{"id":21996710,"url":"https://github.com/nstechbytes/mini-gradient","last_synced_at":"2025-03-23T04:43:00.621Z","repository":{"id":260100530,"uuid":"861709267","full_name":"NSTechBytes/Mini-Gradient","owner":"NSTechBytes","description":"Mini Gradient is a GUI application built with PyQt5 that allows users to apply linear gradients to multiple PNG images. 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Users can select gradient colors, adjust image resolution, and save the modified images in a specified output folder.\n\n## Features\n\n- Select multiple PNG images for processing.\n- Choose two colors for the gradient using RGB input or color picker.\n- Set the image resolution to original or custom dimensions.\n- Display a progress bar showing the processing progress.\n- Save processed images in the output folder with their original names.\n- Reset the GUI after the operation completes.\n\n- ## Screenshots\n![Mini Pixel Screenshot](https://github.com/NSTechBytes/Projects-Templates/blob/main/Applications/Mini%20Gradient/Mini%20Gradient.png)\n\n## Requirements\n\n- Python 3.x\n- PyQt5\n- Pillow (PIL)\n\nYou can install the required libraries using pip:\n\n```bash\npip install PyQt5 Pillow\n```\n\n## Usage\n\n1. Clone the repository:\n    ```bash\n    git clone https://github.com/NSTechBytes/Mini-Gradient.git\n    cd MiniGradient\n    ```\n\n2. Run the application:\n    ```bash\n    python Mini Gradient.py\n    ```\n\n3. Use the GUI to:\n   - Select PNG images.\n   - Pick gradient colors.\n   - Choose the output folder.\n   - Apply the gradient and save the images.\n\n## Icons\n\nEnsure you have the icons required for the application in an `icons` folder in the same directory as the script.\n\n## License\n\nThis project is licensed under the Appache License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n\n- Thanks to the contributors and libraries that made this project possible.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnstechbytes%2Fmini-gradient","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnstechbytes%2Fmini-gradient","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnstechbytes%2Fmini-gradient/lists"}