Upload app.py

app.py

@@ -24,7 +24,7 @@ def classify_image(inp):
   confidences = {labels[i]: float(prediction[i]) for i in range(1000)}
   return confidences
 
-gr.Interface(fn=classify_image, 
+iface = gr.Interface(fn=classify_image, 
              inputs=gr.inputs.Image(shape=(224, 224)),
-             outputs=gr.outputs.Label(num_top_classes=3),
-             examples=["banana.jpg", "car.jpg"]).launch()
+             outputs=gr.outputs.Label(num_top_classes=3)).launch()
+iface.launch()