Upload app.py

app.py

@@ -14,7 +14,8 @@ def classify_image(img):
     return dict(zip(categories, map(float, probs)))
 
 # cell
-image = gr.Image(shape=(192, 192))
+
+image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
 examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 
@@ -22,4 +23,7 @@ intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=exa
 intf.launch(inline=False)
 
 #cell
+import gradio as gr
+#gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
+