updated code

app.py

@@ -10,8 +10,6 @@ def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
-# image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.Label()
 examples = ['dog.jpeg', 'cat.jpeg', 'elephant.jpeg']
 
 intf = gr.Interface(fn=classify_image,inputs=gr.Image(type="pil"), outputs=gr.Label(), examples=examples)