This is a Flask web application that extracts prompts from images and stores them in a database. It allows users to scan a directory for PNG files, extract prompts from them, and search for images based on prompts.
- Prompt Extraction: Automatically extracts prompts from images and stores them in a database.
- Search Functionality: Allows users to search for images based on prompts.
- Simple User Interface: Provides a clean and intuitive web interface for interacting with the application.
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Clone the repository:
git clone https://github.com/Lainupcomputer/PromtGallery.git
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Install dependencies:
pip install -r requirements.txt
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Set up environment variables:
SECRET_KEY: Secret key for Flask app (optional).SQLALCHEMY_DATABASE_URI: URI for the database (default is SQLite).
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Run the application:
python app.py
- Navigate to the application in your web browser (by default, it should be http://localhost:5000/).
- Click on the "Scan" button to scan the directory for PNG files and extract prompts from them.
- Use the search bar to search for images based on prompts.
- Click on images to view detailed prompt information.
Contributions are welcome! If you have any suggestions, bug reports, or feature requests, please open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.