app.py

import sentencepiece
import gradio as gr
from transformers import pipeline

def translate(name):

    trans = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es", tokenizer="Helsinki-NLP/opus-mt-en-es")
    data_1 = trans(name)[0]["translation_text"]
    return data_1

demo = gr.Interface(fn=translate, inputs="text", outputs="text")

demo.launch()