update app.py and about.py test

app.py

@@ -138,7 +138,7 @@ with demo:
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
-        with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):
+        with gr.TabItem("📝 진행 중 과제", elem_id="llm-benchmark-tab-table", id=0):
             with gr.Row():
                 with gr.Column():
                     with gr.Row():
@@ -239,95 +239,95 @@ with demo:
                     queue=True,
                 )
 
-        with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
+        with gr.TabItem("📝 지난 과제", 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):

src/about.py

@@ -19,13 +19,13 @@ NUM_FEWSHOT = 0 # Change with your few shot
 # ---------------------------------------------------
 
 
-
 # Your leaderboard name
-TITLE = """<h1 align="center" id="space-title">Demo leaderboard</h1>"""
+TITLE = """<h1 align="center" id="space-title">🏅 Korean AI leaderboard</h1>"""
 
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
-Intro text
+[2024 국립국어원 인공 지능 언어 능력 평가]
+- 🚀 인공 지능, 인간의 감정을 이해하고 이야기를 완성하다
 """
 
 # Which evaluations are you running? how can people reproduce what you have?