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