In this revised version:

I've added hypothetical img_enhancement and img_repair pipelines for image quality enhancement and damage repair. You'll need to replace 'your_super_resolution_model' and 'your_image_repair_model' with actual models suitable for these tasks.
The process_image function now accepts additional boolean parameters to control whether image quality enhancement and damage repair should be applied.
The Gradio interface now includes checkboxes for users to select whether they want to enhance the image quality and repair damage, along with the image upload.

which models do you recommend for this task?

Ready to merge
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