app.py

import gradio as gr
from transformers import pipeline

model_ckpt = "HenryAI/KerasBERTv1"
fill_mask = pipeline("fill-mask", model=model_ckpt)  


def  cloze_task(text):
    preds = fill_mask(text)     
    return preds
    
    
answer = []      
description="Let's see if BERT has learnt how to write Keras!"
title="Keras BERT v1",
gradio_ui = gr.Interface(fn= cloze_task,
    title= title, description = description,
    inputs=[gr.inputs.Textbox(lines=3)],
    outputs=[gr.outputs.Textbox(label="Answer"),],
    examples=[["from tensorflow.keras import [MASK]"],],
    enable_queue=True
)
gradio_ui.launch(debug=True)