app.py

import gradio as gr 
from transformers import pipeline

def traduce(Frase):
    pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ca")
    frase_ca = pipe(Frase)
    return frase_ca[0]['translation_text']

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