app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
import torch

model_checkpoint = "japanese-denim/mbart-50-finetuned-eng-to-naga"
model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)
tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)


# src_lang = 'en_XX'
# tgt_lang = "ng_XX"


def translate(text):
    translation_pipeline = pipeline("translation",
                                    model=model,
                                    tokenizer = tokenizer,
                                    src_lang='en_XX',
                                    tgt_lang='ng_XX')

    result = translation_pipeline(text)
    return result[0]['translation_text']
    


gr.Interface(
    translate,
    [
        gr.components.Textbox(label="input", placeholder = "Enter English sentence here")
    ],
    ["text"],
).launch()