Update app.py

app.py

@@ -9,7 +9,7 @@ from clustering import perform_clustering, plot_clusters,summarize_cluster_chara
 from feature_selection import select_features_pca, select_features_rfe, select_features_rf
 from sklearn.preprocessing import StandardScaler
 
-feature_descriptions,insurance_defaults,banking_defaults,retail_defaults=data_imp()
+insurance_feature_descriptions,bankng_feature_descriptions,retail_feature_descriptions,insurance_defaults,banking_defaults,retail_defaults=data_imp()
 
 def load_data(dataset_choice):
     if dataset_choice == "Insurance":
@@ -48,6 +48,10 @@ def display_dataset_selection():
     st.write(data.head())
     if dataset_choice=="Insurance":
         st.write(feature_descriptions)
+    elif dataset_choice=="Retail":
+        st.write(retail_feature_descriptions)
+    else:
+        st.write(bankng_feature_descriptions)
     return data
     
 # Function to display Modeling & Evaluation section