Update app.py

app.py

@@ -14,4 +14,4 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
     
 # Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['buildings.jpg','forest.jpg']).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['cangrejo.jpg','delfin.jpg']).launch(share=False)