from transformers import AutoModelForQuestionAnswering,AutoTokenizer, pipeline

import gradio as grad
import ast

mdl_name = "deepset/roberta-base-squad2"

my_pipeline = pipeline('question-answering', model=mdl_name,tokenizer=mdl_name)

def answer_question(question,context):

    text= "{"+"'question': '"+question+"','context':'"+context+"'}"

    di=ast.literal_eval(text)

    response = my_pipeline(di)

    return response

grad.Interface(answer_question, inputs=["text","text"],outputs="text").launch()