| import gradio as gr | |
| import torch | |
| from PIL import Image | |
| # Define your function to process the image | |
| def process_image(image): | |
| # Process the image here (e.g., apply transformations, run inference) | |
| # Return the processed image | |
| return image | |
| # Define Gradio interface | |
| inputs = gr.inputs.Image(label="Upload Image") | |
| outputs = gr.outputs.Image(label="Processed Image") | |
| # Create interface | |
| gr.Interface(fn=process_image, inputs=inputs, outputs=outputs, title="Image Processor").launch() | |