remove additional sub sections

app.py

@@ -247,88 +247,88 @@ with demo:
                     queue=True,
                 )
 
-        with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
-            gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
-
-        with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=3):
-            with gr.Column():
-                with gr.Row():
-                    gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
-
-                with gr.Column():
-                    with gr.Accordion(
-                        f"✅ Finished Evaluations ({len(finished_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            finished_eval_table = gr.components.Dataframe(
-                                value=finished_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-                    with gr.Accordion(
-                        f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            running_eval_table = gr.components.Dataframe(
-                                value=running_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-
-                    with gr.Accordion(
-                        f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            pending_eval_table = gr.components.Dataframe(
-                                value=pending_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-            # with gr.Row():
-            #     gr.Markdown("# ✉️✨ Submit your Results here!", elem_classes="markdown-text")
-
-            # with gr.Row():
-            #     with gr.Column():
-            #         model_name_textbox = gr.Textbox(label="Model name")
-            #         revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
-            #         model_type = gr.Dropdown(
-            #             choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
-            #             label="Model type",
-            #             multiselect=False,
-            #             value=None,
-            #             interactive=True,
-            #         )
-
-            #     with gr.Column():
-            #         precision = gr.Dropdown(
-            #             choices=[i.value.name for i in Precision if i != Precision.Unknown],
-            #             label="Precision",
-            #             multiselect=False,
-            #             value="float16",
-            #             interactive=True,
-            #         )
-            #         weight_type = gr.Dropdown(
-            #             choices=[i.value.name for i in WeightType],
-            #             label="Weights type",
-            #             multiselect=False,
-            #             value="Original",
-            #             interactive=True,
-            #         )
-            #         base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
+        # with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
+        #     gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
+
+        # with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=3):
+        #     with gr.Column():
+        #         with gr.Row():
+        #             gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
+
+        #         with gr.Column():
+        #             with gr.Accordion(
+        #                 f"✅ Finished Evaluations ({len(finished_eval_queue_df)})",
+        #                 open=False,
+        #             ):
+        #                 with gr.Row():
+        #                     finished_eval_table = gr.components.Dataframe(
+        #                         value=finished_eval_queue_df,
+        #                         headers=EVAL_COLS,
+        #                         datatype=EVAL_TYPES,
+        #                         row_count=5,
+        #                     )
+        #             with gr.Accordion(
+        #                 f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
+        #                 open=False,
+        #             ):
+        #                 with gr.Row():
+        #                     running_eval_table = gr.components.Dataframe(
+        #                         value=running_eval_queue_df,
+        #                         headers=EVAL_COLS,
+        #                         datatype=EVAL_TYPES,
+        #                         row_count=5,
+        #                     )
+
+        #             with gr.Accordion(
+        #                 f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})",
+        #                 open=False,
+        #             ):
+        #                 with gr.Row():
+        #                     pending_eval_table = gr.components.Dataframe(
+        #                         value=pending_eval_queue_df,
+        #                         headers=EVAL_COLS,
+        #                         datatype=EVAL_TYPES,
+        #                         row_count=5,
+        #                     )
+        # with gr.Row():
+        #     gr.Markdown("# ✉️✨ Submit your Results here!", elem_classes="markdown-text")
+
+        # with gr.Row():
+        #     with gr.Column():
+        #         model_name_textbox = gr.Textbox(label="Model name")
+        #         revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
+        #         model_type = gr.Dropdown(
+        #             choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
+        #             label="Model type",
+        #             multiselect=False,
+        #             value=None,
+        #             interactive=True,
+        #         )
+
+        #     with gr.Column():
+        #         precision = gr.Dropdown(
+        #             choices=[i.value.name for i in Precision if i != Precision.Unknown],
+        #             label="Precision",
+        #             multiselect=False,
+        #             value="float16",
+        #             interactive=True,
+        #         )
+        #         weight_type = gr.Dropdown(
+        #             choices=[i.value.name for i in WeightType],
+        #             label="Weights type",
+        #             multiselect=False,
+        #             value="Original",
+        #             interactive=True,
+        #         )
+        #         base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
 
         with gr.Accordion("Submit a new model for evaluation"):
             with gr.Row():
                 with gr.Column():
                     method_name_textbox = gr.Textbox(label="Method name")
                     # llama, phi
-                    model_family_radio = gr.Radio(["llama", "phi"], value="llama", label="Model family")
-                    forget_rate_radio = gr.Radio(["1%", "5%", "10%"], value="10%", label="Forget rate")
+                    # model_family_radio = gr.Radio(["llama", "phi"], value="llama", label="Model family")
+                    # forget_rate_radio = gr.Radio(["1%", "5%", "10%"], value="10%", label="Forget rate")
                     url_textbox = gr.Textbox(label="Url to model information")
                 with gr.Column():
                     organisation = gr.Textbox(label="Organisation")
@@ -341,8 +341,8 @@ with demo:
                 add_new_eval,
                 [
                     method_name_textbox,
-                    model_family_radio,
-                    forget_rate_radio,
+                    # model_family_radio,
+                    # forget_rate_radio,
                     url_textbox,
                     file_output,
                     organisation,

src/about.py

@@ -34,7 +34,6 @@ TITLE = """<h1 align="center" id="space-title">IL-TUR Leaderboard</h1>"""
 
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
-Intro text
 """
 
 # Which evaluations are you running? how can people reproduce what you have?