Update app.py

app.py

@@ -14,11 +14,13 @@ corrected_fp_growth_results_sephora = read_pickle_files("sephora_corrected_fp_gr
 all_products_with_names_sephora = read_pickle_files ("item_catalog.pkl")
 dictionary_of_transactions_sephora = read_pickle_files("transaction_metadata.pkl")
 images_sephora = read_pickle_files("uid_url_map.pkl")
+item_costs_sephora_data = read_pickle_files("wavg_item_costs_sephora.pkl")
+
 
 # Load digital pickle files
-corrected_fp_growth_results = read_pickle_files("reliance_digital_fpgrowth_results_demo.pkl")
-all_products_with_names = read_pickle_files ("all_products_with_names_demo.pkl")
-dictionary_of_transactions = read_pickle_files("reliance_digital_transactions_demo.pkl")
+corrected_fp_growth_results = read_pickle_files("corrected_fp_growth_results.pkl")
+all_products_with_names = read_pickle_files ("all_products_with_names.pkl")
+dictionary_of_transactions = read_pickle_files("reliance_digital_transactions.pkl")
 item_costs_digital_data = read_pickle_files("avg_item_costs_reliance_digital_wa.pkl")
 
 # Dropdown for selecting the dataset
@@ -41,6 +43,7 @@ if dataset_choice == "Sephora Order Complete Dataset":
     query_id = name_to_id[selected_product_name]
     url = "https://www.sephora.com/"
     st.write("Created using the clickstream order-completed and catalog data from [Sephora.com](%s)" % url)
+    st.write("Cost of chosen item:", str(round(item_costs_sephora_data[query_id], 2)))
     query_url = images_sephora[int(query_id)]
     st.image(query_url, width=500)
 
@@ -60,7 +63,7 @@ if dataset_choice == "Reliance Digital Order Complete Dataset":
     url = "https://www.reliancedigital.in/"
     st.write("Created using the clickstream order-completed data from [reliancedigital.com](%s)" % url)
     st.write("An item is only recommended if it costs less than the chosen item.")
-    st.write("Cost of chosen item:", str(round(item_costs_digital_data[query_id], 3)))
+    st.write("Cost of chosen item:", str(round(item_costs_digital_data[query_id], 2)))
 
 
 
@@ -107,7 +110,8 @@ with tab2:
             # Separate the sorted items into IDs and counts
             item_ids = [item for item in corrected_fp_growth_results_sephora[query_id]]
             item_counts = [corrected_fp_growth_results_sephora[query_id][item] for item in corrected_fp_growth_results_sephora[query_id]]
-            
+            item_costs_sephora = [item_costs_sephora_data.get(item, "cost missing") for item in corrected_fp_growth_results_sephora[query_id]]
+
             item_image = []
             for item in corrected_fp_growth_results_sephora[query_id]:
                 try:
@@ -146,12 +150,14 @@ with tab2:
                 count_info = f"Co-purchased {copurchase_count[index]}/{transactions_with_query_item} times"
                 item_counts_info = f"item-count {item_counts[index]} "
                 confidence_info = f"Confidence: {round(confidence_list[index], 3)}"
+                item_cost_info_sephora = f"Cost: {round(item_costs_sephora[index],2)}"
+
                 
                 # Use <br> to display each line separately
                 mid_section += f"""<div class="item">
                                     <div id="image-container"><img src='{item_image[index]}' /></div>
                                     <p style="font-size: 16px; font-weight: bold; white-space: normal; word-wrap: break-word;">{str(product_names[index])}</p>
-                                    <p>{count_info}<br>{confidence_info}<br></p>
+                                    <p>{count_info}<br>{confidence_info}<br>{item_cost_info_sephora}</p>
                                 </div>"""
                 
             mid_html = html2 + mid_section + """</div></div></body>"""