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