Update app.py

app.py

@@ -5,7 +5,7 @@ import numpy as np
 import pickle
 import matplotlib.pyplot as plt
 from data_preparation import preprocess_data,data_imp
-from clustering import perform_clustering, plot_clusters,,summarize_cluster_characteristics
+from clustering import perform_clustering, plot_clusters,summarize_cluster_characteristics
 from feature_selection import select_features_pca, select_features_rfe, select_features_rf
 from sklearn.preprocessing import StandardScaler
 
@@ -51,7 +51,7 @@ def display_dataset_selection():
     return data
     
 # Function to display Modeling & Evaluation section
-def display_modeling_evaluation(insurance_defaults,banking_defaults,retail_defaults):
+def display_modeling_evaluation():
     dataset_choice = st.selectbox("Select Dataset", ("Insurance", "Retail", "Banking"))
     data = load_data(dataset_choice)
     data = preprocess_data(data)
@@ -156,7 +156,7 @@ def main():
         display_dataset_selection()
 
     elif choice == 'Modeling & Prediction':
-        display_modeling_evaluation(insurance_defaults,banking_defaults,retail_defaults)
+        display_modeling_evaluation()
 
 if __name__ == "__main__":
     main()