Update app.py

app.py

@@ -397,32 +397,53 @@ def generate_project_proposal(problem_descriptions, location, problem_domain):
 
 
 
-
-
-
-    
-
 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:
-            location = ", ".join(location_clusters[loc])
-            problem_domain = ", ".join(problem_clusters[prob])
+            location = ", ".join([item.strip() for item in location_clusters[loc] if item])  # Clean and join
+            problem_domain = ", ".join([item.strip() for item in problem_clusters[prob] if item])  # Clean and join
             problem_descriptions = problem_cluster_df.loc[loc, prob]
             
-            if problem_descriptions:
+            if problem_descriptions and not pd.isna(problem_descriptions):
+                print(f"\nGenerating proposal for location: {location}, problem domain: {problem_domain}")
                 proposal = generate_project_proposal(
                     problem_descriptions,
                     location, 
                     problem_domain)
                 proposals[(loc, prob)] = proposal
-    console_messages.append("\n Exiting function: create_project_proposals")
+                print("Generated Proposal: ", proposal)
+            else:
+                print(f"Skipping empty problem descriptions for location: {location}, problem domain: {problem_domain}")
+    
     return proposals
 
 
 
+    
+
+# 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:
+#             location = ", ".join(location_clusters[loc])
+#             problem_domain = ", ".join(problem_clusters[prob])
+#             problem_descriptions = problem_cluster_df.loc[loc, prob]
+            
+#             if problem_descriptions:
+#                 proposal = generate_project_proposal(
+#                     problem_descriptions,
+#                     location, 
+#                     problem_domain)
+#                 proposals[(loc, prob)] = proposal
+#     console_messages.append("\n Exiting function: create_project_proposals")
+#     return proposals
+
+
+