app.py

import gradio as gr
from transformers import pipeline, AutoTokenizer, AutoModelForQuestionAnswering

# Hugging Face 모델 로드
model_name = "distilbert-base-cased-distilled-squad"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForQuestionAnswering.from_pretrained(model_name)
qa_pipeline = pipeline("question-answering", model=model, tokenizer=tokenizer)

# Gradio 인터페이스 정의
iface = gr.Interface(
    fn=lambda question: qa_pipeline(question=question, context=context)["answer"],
    inputs=gr.Textbox(label="Enter a question"),
    outputs="text",
    live=True,
)

# 인터페이스 실행
iface.launch()