app.py

import gradio as gr
from transformers import AutoModelForSeq2SeqLM, NllbTokenizer


model_name = "sarahai/nllb-ru-uz"
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
tokenizer = NllbTokenizer.from_pretrained(model_name)

def translate(text, src_lang="rus_Cyrl", tgt_lang="uzn_Latn"):
    
    inputs = tokenizer(text, return_tensors="pt")
    translated = model.generate(**inputs)
    return tokenizer.batch_decode(translated, skip_special_tokens=True)[0]


interface = gr.Interface(
    fn=translate,
    inputs=[gr.Textbox(label="Text to Translate")],
    outputs="textbox",
    title="Русско-Узбекский Переводчик",
    description="Перевод русских текстов на узбекский с помощью `sarahai/nllb-ru-uz` model.",
)


interface.launch(share=True, debug=True)