a

app.py

@@ -56,10 +56,10 @@ def classify_image(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 image = gr.inputs.Image(shape=(256, 256))
-label = gr.outputs.Label(num_top_classes=5) # 45
+label = gr.outputs.Label(num_top_classes=5) 
 examples = ['images/airplane_002.jpg','images/airplane_003.jpg','images/airport_020.jpg','images/airport_075.jpg','images/bridge_679.jpg','images/cloud_227.jpg','images/freeway_159.jpg','images/forest_235.jpg']
 
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, interpretation="default", examples=examples)
-
-if __name__ == "__main__":
-   intf.launch(share=True) # ,inline=False
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(share=True)
+# if __name__ == "__main__":
+#    intf.launch(share=True) # ,inline=False