Updated syntax to new gradio version

app.py

@@ -9,8 +9,8 @@ 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()
+image = gr.Image(shape=(192,192))
+label = gr.Label()
 examples = ['trump.jpg', 'baldwin.jpg', 'closecall.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)