Add file

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+pipeline = pipeline(task="image-to-image", model="sunsean/Histoformer")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+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()