Update app.py

app.py

@@ -38,4 +38,4 @@ import gradio as gr
 gr.Interface(fn=predict,
        inputs=gr.Image(type="pil"),             # creates the component and handles the preprocessing to convert that to a PIL image
        outputs=gr.Label(num_top_classes=3),     #a Label, which displays the top labels in a nice form. Since we don't want to show all 1,000 class labels, we will customize it to show only the top 3 images by constructing it as 
-       examples=["lion.jpg", "cheetah.jpg"]).launch()
+       examples=["lion.jpg", "cheetah.jpg"]).launch(share=True)