app.py

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, input=["text","text"], outputs="text").launch()