memperbaiki dependencies

experiments/08_sentimen_gap.py

@@ -1,6 +1,4 @@
 import os
-os.environ["TF_USE_LEGACY_KERAS"] = "1"  # Bypass Keras 3 & optree
-
 import re
 import numpy as np
 import pandas as pd
@@ -16,11 +14,11 @@ from sklearn.metrics import (
 )
 
 import tensorflow as tf
-import tf_keras as keras
-from tf_keras import layers
-from tf_keras.callbacks import EarlyStopping
-from tf_keras.preprocessing.text import Tokenizer  # type: ignore
-from tf_keras.preprocessing.sequence import pad_sequences
+from tensorflow import keras
+from tensorflow.keras import layers
+from tensorflow.keras.callbacks import EarlyStopping
+from tensorflow.keras.preprocessing.text import Tokenizer  # type: ignore
+from tensorflow.keras.preprocessing.sequence import pad_sequences
 
 # ============================================================
 # KONFIGURASI DIREKTORI PENYIMPANAN
@@ -159,7 +157,7 @@ print("SEL 9 — MODEL GAP")
 print("=" * 60)
 
 sent_model = keras.Sequential([
-    layers.Embedding(input_dim=VOCAB_SIZE, output_dim=EMBED_DIM, input_length=MAX_LEN),
+    layers.Embedding(input_dim=VOCAB_SIZE, output_dim=EMBED_DIM),
     layers.GlobalAveragePooling1D(),
     layers.Dense(64, activation="relu"),
     layers.Dropout(0.4),