Update app.py

app.py

@@ -29,6 +29,8 @@ def predict(inp):
     with torch.no_grad():
         prediction = torch.nn.functional.softmax(model(inp)[0], dim=0) 
     return {LABELS[i]: float(prediction[i]) for i in range(2)}
+    
+examples = [['VWUP.jpg']]
 
-iface = gr.Interface(predict, inputs=gr.inputs.Image(), outputs="label", title=title, description=description)
+iface = gr.Interface(predict, inputs=gr.inputs.Image(), outputs="label", title=title, description=description, examples=examples)
 iface.launch()