Dataset Prompt Extractor

Dataset Prompt Extractor is a PyQt5-based GUI application designed to extract prompts from files inside a dataset folder. The tool will normalize the text and add <lora:{chosen-lora}:1> tag to allow a fast testing of your dataset using sd-webui-forge "Prompts from file or textbox" script.

Manual installation & Setup

1. Clone the Repository

git clone https://github.com/ImKyra/DatasetPromptExtractor
cd DatasetPromptExtractor

2. Run the script

For Linux/macOS:

./run_gui.sh

For Windows:

.\run_gui.bat

File Structure

/project-directory
│
├── run.py                  # Main file to run the GUI application
├── run_gui.sh              # Shell script for running the app on Linux/Mac
├── run_gui.bat             # Batch script for running the app on Windows
├── DatasetExtractor.py     # Core processing logic for dataset text files
├── requirements.txt        # Python dependency requirements
└── README.md               # Project documentation

Contributing

1. Fork the repository.
2. Create your feature branch (git checkout -b feature/new-feature).
3. Commit your changes (git commit -m 'Add new feature').
4. Push your branch (git push origin feature/new-feature).
5. Submit a pull request.

License

This project is licensed under the MIT License.