app.py

import gradio as gr
from transformers import pipeline

# Cargar el modelo
model = pipeline('sec2sec', model='nlmaldonadog/mbart-clarification-P8')

def predict(text):
    return model(text)[0]['generated_text']

iface = gr.Interface(fn=predict, inputs=[gr.Textbox(placeholder='Escribe aquí...')], outputs="text")
iface.launch(share=True)