modify product recommendation string

financial_consultant_persona.py

@@ -72,7 +72,12 @@ def get_cust_data_dict(cust_name="Wong Ling Yit"):
     radar_df = pd.merge(radar_df, temp, on="Product Category", how="inner")
     temp = temp.sort_values("Score", ascending=False).reset_index(drop=True)
     
-    top_products = temp[:3]["Recommended Product"].tolist()
+    top_categories = temp[:3]["Product Category"].tolist()
+    top_recom_products = temp[:3]["Recommended Product"].tolist()
+    top_products = []
+    for c, p in zip(top_categories, top_recom_products):
+        product_msg = f"{c}: {p}"
+        top_products.append(product_msg)
     
     top_score = temp.iloc[0]["Score"]
     score_rating = get_score_rating(top_score)