Update app.py

app.py

@@ -26,19 +26,4 @@ def process_expenses(file):
     df['Category'] = categorize_transaction_batch(df['Description'].tolist())
 
     # Create visualizations:
-    # 1. Pie chart for Category-wise spending
-    category_spending = df.groupby("Category")['Amount'].sum()
-    fig1 = px.pie(category_spending, names=category_spending.index, values=category_spending.values, title="Category-wise Spending")
-    
-    # 2. Monthly spending trends (Line plot)
-    df['Date'] = pd.to_datetime(df['Date'])
-    df['Month'] = df['Date'].dt.to_period('M')
-    monthly_spending = df.groupby('Month')['Amount'].sum()
-    fig2 = px.line(monthly_spending, x=monthly_spending.index, y=monthly_spending.values, title="Monthly Spending Trends")
-    
-    # 3. Budget vs Actual Spending (Bar chart)
-    category_list = df['Category'].unique()
-    budget_dict = {category: 500 for category in category_list}  # Default budget is 500 for each category
-    budget_spending = {category: [budget_dict[category], category_spending.get(category, 0)] for category in category_list}
-    budget_df = pd.DataFrame(budget_spending, index=["Budget", "Actual"]).T
-    fig3 = px.bar(budget_df, x=budget_df.index, y=["Budget", "Actual"], title=
+    # 1. Pie chart for Category-wise spendin