app.py

import gradio as gr
from transformers import pipeline

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

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

demo = gr.Interface(
    fn=fetch_answer,
    #take input as real time audio and use OPENAPI whisper for S2T
    inputs=[gr.Textbox(lines=2, placeholder="What is age of patient...",examples=['questiontest1','questiontest2']),
            gr.Textbox(lines=2, placeholder="The patient is a 71 year old male...", examples=['contexttest1','contexttest2'])],
    outputs="text",
)
demo.launch()