Update app.py

app.py

@@ -76,8 +76,7 @@ def normalize_slang(text, slang_dict):
     return ' '.join(normalized_words)
 
 # Fungsi untuk ekstraksi fitur TF-IDF
-@st.cache_data
-def extract_tfidf_features(texts, _tfidf_vectorizer):
+def extract_tfidf_features(texts, tfidf_vectorizer):
     tfidf_matrix = tfidf_vectorizer.transform(texts)
     return tfidf_matrix
 
@@ -104,8 +103,8 @@ def select_sentiment_model(selected_model):
 
 
 # Fungsi untuk prediksi sentimen
-@st.cache_data
-def predict_sentiment(text, _model, _tfidf_vectorizer, slang_dict):
+
+def predict_sentiment(text, model, tfidf_vectorizer, slang_dict):
     # Tahap-1: Membersihkan dan normalisasi teks
     cleaned_text = clean_text(text)
     norm_slang_text = normalize_slang(cleaned_text, slang_dict)