exception handling added

.vs/VSWorkspaceState.json

@@ -2,6 +2,6 @@
   "ExpandedNodes": [
     ""
   ],
-  "SelectedNode": "\\app.py",
+  "SelectedNode": "\\requirements.txt",
   "PreviewInSolutionExplorer": false
 }

app.py

@@ -3,8 +3,11 @@ from sklearn.metrics.pairwise import cosine_similarity
 import gradio as gr
 
 def find_similar_items(stock_code):
-    # Read data source Excel files.
-    df1 = pd.read_excel('Online_Retail.xlsx')
+    try:
+        # Read data source Excel file.
+        df1 = pd.read_excel('Online_Retail.xlsx')
+    except FileNotFoundError:
+        return "Error: Excel file not found."
 
     # Check dataframe information.
     df1a = df1.dropna(subset=['CustomerID'])
@@ -30,17 +33,23 @@ def find_similar_items(stock_code):
     item_item_similarity_matrix['StockCode'] = CustomerID_Item_matrix.T.index
     item_item_similarity_matrix = item_item_similarity_matrix.set_index('StockCode')
 
-    # Convert stock_code to integer
-    stock_code = int(stock_code)
+    try:
+        # Convert stock_code to integer
+        stock_code = int(stock_code)
+    except ValueError:
+        return "Error: Invalid stock code."
 
-    # Find the top 5 most similar items
-    top_5_similar_items = list(
-        item_item_similarity_matrix\
-            .loc[stock_code]\
-            .sort_values(ascending=False)\
-            .iloc[:5]\
-        .index
-    )
+    try:
+        # Find the top 5 most similar items
+        top_5_similar_items = list(
+            item_item_similarity_matrix\
+                .loc[stock_code]\
+                .sort_values(ascending=False)\
+                .iloc[:5]\
+            .index
+        )
+    except KeyError:
+        return "Stock code not found.Please enter a valid stock code"
 
     # Return the list of similar items of the given StockCode with item Description.
     results_df = df1a.loc[df1a['StockCode'].isin(top_5_similar_items), 'Description'].drop_duplicates().to_frame().reset_index(drop=True)