Update app.py

app.py

@@ -17,4 +17,4 @@ 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=['n2010.jpg','n5015.jpg']).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['n2010.jpg','n5015.jpg'],description="n0 => mantled howler \n n1 => patas monkey \n n2 => bald uakari \n n3 => japanese macaque \n n4 => pygmy marmoset \n n5 => white headed capuchin \n n6 => silvery marmoset \n n7 => common squirrel monkey \n n8 => black headed night monkey \n n9 => nilgiri langur \n ").launch(share=False)