app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-to-image", model="sunsean/Histoformer")

def predict(input_img):
    prediction = pipeline(input_img)
    return input_img, prediction 

gradio_app = gr.Interface(
    predict,
    inputs=gr.Image(label="Upload images with adverse weather degradations", sources=['upload', 'webcam'], type="pil"),
    outputs=gr.Image(label="Processed Image"),
    title="Image Restoration for All-in-one Adverse Weather",
)

if __name__ == "__main__":
    gradio_app.launch()