model_loader.py

# model_loader.py
import os
import tensorflow as tf

# Use the existing local model file
MODEL_PATH = "model/efficientnetv2s.h5"

def load_model():
    if not os.path.exists(MODEL_PATH):
        raise FileNotFoundError(f"Model file not found at {MODEL_PATH}")
    
    print(f"Loading model from: {MODEL_PATH}")
    model = tf.keras.models.load_model(MODEL_PATH)
    print("Model loaded successfully!")
    return model