app.py

import gradio as gr
from transformers import pipeline

# Load QA pipeline
qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")

def answer_question(context, question):
    result = qa_pipeline(question=question, context=context)
    return result['answer']

with gr.Blocks() as demo:
    gr.Markdown("## 📘 Question Answering App (Extractive QA)")

    context = gr.Textbox(
        lines=8, 
        placeholder="Paste a paragraph or article here...",
        label="Context Paragraph"
    )
    question = gr.Textbox(
        lines=2, 
        placeholder="Type your question here...",
        label="Question"
    )
    output = gr.Textbox(label="Answer")

    btn = gr.Button("Get Answer")
    btn.click(fn=answer_question, inputs=[context, question], outputs=output)

demo.launch()