Update app.py

app.py

@@ -243,91 +243,91 @@ with demo:
         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 model 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)")
-
-            # submit_button = gr.Button("Submit Eval")
-            # submission_result = gr.Markdown()
-            # submit_button.click(
-            #     add_new_eval,
-            #     [
-            #         model_name_textbox,
-            #         base_model_name_textbox,
-            #         revision_name_textbox,
-            #         precision,
-            #         weight_type,
-            #         model_type,
-            #     ],
-            #     submission_result,
-            # )
+        # 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 model 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)")
+
+        #     submit_button = gr.Button("Submit Eval")
+        #     submission_result = gr.Markdown()
+        #     submit_button.click(
+        #         add_new_eval,
+        #         [
+        #             model_name_textbox,
+        #             base_model_name_textbox,
+        #             revision_name_textbox,
+        #             precision,
+        #             weight_type,
+        #             model_type,
+        #         ],
+        #         submission_result,
+        #     )
 
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):