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):
    di = {'question': question, 'context': context}
    response = my_pipeline(di)
    return response['answer']
grad.Interface(answer_question, inputs=["text","text"], outputs="text").launch()