---
title: Pytorch Issues Deployment
emoji: 🚀
colorFrom: pink
colorTo: green
sdk: gradio
sdk_version: 5.29.1
app_file: app.py
pinned: false
---

# Space Card for `mayankpuvvala/pytorch_issues_deployment`

This Hugging Face Space provides an interactive Gradio interface for generating GitHub issue bodies from issue titles using the fine-tuned T5-small model.

## Space Details

- **Developed by:** Mayank Puvvala
- **License:** MIT
- **Model Used:** [peft_lora_t5_merged_model_pytorch_issues](https://huggingface.co/mayankpuvvala/peft_lora_t5_merged_model_pytorch_issues)
- **Code:** [GitHub](https://github.com/mayankpuvvala/LLM_FineTune_GenAI)
## How to Use

1. Enter a GitHub issue title related to PyTorch.
2. Click "Submit" to generate a detailed issue body.

### Example

- **Input:** `Memory leak when using DataLoader with num_workers > 0`
- **Output:** A detailed description outlining the issue, steps to reproduce, expected behavior, and actual behavior.

## Technical Details

- **Frontend:** Gradio
- **Backend:** PyTorch with Transformers
- **Deployment:** Hugging Face Spaces

## Citation

If you use this Space, please cite:

```bibtex
@misc{mayankpuvvala2025pytorchissuesdeployment,
  title={PyTorch Issues Deployment Space},
  author={Mayank Puvvala},
  year={2025},
  howpublished={\url{https://huggingface.co/spaces/mayankpuvvala/pytorch_issues_deployment}},
}
```
# Contact
- For questions or feedback, please contact Mayank Puvvala.
- Feel free to integrate these model cards into your Hugging Face repositories. Let me know if you need further assistance or modifications!
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