app.py

from fastapi import FastAPI, Request
import gradio as gr
from chatbot_functions import DataProcessor, Chatbot

# Initialize
data_processor = DataProcessor()
chatbot = Chatbot(data_processor)

app = FastAPI()

@app.post("/api/chat")
async def chat(request: Request):
    data = await request.json()
    message = data.get("message", "").strip()

    if not message:
        return {"reply": "Please enter a valid question."}

    best_question, response, source = chatbot.get_response(message)
    if best_question == "UNKNOWN":
        return {"reply": response}
    else:
        return {
            "reply": f"Matched question: {best_question}\nAnswer: {response}\nSource: {source}"
        }

# Gradio UI (optional for Hugging Face Space)
iface = gr.ChatInterface(
    fn=lambda msg, history=None: chatbot.get_response(msg)[1],
    title="Care Companion Chatbot"
)

import threading
threading.Thread(target=lambda: iface.launch(server_name="0.0.0.0", server_port=7860, share=False)).start()