app.py

import gradio as gr
# from transformers import pipeline
gr.Interface.load("models/arunslb123/bert").launch()
# model_checkpoint = "arunslb123/bert"
# question_answerer = pipeline("question-answering", model=model_checkpoint)

# def answer_question(context, question):
#     answer = question_answerer(question=question, context=context)
#     return answer['answer']

# iface = gr.Interface(fn=answer_question, 
#                      inputs=["textbox", "textbox"], 
#                      outputs="text")