app.py

from fastapi import FastAPI
from pydantic import BaseModel
import joblib

app = FastAPI()

# Load model and vectorizer
model = joblib.load("final_model.pkl")
vectorizer = joblib.load("tfidf_vectorizer.pkl")

class InputData(BaseModel):
    purpose_text: str

@app.post("/classify")
def classify(data: InputData):
    vec = vectorizer.transform([data.purpose_text])
    pred = model.predict(vec)[0]
    return {"predicted_type": pred}