-

app.py

@@ -27,15 +27,16 @@ example_list = [["examples/" + example, example.split('_')[0]] for example in os
 
 # Create the Gradio demo
 # The output of the prediction must be in a dictionary format!
-demo = gr.Interface(fn=predict, # mapping function from input to output
-                    inputs=gr.Image(type="pil"), # what are the inputs?
-                    outputs=[gr.Label(num_top_classes=5, label="Predictions"), # what are the outputs?
-                             gr.Number(label="Prediction time (s)")], 
-                    examples=example_list, 
-                    title=title,
-                    description=description,
-                    example_labels=example_names)
+demo = gr.Interface(
+    fn=predict,  # mapping function from input to output
+    inputs=gr.Image(type="pil"),  # what are the inputs?
+    outputs=[gr.Label(num_top_classes=5, label="Predictions"),  # what are the outputs?
+             gr.Number(label="Prediction time (s)")], 
+    # examples=example_list, 
+    title=title,
+    description=description,
+    example_labels=example_names
+)
 
 # Launch the demo!
-demo.launch() # generate a publically shareable URL?d
-# ?d
+demo.launch()