[rank] adding rank

app.py

@@ -123,7 +123,7 @@ with demo:
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
-        with gr.TabItem("🧠 Unified performance evaluation of VLM captioners", elem_id="llm-benchmark-tab-table", id=0):
+        with gr.TabItem("🧠 Unified perf eval VLM captioners", elem_id="llm-benchmark-tab-table", id=0):
             with gr.Column():
                 table_output = gr.DataFrame(value=LEADERBOARD_DF_DISPLAY_INIT, label="Leaderboard Results", interactive=True, wrap=True)
                 
@@ -157,7 +157,7 @@ with demo:
                     outputs=[table_output]
                 )
 
-        with gr.TabItem("📝 Bias-aware evaluation of VLM ", elem_id="llm-benchmark-tab-table", id=2):
+        with gr.TabItem("📝 Bias-aware eval VLM ", elem_id="llm-benchmark-tab-table", id=2):
             with gr.Column():
                 gr.Markdown("### Bias-Aware Evaluation Results")
                 bias_table_output = gr.DataFrame(value=BIAS_DF, label="Bias Evaluation Results", interactive=True, wrap=True)
@@ -206,7 +206,7 @@ with demo:
                 bias_type_selector.change(fn=update_bias_table, inputs=[bias_column_selector, bias_type_selector, bias_model_selector_for_bias_tab], outputs=[bias_table_output])
                 bias_model_selector_for_bias_tab.change(fn=update_bias_table, inputs=[bias_column_selector, bias_type_selector, bias_model_selector_for_bias_tab], outputs=[bias_table_output])
 
-        with gr.TabItem("🧑‍🍳 User Type and Preference-Oriented Scores ", elem_id="llm-benchmark-tab-table", id=3):
+        with gr.TabItem("🧑‍🍳 User Type & Preference-Oriented Scores ", elem_id="llm-benchmark-tab-table", id=3):
             with gr.Column():
                 gr.Markdown("### Preference-Oriented Scores by User Type and Model")
                 def create_preference_score_chart():