import gradio as gr

def traductor(text):
    pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-es-en")
    return pipe(text)[0]['translation-text']

demo = gr.Interface(fn=traductor, inputs="text", outputs="text")
demo.launch(share=True)