python save_model.py

import tensorflow as tf

# Assume you have a trained model already (replace with your own model code)
model = tf.keras.Sequential([
    tf.keras.layers.Dense(128, activation='relu', input_shape=(784,)),
    tf.keras.layers.Dense(10, activation='softmax')
])

# Save the model to a file
model.save('my_model.h5')  # Save in HDF5 format
print("Model saved successfully!")