app.py

from transformers import pipeline
import gradio as gr
pipe = pipeline("fill-mask", model="sagorsarker/bangla-bert-base")


def image_classifier(inp):

    dat=pipe(inp)
    suggested_word=[]
    for x in dat:
      suggested_word.append(x['token_str']+"                    "+str(x['score']))
    return 'Word'+"                    "+'Perchantage\n'+'\n '.join(suggested_word)


demo = gr.Interface(fn=image_classifier,inputs="text", outputs="text")
demo.launch()