import gradio as gr from transformers import pipeline def greet(frase_en): pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es") return pipe(frase_en)[0]['translation_text'] demo = gr.Interface(fn=greet, inputs="text", outputs="text") demo.launch()