Update app.py

app.py

@@ -192,18 +192,19 @@ def setup_knowledge_base():
     csv_path = os.path.join(folder_path, filename)
     try:
         with open(csv_path, newline='', encoding='utf-8') as csvfile:
-            reader = csv.DictReader(csvfile)  # Use DictReader to get column names
+            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)  # Use DictReader to get column names
+            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"
@@ -211,6 +212,7 @@ def setup_knowledge_base():
         print(f"❌ Error reading {filename}: {e}")
 
 
+
     # Tokenization & chunking
     tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
     chunks = chunk_text(all_text, tokenizer)