feat: updated website

app.py

@@ -273,6 +273,7 @@ elif page == "Customer Analysis":
                 # Load the Corresponding Model
                 model_path = f'models/modelo_cluster_{cluster}.txt'
                 gbm = lgb.Booster(model_file=model_path)
+                time.sleep(1)
 
             with st.spinner("Getting the data ready..."):
                 # Load predict data for that cluster
@@ -280,12 +281,14 @@ elif page == "Customer Analysis":
                 
                 # Convert cliente_id to string
                 predict_data['cliente_id'] = predict_data['cliente_id'].astype(str)
+                time.sleep(1)
 
             with st.spinner("Filtering data..."):                
 
                 # Filter for the specific customer
                 customer_code_str = str(customer_code)
                 customer_data = predict_data[predict_data['cliente_id'] == customer_code_str]
+                time.sleep(1)
 
             with st.spinner("Generating sales predictions..."):       
 
@@ -331,7 +334,7 @@ elif page == "Customer Analysis":
                             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}")
-                            st.write(f"MAE: {mae:.2f}")
+                            st.write(f"MAE: {mae:.2f}€")
                             st.write(f"MAPE: {mape:.2f}%")
                             st.write(f"RMSE: {rmse:.2f}")