Update app.py

app.py

@@ -395,7 +395,7 @@ class DemandForecasting:
             # Predict sales for the specified date using the trained model
             predicted_value = self.predict_sales_for_date(input_data, trained_model)
 
-            return plot, predicted_value, validation
+            return validation, line_graph, scatter_plot, predicted_value
 
         except Exception as e:
             # Log an error message if an exception occurs in the main function
@@ -423,12 +423,16 @@ class DemandForecasting:
 
 
             with gr.Row():
-                  validation = gr.Textbox(label="Validation")
-                  predicted_result = gr.Textbox(label="Predicted Result")
-                  plot = gr.Plot()
-
+                validation = gr.Textbox(label="Validation")
+            with gr.Row():
+                predicted_result = gr.Textbox(label="Predicted Result")
+            with gr.Row():                
+                line_plot = gr.Plot()
+            with gr.Row():                
+                scatter_plot = gr.Plot()
+                
             train_csv.upload(self.get_column, train_csv, column_list)
-            audio_path.stop_recording(self.main, [train_csv, audio_path, target_column, selected_column], [plot, predicted_result, validation])
+            audio_path.stop_recording(self.main, [train_csv, audio_path, target_column, selected_column], [validation, line_plot, scatter_plot, predicted_result])
 
         demo.launch(debug=True)