app.py

import gradio as gr
from transformers import pipeline

qa_model = pipeline("question-answering",'a-ware/bart-squadv2')

def fetch_answer(name):
    return qa_model(question = question, context = context)['answer']

demo = gr.Interface(
    fn=fetch_answer,
    inputs=gr.Textbox(lines=2, placeholder="Name Here..."),
    outputs="text",
)
demo.launch()