app.py

from transformers import pipeline
import gradio as grad
model_name = "Helsinki-NLP/opus-mt-en-de"
opus_translator = pipeline("translation", model=model_name)

def translate(text):
    response = opus_translator(text)
    return response
grad.Interface(translate, inputs=["text",], outputs="text").launch()

#Please make sure you have `sentencepiece` installed in order to use this tokenizer.