text: import tensorflow as tf
  
  
  def create_model(input_size, output_size):
      model = tf.keras.Sequential()
      model.add(tf.keras.layers.Dense(input_size, activation='relu'))
      model.add(tf.keras.layers.Dense(8, activation='relu'))
      model.add(tf.keras.layers.Dense(output_size))
      return model
  