app.py

import gradio as gr
from chatbot_rag import get_answer   # import your function

def respond(message, history):
    """
    Respond function for Gradio ChatInterface.
    message: latest user query
    history: full chat history (list of [user, bot] pairs)
    """
    # Call your RAG pipeline
    response = get_answer(message)
    return response

    

# Simple Gradio Chat Interface
chatbot = gr.ChatInterface(
    fn=respond,
    type="messages",   # since your RAG returns plain text
    title="Harry Potter Wikipedia",
    description="Ask me anything from my knowledge base."
)

if __name__ == "__main__":
    chatbot.launch()