from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
import gradio as grad
import ast

model_name = "deepset/roberta-base-squad2"
my_pipeline = pipeline('question-answering', model=model_name, tokenizer=model_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()