feat: updated website

app.py

@@ -323,9 +323,10 @@ elif page == "Customer Analysis":
                         
                         # Calculate metrics only for non-null actual sales
                         valid_results = results.dropna(subset=['ventas_reales'])
+                        non_zero_actuals = valid_results[valid_results['ventas_reales'] != 0]
                         if not valid_results.empty:
                             mae = mean_absolute_error(valid_results['ventas_reales'], valid_results['ventas_predichas'])
-                            mape = np.mean(np.abs((valid_results['ventas_reales'] - valid_results['ventas_predichas']) / valid_results['ventas_reales'])) * 100
+                            mape = np.mean(np.abs((non_zero_actuals['ventas_reales'] - non_zero_actuals['ventas_predichas']) / non_zero_actuals['ventas_reales'])) * 100
                             rmse = np.sqrt(mean_squared_error(valid_results['ventas_reales'], valid_results['ventas_predichas']))
 
                             st.write(f"Actual total sales for Customer {customer_code}: {valid_results['ventas_reales'].sum():.2f}")