Update app.py

app.py

@@ -382,6 +382,8 @@ def generate_project_proposal(problem_descriptions, location, problem_domain):
     return proposal
 
 def create_project_proposals(budget_cluster_df, problem_cluster_df, location_clusters, problem_clusters):
+    print("\n Starting function: create_project_proposals")
+    console_messages.append("\n Starting function: create_project_proposals")
     proposals = {}
     for loc in budget_cluster_df.index:
         for prob in budget_cluster_df.columns:
@@ -395,7 +397,7 @@ def create_project_proposals(budget_cluster_df, problem_cluster_df, location_clu
                     location, 
                     problem_domain)
                 proposals[(loc, prob)] = proposal
-    
+    console_messages.append("\n Exiting function: create_project_proposals")
     return proposals
 
 
@@ -462,6 +464,7 @@ def nlp_pipeline(original_df):
     # Create cluster dataframes
     budget_cluster_df, problem_cluster_df = create_cluster_dataframes(processed_df)
 
+    print("Clustering Done...")
     # return processed_df, budget_cluster_df, problem_cluster_df, location_clusters, problem_clusters
 
     # # Generate project proposals
@@ -507,18 +510,18 @@ def process_excel(file):
 
 
                 
-            # Ensure location_clusters and problem_clusters are in DataFrame format
-            if isinstance(location_clusters, pd.DataFrame):
-                location_clusters.to_excel(writer, sheet_name='Location_Clusters', index=False)
-            else:
-                console_messages.append("Converting Location Clusters to df")
-                pd.DataFrame(location_clusters).to_excel(writer, sheet_name='Location_Clusters', index=False)
+            # # Ensure location_clusters and problem_clusters are in DataFrame format
+            # if isinstance(location_clusters, pd.DataFrame):
+            #     location_clusters.to_excel(writer, sheet_name='Location_Clusters', index=False)
+            # else:
+            #     console_messages.append("Converting Location Clusters to df")
+            #     pd.DataFrame(location_clusters).to_excel(writer, sheet_name='Location_Clusters', index=False)
             
-            if isinstance(problem_clusters, pd.DataFrame):
-                problem_clusters.to_excel(writer, sheet_name='Problem_Clusters', index=False)
-            else:
-                console_messages.append("Converting Problem Clusters to df")
-                pd.DataFrame(problem_clusters).to_excel(writer, sheet_name='Problem_Clusters', index=False)
+            # if isinstance(problem_clusters, pd.DataFrame):
+            #     problem_clusters.to_excel(writer, sheet_name='Problem_Clusters', index=False)
+            # else:
+            #     console_messages.append("Converting Problem Clusters to df")
+            #     pd.DataFrame(problem_clusters).to_excel(writer, sheet_name='Problem_Clusters', index=False)