backend/main.py

import joblib
from fastapi import FastAPI
import pickle
import pandas as pd
import os
# main.py
# relative import
  # optional if using as module

app = FastAPI()
MODEL_PATH = "models/best_model.pkl"

# Train model if it doesn't exist
if os.path.exists(MODEL_PATH):
    model = joblib.load(MODEL_PATH)



# Load model


@app.get("/")
def read_root():
    return {"message": "Hello World"}

@app.get("/predict")
def predict(preg: int, glu: int, bp: int):
    df = pd.DataFrame([[preg, glu, bp]], columns=["Pregnancies","Glucose","BloodPressure"])
    pred = model.predict(df)[0]
    return {"prediction": int(pred)}