commit from ssq

app.py

@@ -28,12 +28,19 @@ def preprocess(file_, factor = 8):
 def predict(input_img):
     prediction = model_restoration(preprocess(input_img))
     return input_img, prediction 
-
+example_images = [
+    "examples/lemur.jpg",
+]
 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"),
+    inputs=gr.Image(label="Upload images with adverse weather degradations", type="filepath"),
+    outputs=[
+        gr.Image(type="filepath", label="Inverse Depth Map", height=768, width=768),
+        gr.Textbox(label="Focal Length or Error Message")
+    ],
     title="Image Restoration for All-in-one Adverse Weather",
+    description="[Histoformer](https://huggingface.co/sunsean/Histoformer/) is a image restoration model for all-in-one adverse weather.",
+    examples=example_images
 )
 
 if __name__ == "__main__":