| 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() |