Update app.py

app.py

@@ -96,8 +96,8 @@ def load_dictionary(file_path, file_type='json'):
         df = pd.read_csv(file_path, names=['slang', 'formal'])
         return pd.Series(df['formal'].values, index=df['slang']).to_dict()
 
-ntb_dict = load_dictionary('/content/ntb_dict.json', 'json')
-slang_dict = load_dictionary('/content/kamusalay.csv', 'csv')
+ntb_dict = load_dictionary('ntb_dict.json', 'json')
+slang_dict = load_dictionary('kamusalay.csv', 'csv')
 
 # === Utility Functions === #
 # Fungsi untuk memperbarui file JSON dengan riwayat update
@@ -657,8 +657,8 @@ menu = st.sidebar.radio("Select a Feature", ["Model-Based Classification","Clust
 if menu == "Model-Based Classification":
     st.title("Model-Based Classification")
     candidate = st.selectbox("Choose a candidate:", candidate_list)
-    model_path = f"/content/best_rf_model_{candidate.replace(' ', '_').lower()}.joblib"
-    vectorizer_path = f"/content/tfidf_vectorizer_{candidate.replace(' ', '_').lower()}.joblib"
+    model_path = f"best_rf_model_{candidate.replace(' ', '_').lower()}.joblib"
+    vectorizer_path = f"tfidf_vectorizer_{candidate.replace(' ', '_').lower()}.joblib"
 
     # Save the selected candidate to session state
     st.session_state['candidate'] = candidate
@@ -1456,12 +1456,12 @@ if menu == "Maximize Preprocessing":
         # Save Updates to File
         st.subheader("Save Updated Dictionaries")
         if st.button("Save Kamus Alay"):
-            kamus_alay_path = '/content/kamusalay.csv'  # Adjust the path as needed
+            kamus_alay_path = 'kamusalay.csv'  # Adjust the path as needed
             pd.DataFrame(list(slang_dict.items()), columns=["slang", "formal"]).to_csv(kamus_alay_path, index=False)
             st.success(f"Kamus Alay saved successfully to {kamus_alay_path}.")
 
         if st.button("Save Kamus ntb"):
-            kamus_ntb_path = '/content/ntb_dict.json'  # Adjust the path as needed
+            kamus_ntb_path = 'ntb_dict.json'  # Adjust the path as needed
             with open(kamus_ntb_path, 'w', encoding='utf-8') as f:
                 json.dump(ntb_dict, f, indent=4)
             st.success(f"Kamus ntb saved successfully to {kamus_ntb_path}.")