app.py

from fastapi import FastAPI
from pydantic import BaseModel
import joblib

app = FastAPI()

try:
    model = joblib.load("model.pkl")
    print("Model loaded successfully.")
except Exception as e:
    print(f"Error loading model: {e}")
    model = None

class InputData(BaseModel):
    sepal_length: float
    sepal_width: float
    petal_length: float
    petal_width: float

@app.get('/')
def home():
    return {"Message: This is live API for tesing prediction"}

@app.post("/masala")
def prediction(data: InputData):
    features = [[
        data.sepal_length,
        data.sepal_width,
        data.petal_length,
        data.petal_width
    ]]

    result = model.predict(features)
    print(result)
    return {"Prediction": int(result[0])}