app.py

from transformers import pipeline
import gradio as grad

model_name = "facebook/nllb-200-distilled-600M"
opus_translator = pipeline("translation", model=model_name, src_lang="eng_Latn", tgt_lang="kor_Hang")
# model_name = "Helsinki-NLP/opus-mt-tc-big-en-ko"
# opus_translator = pipeline("translation", model=model_name)

def translate(text):
    response = opus_translator(text)
    return response

grad.Interface(translate, inputs=["text"], outputs=["text"]).launch()