inference.py

import tensorflow as tf
import numpy as np

# Load model
model = tf.keras.models.load_model("mnist_ann_model.keras")

def predict_digit(image_array):
    # Expect shape (28, 28)
    image_array = image_array / 255.0
    image_array = np.expand_dims(image_array, axis=0)

    prediction = model.predict(image_array)
    return np.argmax(prediction)

# Example usage
if __name__ == "__main__":
    sample = np.random.rand(28, 28)
    print("Predicted digit:", predict_digit(sample))