2

app.py

@@ -9,4 +9,9 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3).launch(share=True))
+iface = gr.Interface(fn=predict,
+                      inputs=gr.inputs.Image(shape=(512, 512)),
+                        outputs=gr.outputs.Label(num_top_classes=3))
+iface.launch()
+    
+#.launch(share=True))