Update model.py

model.py

@@ -1,17 +1,11 @@
-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)
+# 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')
 ])
 
-model.compile(optimizer='adam', loss='mse')
-model.save("model/clone_tts_model.h5")
-
-print("Model saved to model/clone_tts_model.h5")
+# Save the model to a file
+model.save('my_model.h5')  # Save in HDF5 format
+print("Model saved successfully!")