commit from ssq

app.py

@@ -32,7 +32,7 @@ def predict(input_img):
     save_img(output_path, img_as_ubyte(restored))
 
 example_images = [
-    "examples/example.jpeg",
+    "examples/example.jpg",
 ]
 gradio_app = gr.Interface(
     predict,
@@ -41,7 +41,7 @@ gradio_app = gr.Interface(
         gr.Image(type="filepath", label="Restored image", height=768, width=768),
         gr.Textbox(label="Error Message")
     ],
-    title="Image Restoration for All-in-one Adverse Weather",
+    title="Histoformer: All-in-one Image Restoration under Adverse Weather Conditions",
     description="[Histoformer](https://huggingface.co/sunsean/Histoformer/) is a image restoration model for all-in-one adverse weather.",
     examples=example_images
 )