Update app.py

app.py

@@ -85,14 +85,14 @@ tfidf_model_path = 'X_tfidf_model.joblib'
 tfidf_vectorizer = joblib.load(tfidf_model_path)
 
 # Tambahkan widget untuk memilih model
-selected_model = st.selectbox("Pilih Model Sentimen:", ("Random Forest", "Naive Bayes", "Logistic Regression", "Ensemble"))
+selected_model = st.selectbox("Pilih Model Sentimen:", ("Ensemble", "Naive Bayes", "Logistic Regression"))
 
 # Fungsi untuk memilih model berdasarkan pilihan pengguna
 def select_sentiment_model(selected_model):
-    if selected_model == "Random Forest":
-        model_path = 'best_rf_model_smote.joblib'
-    elif selected_model == "Ensemble":
+    if selected_model == "Ensemble":
         model_path = 'ensemble_clf_soft_smote.joblib'
+    elif selected_model == "Random Forest":
+        model_path = 'best_rf_model_smote.joblib'
     elif selected_model == "Naive Bayes":
         model_path = 'naive_bayes_model_smote.joblib'
     elif selected_model == "Logistic Regression":