Update app.py

app.py

@@ -30,7 +30,7 @@ def predict(inp):
         prediction = torch.nn.functional.softmax(model(inp)[0], dim=0) 
     return {LABELS[i]: float(prediction[i]) for i in range(2)}
     
-examples = [['fiat500.jpg']]
+examples = [['fiat500.jpg'],['VWUP.jpg']]
 
 interface = gr.Interface(predict, inputs=gr.inputs.Image(), outputs="label", title=title, description=description, examples=examples, cache_examples=False)
 interface.launch()