app.py

from fastapi import FastAPI
import joblib
import numpy as np

# Load your model
model = joblib.load("linear_regression_model.joblib")

app = FastAPI()

@app.post("/predict")
def predict(input_data: list):
    # Convert input to numpy array and reshape if necessary
    input_array = np.array(input_data).reshape(1, -1)  # Adjust the shape based on your model's input
    prediction = model.predict(input_array)
    return {"prediction": prediction.tolist()}