Update app.py

app.py

@@ -16,6 +16,6 @@ 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.Image(), outputs=gr.Label(num_top_classes=3),examples=['kurisu.jpg','mayuri.jpg']).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=3),examples=['kurisu.jpg','okabe.jpg']).launch(share=False)