import joblib
import pandas as pd

# Load the pipeline and model
pipeline = joblib.load('full_pipeline_with_unit_price.pkl')
model = joblib.load('best_model.pkl')

def make_prediction(input_features):
    # Assuming input_features is a DataFrame with the correct structure
    processed_features = pipeline.transform(input_features)
    prediction = model.predict(processed_features)
    return prediction[0]