Fix ves problem

app.py

@@ -858,8 +858,9 @@ with gr.Blocks(theme='shivi/calm_seafoam', css_paths='style.css', js=js_func) as
                 yield gr.Markdown(eval_text, visible=True), gr.Image(), gr.Markdown(), gr.Markdown(), gr.Markdown(), metrics_conc, *[predictions_dict[model] for model in model_list]
                 
                 evaluator = OrchestratorEvaluator()
-
+                
                 for model in input_data["models"]:
+                    global flag_TQA
                     if not flag_TQA:
                         metrics_df_model = evaluator.evaluate_df(
                             df=predictions_dict[model],
@@ -874,6 +875,9 @@ with gr.Blocks(theme='shivi/calm_seafoam', css_paths='style.css', js=js_func) as
 
                 if 'valid_efficency_score' not in metrics_conc.columns and 'VES' in metrics_conc.columns:
                     metrics_conc['valid_efficency_score'] = metrics_conc['VES']
+
+                if 'VES' not in metrics_conc.columns and 'valid_efficency_score' in metrics_conc.columns:
+                    metrics_conc['VES'] = metrics_conc['valid_efficency_score']
                 
                 eval_text = generate_eval_text("End evaluation")
                 yield gr.Markdown(eval_text, visible=True), gr.Image(), gr.Markdown(), gr.Markdown(), gr.Markdown(), metrics_conc, *[predictions_dict[model] for model in model_list]