Fix value in radar plot

app.py

@@ -1407,22 +1407,9 @@ with gr.Blocks(theme='shivi/calm_seafoam', css_paths='style.css', js=js_func) as
                     fig = go.Figure()
                     for model in sorted(selected_models, key=lambda m: avg_metrics[avg_metrics['model'] == m]['avg_metric'].mean(), reverse=True):
                         model_data = avg_metrics[avg_metrics['model'] == model]
-                        # values = [
-                        #     model_data[model_data['test_category'] == cat]['avg_metric'].values[0]
-                        #     if cat in model_data['test_category'].values else 0
-                        #     for cat in categories
-                        # ]
                         values = [
-                            0.4 if model in ["GPT-3.5", "Llama-8B", "DS-Llama3 70B"] and cat == "MANY-TO-MANY" else
-                            1.0 if model == "Llama-8B" and cat == "DISTINCT" else
-                            0.76 if model == "DS-Llama3 70B" and cat == "SELECT" else
-                            1.0 if model == "GPT-3.5" and cat == "Project" else
-                            0.89 if model == "Llama-8B" and cat == "Project" else
-                            0.87 if model == "GPT-3.5" and cat in model_data['test_category'].values else
-                            0.83 if model == "DS-Llama3 70B" and cat in model_data['test_category'].values else
-                            0.74 if model == "Llama-8B" and cat in model_data['test_category'].values else
-                            (model_data[model_data['test_category'] == cat]['avg_metric'].values[0]
-                            if cat in model_data['test_category'].values else 0)
+                            model_data[model_data['test_category'] == cat]['avg_metric'].values[0]
+                            if cat in model_data['test_category'].values else 0
                             for cat in categories
                         ]
                         fig.add_trace(go.Scatterpolar(