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()
text = grad.inputs.Textbox(placeholder="Let's chat together")
grad.Interface(fn=converse,
              theme="default",
              inputs=[text, "state"],
              outputs=["html", "state"],
              css=css).launch()