Separate submission section

app.py

@@ -389,6 +389,113 @@ with gr.Blocks() as demo_leaderboard:
         )
 
 
+with gr.Blocks() as demo_submission:
+    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.Accordion(
+                f"❎ Failed Evaluation Queue ({len(failed_eval_queue_df)})",
+                open=False,
+            ):
+                with gr.Row():
+                    failed_eval_table = gr.components.Dataframe(
+                        value=failed_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)")
+            add_special_tokens = gr.Dropdown(
+                choices=[i.value.name for i in AddSpecialTokens if i != AddSpecialTokens.Unknown],
+                label="AddSpecialTokens",
+                multiselect=False,
+                value="False",
+                interactive=True,
+            )
+
+    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,
+            add_special_tokens,
+        ],
+        submission_result,
+        )
+
+
 with gr.Blocks(css=custom_css) as demo:
     gr.HTML(TITLE)
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
@@ -401,110 +508,7 @@ with gr.Blocks(css=custom_css) as demo:
             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.Accordion(
-                        f"❎ Failed Evaluation Queue ({len(failed_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            failed_eval_table = gr.components.Dataframe(
-                                value=failed_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)")
-                    add_special_tokens = gr.Dropdown(
-                        choices=[i.value.name for i in AddSpecialTokens if i != AddSpecialTokens.Unknown],
-                        label="AddSpecialTokens",
-                        multiselect=False,
-                        value="False",
-                        interactive=True,
-                    )
-
-            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,
-                    add_special_tokens,
-                ],
-                submission_result,
-            )
+            demo_submission.render()
 
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):