Create save_model.py

save_model.py

@@ -0,0 +1,17 @@
+import os
+import tensorflow as tf
+from tensorflow.keras import layers, models
+
+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)
+])
+
+model.compile(optimizer='adam', loss='mse')
+model.save("model/clone_tts_model.h5")
+
+print("Model saved to model/clone_tts_model.h5")