Gradio Adjustment 2

app.py

@@ -12,8 +12,6 @@ def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-label = gr.outputs.Label()
-examples = ['dog.jpg','cat.jpg']
 
-intf = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(192,192)), outputs=label, examples=examples)
+intf = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(192,192)), outputs=gr.outputs.Label(), examples=['dog.jpg','cat.jpg'])
 intf.launch(inline=False)