app.py

import subprocess

# Install transformers library
subprocess.check_call(["pip", "install", "transformers"])
subprocess.check_call(["pip", "install", "torch"])

import gradio as gr
from transformers import pipeline

# Replace this with your own checkpoint
model_checkpoint = "huggingface-course/bert-finetuned-squad"
question_answerer = pipeline("question-answering", model=model_checkpoint)

def answer_question(question, context):
    answer = question_answerer(question=question, context=context)
    return answer['answer'], answer['score'], answer['start'], answer['end']


iface = gr.Interface(
    fn=answer_question,
    inputs=["text", "text"],
    outputs=["text", "number", "number", "number"],
    title="Extractive Question Answering"
)
iface.launch()