test app.py

app.py

@@ -1,11 +1,11 @@
 import pickle
 import gradio as gr
 import tensorflow as tf
-#from sklearn.model_selection import train_test_split
-#from sklearn.preprocessing import LabelEncoder
+from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import LabelEncoder
 from tensorflow import keras
-#from keras.models import Sequential
-#from keras.layers import Embedding, LSTM, Dense
+from keras.models import Sequential
+from keras.layers import Embedding, LSTM, Dense
 
 with open("word_guessing.pkl", "rb") as f:
     model_standardform = pickle.load(f)