app.py

import gradio as gr
from transformers import GPT2LMHeadModel, GPT2Tokenizer

from transformers import pipeline

pipe = pipeline("text-generation", model="ai-forever/mGPT-1.3B-turkmen")


def translate(text):
    return pipe(text)[0]["translation_text"]


with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
            english = gr.Textbox(label="English text")
            translate_btn = gr.Button(value="Translate")
        with gr.Column():
            russian = gr.Textbox(label="Russian Text")

    translate_btn.click(translate, inputs=english, outputs=russian, api_name="translate-to-russian")
    examples = gr.Examples(examples=["I went to the supermarket yesterday.", "Helen is a good swimmer."],
                           inputs=[english])

demo.launch()