README.md

---
title: Flux Trainer
emoji: 🐨
colorFrom: green
colorTo: red
sdk: gradio
sdk_version: 5.33.0
app_file: app.py
pinned: false
short_description: 'Flux-Trainer '
---

# Flux Trainer

Flux Trainer is a powerful AI tool suite designed to facilitate training and deployment of machine learning models with ease. This project leverages Gradio for creating interactive web interfaces, enabling users to quickly experiment with AI models and visualize results.

## Features

- Interactive model training and evaluation
- Integration with Gradio for easy web-based UI
- Support for image gallery and storage management
- Utilities for replicating model calls and handling backblaze storage

## Installation

1. Clone the repository:
   ```bash
   git clone https://github.com/yourusername/Flux-Trainer.git
   cd Flux-Trainer
   ```

2. Install the required dependencies:
   ```bash
   pip install -r requirments.txt
   ```

## Usage

To start the application, run the following command:
```bash
python Gradio_gen_app.py
```

This will launch the Gradio web interface where you can interact with the Flux Trainer tools.

## Contributing

Contributions are welcome! Please open issues or submit pull requests for improvements and new features.

## License

This project is licensed under the MIT License.

## Additional Resources

Check out the configuration reference at [Hugging Face Spaces Config Reference](https://huggingface.co/docs/hub/spaces-config-reference)