"""classify.py

This module classifies the input image.

"""

import numpy as np
import tensorflow as tf
from tensorflow.keras.preprocessing import image

# Load the trained model
import os

script_directory = os.path.dirname(os.path.abspath(__file__))
model_path = os.path.join(script_directory, '../../models/football_logo_model.h5')

model = tf.keras.models.load_model(model_path)

def preprocess_image(img):
    """
    Preprocess the input image for model prediction.

    Args:
        img: Input image.

    Returns:
        img: Preprocessed image.
    """
    img = image.img_to_array(img)
    img = np.expand_dims(img, axis=0)
    img /= 255.0
    return img

# Define the class names (replace with your actual class names)
class_names = ['Arsenal', 'Chelsea', 'Liverpool', 'Manchester City', 'Manchester United']

def classify_logo(img):
    """
    Classify the football logo in the input image.

    Args:
        img: Path to the input image.

    Returns:
        str: The predicted class of the football logo.
    """
    img_path = img
    img = image.load_img(img_path, target_size=(224, 224))
    img = image.img_to_array(img)
    img = preprocess_image(img)
    prediction = model.predict(img)
    predicted_class_index = prediction.argmax(axis=1)[0]
    predicted_class_name = class_names[predicted_class_index]  # Map index to name
    return predicted_class_name