Update app.py

app.py

@@ -188,28 +188,27 @@ def setup_knowledge_base():
         all_text += _format_tables_internal(tables) + "\n"
 
     # Process CSVs
-    # Process CSVs
-for filename in ["CustomerOrders.csv"]:
-    csv_path = os.path.join(folder_path, filename)
-    try:
-        with open(csv_path, newline='', encoding='utf-8') as csvfile:
-            reader = csv.DictReader(csvfile)
-            for row in reader:
-                line = f"Order ID: {row.get('OrderID')} | Customer Name: {row.get('CustomerName')} | Order Date: {row.get('OrderDate')} | ProductID: {row.get('ProductID')} | Date: {row.get('OrderDate')} | Quantity: {row.get('Quantity')} | UnitPrice(USD): {row.get('UnitPrice(USD)')} | TotalPrice(USD): {row.get('TotalPrice(USD)')} | ShippingAddress: {row.get('ShippingAddress')} | OrderStatus: {row.get('OrderStatus')}"
-                all_text += line + "\n"
-    except Exception as e:
-        print(f"❌ Error reading {filename}: {e}")
-
-for filename in ["Products.csv"]:
-    csv_path = os.path.join(folder_path, filename)
-    try:
-        with open(csv_path, newline='', encoding='utf-8') as csvfile:
-            reader = csv.DictReader(csvfile)
-            for row in reader:
-                line = f"Product ID: {row.get('ProductID')} | Toy Name: {row.get('ToyName')} | Category: {row.get('Category')} | Price(USD): {row.get('Price(USD)')} | Stock Quantity: {row.get('StockQuantity')} | Description: {row.get('Description')}"
-                all_text += line + "\n"
-    except Exception as e:
-        print(f"❌ Error reading {filename}: {e}")
+    for filename in ["CustomerOrders.csv"]:
+        csv_path = os.path.join(folder_path, filename)
+        try:
+            with open(csv_path, newline='', encoding='utf-8') as csvfile:
+                reader = csv.DictReader(csvfile)
+                for row in reader:
+                    line = f"Order ID: {row.get('OrderID')} | Customer Name: {row.get('CustomerName')} | Order Date: {row.get('OrderDate')} | ProductID: {row.get('ProductID')} | Date: {row.get('OrderDate')} | Quantity: {row.get('Quantity')} | UnitPrice(USD): {row.get('UnitPrice(USD)')} | TotalPrice(USD): {row.get('TotalPrice(USD)')} | ShippingAddress: {row.get('ShippingAddress')} | OrderStatus: {row.get('OrderStatus')}"
+                    all_text += line + "\n"
+        except Exception as e:
+            print(f"❌ Error reading {filename}: {e}")
+
+    for filename in ["Products.csv"]:
+        csv_path = os.path.join(folder_path, filename)
+        try:
+            with open(csv_path, newline='', encoding='utf-8') as csvfile:
+                reader = csv.DictReader(csvfile)
+                for row in reader:
+                    line = f"Product ID: {row.get('ProductID')} | Toy Name: {row.get('ToyName')} | Category: {row.get('Category')} | Price(USD): {row.get('Price(USD)')} | Stock Quantity: {row.get('StockQuantity')} | Description: {row.get('Description')}"
+                    all_text += line + "\n"
+        except Exception as e:
+            print(f"❌ Error reading {filename}: {e}")
 
     # Tokenization & chunking
     tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
@@ -222,6 +221,7 @@ for filename in ["Products.csv"]:
     return index, model, chunks
 
 
+
 # --- Monitor Conversations ---
 def start_conversation_monitor(client, index, embed_model, text_chunks):
     processed_convos = set()