app.py

import gradio as gr
from transformers import pipeline

# Initialize the custom pipeline
qa_pipeline = pipeline("question-answering")

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

# Define the Gradio interface
interface = gr.Interface(fn=answer_question, inputs=["text", "text"], outputs="text")

# Launch the interface
interface.launch()