about

app.py

@@ -102,61 +102,61 @@ 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 Open model here!", elem_classes="markdown-text")
-
-            with gr.Row():
-                with gr.Column():
-                    model_name = gr.Textbox(label="Model name")
-            submit_button = gr.Button("Submit Eval")
-            submission_result = gr.Markdown()
-            submit_button.click(
-                add_new_open_model_eval,
-                [
-                    model_name
-                ],
-                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 Open model here!", elem_classes="markdown-text")
+
+        #     with gr.Row():
+        #         with gr.Column():
+        #             model_name = gr.Textbox(label="Model name")
+        #     submit_button = gr.Button("Submit Eval")
+        #     submission_result = gr.Markdown()
+        #     submit_button.click(
+        #         add_new_open_model_eval,
+        #         [
+        #             model_name
+        #         ],
+        #         submission_result,
+        #     )
 
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):

src/about.py

@@ -71,13 +71,14 @@ INTRODUCE_BENCHMARK = f"""
 
 #TODO About
 LLM_BENCHMARKS_TEXT = f"""
-<h2 style="color: #2c3e50;"> Why Leaderboard? </h2>
-<h2 style="color: #2c3e50;">How it works</h2>
-
-<h2 style="color: #2c3e50;">Datasets</h2>
-<h2 style="color: #2c3e50;">Metrics</h2>
-To reproduce our results, here is the commands you can run:
-
+<div style="text-align: center; margin: 20px;">
+    <h2 style="color: #2c3e50; font-family: Arial, sans-serif;"> See details in 
+        <a href="https://github.com/njucckevin/CapArena" target="_blank" 
+           style="color: #2980b9; text-decoration: none; font-weight: bold;">
+           CapArena
+        </a>
+    </h2>
+</div>
 """
 
 EVALUATION_QUEUE_TEXT = """