Update app.py

app.py

@@ -473,6 +473,7 @@ def nlp_pipeline(original_df):
     project_proposals = create_project_proposals(budget_cluster_df, problem_cluster_df, location_clusters, problem_clusters)
 
     console_messages.append("NLP pipeline completed.")
+    print("NLP pipeline completed.")
     return processed_df, budget_cluster_df, problem_cluster_df, project_proposals, location_clusters, problem_clusters
     
 
@@ -498,11 +499,11 @@ def process_excel(file):
 
         output_filename = "OutPut_PPs.xlsx"
         with pd.ExcelWriter(output_filename) as writer:
-            ### Convert project_proposals dictionary to DataFrame
-            project_proposals_df = pd.DataFrame.from_dict(project_proposals, orient='index', columns=['Solutions Proposed'])
-            project_proposals_df.index.names = ['Location_Cluster', 'Problem_Cluster']
-            project_proposals_df.reset_index(inplace=True)
-            project_proposals_df.to_excel(writer, sheet_name='Project_Proposals', index=False)
+            # ### Convert project_proposals dictionary to DataFrame
+            # project_proposals_df = pd.DataFrame.from_dict(project_proposals, orient='index', columns=['Solutions Proposed'])
+            # project_proposals_df.index.names = ['Location_Cluster', 'Problem_Cluster']
+            # project_proposals_df.reset_index(inplace=True)
+            # project_proposals_df.to_excel(writer, sheet_name='Project_Proposals', index=False)
             
             budget_cluster_df.to_excel(writer, sheet_name='Financial_Weights')
             problem_cluster_df.to_excel(writer, sheet_name='Problem_Descriptions')