import tensorflow as tf
from tensorflow.keras import layers, models
import os

os.makedirs("model", exist_ok=True)

model = models.Sequential([
    layers.Input(shape=(100,)),
    layers.Dense(256, activation='relu'),
    layers.Dense(128, activation='relu'),
    layers.Dense(80)
])

# Corrected indentation for these two lines
model.compile(optimizer='adam', loss='mse')  
model.save("model/clone_tts_model.h5")