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=4),examples=['10000.png','10007.png']).launch()
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=4),examples=['10000.jpg','10007.jpg']).launch()