Update app.py

app.py

@@ -19,5 +19,5 @@ def predict(text):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 # Crear una interfaz de usuario para el modelo utilizando Gradio
-gr.Interface(fn=predict, inputs="text", outputs=gr.components.Label(num_top_classes=5)).launch(share=False)
+gr.Interface(fn=predict, inputs="text", outputs=gr.components.Label(num_top_classes=4)).launch(share=False)