   | |
A streamlined platform for training and using code generation models with Hugging Face integration π€ | |
## β¨ Features | |
- π Upload and preprocess Python code datasets | |
- π οΈ Configure and train models with customizable parameters | |
- π‘ Generate code predictions using trained models | |
- π Monitor training progress with visualizations | |
- π Seamless integration with Hugging Face Hub | |
## π 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 | |
## π 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 | |
## π» Development | |
Run linting and tests: | |
```bash | |
./scripts/lint.sh | |
``` | |
## π License | |
MIT License - feel free to use and modify! | |
## π€ Contributing | |
Contributions welcome! Please check our contribution guidelines. | |
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Made with π using [Replit](https://replit.com) |