change defaul visibility

app.py

@@ -267,7 +267,7 @@ with gr.Blocks(css=custom_css) as app:
                                       placeholder="Model Search (delimit with , )",
                                       show_label=False)
                 model_types_1 = gr.CheckboxGroup(["Seq. Classifiers", "DPO", "Custom Classifiers", "Generative", "Prior Sets"], 
-                                                 value=["Seq. Classifiers", "DPO", "Custom Classifiers", "Prior Sets"], 
+                                                 value=["Seq. Classifiers", "DPO", "Custom Classifiers", "Generative", "Prior Sets"], 
                                                  label="Model Types", 
                                                  show_label=False,
                                                 #  info="Which model types to include.",
@@ -281,7 +281,7 @@ with gr.Blocks(css=custom_css) as app:
                     visible=False,
                 )
                 rewardbench_table = gr.Dataframe(
-                    regex_table(rewardbench_data_avg.copy(), "", ["Seq. Classifiers", "DPO", "Custom Classifiers", "Prior Sets"]).values,
+                    regex_table(rewardbench_data_avg.copy(), "", ["Seq. Classifiers", "DPO", "Custom Classifiers",  "Generative", "Prior Sets"]).values,
                     datatype=col_types_rewardbench_avg,
                     headers=rewardbench_data_avg.columns.tolist(),
                     elem_id="rewardbench_dataframe_avg",
@@ -292,7 +292,7 @@ with gr.Blocks(css=custom_css) as app:
             with gr.Row():
                 search_2 = gr.Textbox(label="Model Search (delimit with , )", show_label=False, placeholder="Model Search (delimit with , )")
                 model_types_2 = gr.CheckboxGroup(["Seq. Classifiers", "DPO", "Custom Classifiers", "Generative"], 
-                                                 value=["Seq. Classifiers", "DPO", "Custom Classifiers"], 
+                                                 value=["Seq. Classifiers", "DPO",  "Generative", "Custom Classifiers"], 
                                                  label="Model Types", 
                                                  show_label=False,
                                                 #  info="Which model types to include."
@@ -306,7 +306,7 @@ with gr.Blocks(css=custom_css) as app:
                     visible=False,
                 )
                 rewardbench_table_detailed = gr.Dataframe(
-                    regex_table(rewardbench_data.copy(), "", ["Seq. Classifiers", "DPO", "Custom Classifiers"]).values,
+                    regex_table(rewardbench_data.copy(), "", ["Seq. Classifiers", "DPO",  "Generative", "Custom Classifiers"]).values,
                     datatype=col_types_rewardbench,
                     headers=rewardbench_data.columns.tolist(),
                     elem_id="rewardbench_dataframe",