wut

app.py

@@ -23,8 +23,8 @@ 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 = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)