app.py

from fastapi import FastAPI
from pydantic import BaseModel
from fastapi.middleware.cors import CORSMiddleware

from services.predictor import predict_intent
from services.keyword import keyword_correction
from services.response import generate_response

app = FastAPI()

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

class QueryRequest(BaseModel):
    text: str


@app.get("/")
def root():
    return {"message": "Land Registry Chatbot API is running 🚀"}


@app.post("/predict")
def predict(request: QueryRequest):

    intent, confidence, probabilities = predict_intent(request.text)

    corrected_intent = keyword_correction(request.text, intent)

    response = generate_response(corrected_intent, request.text)

    return {
        "query": request.text,
        "predicted_intent": corrected_intent,
        "confidence": round(confidence, 3),
        "response": response,
        "probabilities": probabilities.tolist()
    }