app.py

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

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

def answer2question(question, context):
    text = "{" + "'question': " + question + "','context': '" + context + "'}"
    di = ast.literal_eval(text)
    response = qa_pipeline(di)
    return response

grad.Interface(answer2question, inputs=["text", "text"], outputs="text").launch()