fix

app.py

@@ -385,35 +385,35 @@ with gr.Blocks(css=custom_css) as app:
         #             elem_id="rewardbench_dataframe_length",
         #             height=1000,
         #         )
-        with gr.TabItem("Prior Test Sets"):
-            with gr.Row():
-                search_3 = gr.Textbox(label="Model Search (delimit with , )", show_label=False, placeholder="Model Search (delimit with , )")
-                model_types_3 = gr.CheckboxGroup(["Seq. Classifiers", "DPO", "Custom Classifiers", "Generative"],
-                                                 value=["Seq. Classifiers", "DPO", "Custom Classifiers"], 
-                                                 label="Model Types",
-                                                 show_label=False, 
-                                                #  info="Which model types to include.",
-                                                 )
-            with gr.Row():
-                PREF_SET_TEXT = """
-                For more information, see the [dataset](https://huggingface.co/datasets/allenai/pref-test-sets). Only the subsets Anthropic Helpful, Anthropic HHH, Stanford SHP, and OpenAI's Summarize data are used in the leaderboard ranking.
-                """
-                gr.Markdown(PREF_SET_TEXT)
-            with gr.Row():
-                # backup
-                pref_sets_table_hidden = gr.Dataframe(
-                    prefs_data.values,
-                    datatype=col_types_prefs,
-                    headers=prefs_data.columns.tolist(),
-                    visible=False,
-                )
-                pref_sets_table = gr.Dataframe(
-                    regex_table(prefs_data.copy(), "", ["Seq. Classifiers", "DPO", "Custom Classifiers"]),
-                    datatype=col_types_prefs,
-                    headers=prefs_data.columns.tolist(),
-                    elem_id="prefs_dataframe",
-                    # height=1000,
-                )
+        # with gr.TabItem("Prior Test Sets"):
+        #     with gr.Row():
+        #         search_3 = gr.Textbox(label="Model Search (delimit with , )", show_label=False, placeholder="Model Search (delimit with , )")
+        #         model_types_3 = gr.CheckboxGroup(["Seq. Classifiers", "DPO", "Custom Classifiers", "Generative"],
+        #                                          value=["Seq. Classifiers", "DPO", "Custom Classifiers"], 
+        #                                          label="Model Types",
+        #                                          show_label=False, 
+        #                                         #  info="Which model types to include.",
+        #                                          )
+        #     with gr.Row():
+        #         PREF_SET_TEXT = """
+        #         For more information, see the [dataset](https://huggingface.co/datasets/allenai/pref-test-sets). Only the subsets Anthropic Helpful, Anthropic HHH, Stanford SHP, and OpenAI's Summarize data are used in the leaderboard ranking.
+        #         """
+        #         gr.Markdown(PREF_SET_TEXT)
+        #     with gr.Row():
+        #         # backup
+        #         pref_sets_table_hidden = gr.Dataframe(
+        #             prefs_data.values,
+        #             datatype=col_types_prefs,
+        #             headers=prefs_data.columns.tolist(),
+        #             visible=False,
+        #         )
+        #         pref_sets_table = gr.Dataframe(
+        #             regex_table(prefs_data.copy(), "", ["Seq. Classifiers", "DPO", "Custom Classifiers"]),
+        #             datatype=col_types_prefs,
+        #             headers=prefs_data.columns.tolist(),
+        #             elem_id="prefs_dataframe",
+        #             # height=1000,
+        #         )
 
 
         with gr.TabItem("About"):