Gradio Adjustment 1

app.py

@@ -12,9 +12,8 @@ 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()
 examples = ['dog.jpg','cat.jpg']
 
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(192,192)), outputs=label, examples=examples)
 intf.launch(inline=False)