app.py

import gradio as gr
from transformers import pipeline

fill_mask=pipeline("fill-mask", model="blinoff/roberta-base-russian-v0")

def predict_mask (sentence):
  result=fill_mask(sentence,top_k=3)
  outputs=[f"{r['token_str']},{round(r['score'],3)}" for r in result]
  return '\n'.join(outputs)

def predict_mask1(sentence):
  result=fill_mask(sentence,top_k=3)
  token=[f"{r['token_str']}"for r in result]
  score=[f"{round(r['score'],3)}" for r in result]
  return token,score

demo=gr.Interface(
    fn=predict_mask,
    inputs=gr.Textbox(label='Текст',placeholder='Москва - <mask> России'),
    outputs=gr.Textbox(label='Вариант заполнения'),
    title='Ввод предложений',
    description='Вводи предложение с маской',
    token=[f"r['token_str']"]
)
demo.launch(debug=True)