Update app.py

app.py

@@ -16,5 +16,5 @@ 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=['NORMAL2-IM-0081-0001.jpeg','person135_bacteria_646.jpeg']).launch(share=True)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['NORMAL2-IM-0081-0001.jpeg','person135_bacteria_646.jpeg']).launch(share=False)