Update functions.py

functions.py

@@ -35,10 +35,6 @@ def preprocess_text(text):
     lemmatized_clean = [word.translate(str.maketrans('', '', string.punctuation)) for word in lemmatized_words]
     return ' '.join(lemmatized_clean)
 
-def text_model(df):
-  df['preprocessed_text'] = df['Comment'].apply(preprocess_text)
-  return df['preprocessed_text']
-
 def prediction(model, X):
     model = load_model('best_model.keras')
     y_pred = model.predict(X)