add A2/A3 existing results

app.py

@@ -7,8 +7,7 @@ LEADERBORAD_INTRODUCTION = """# Q-Bench Leaderboard
 
   <img style="width:40%" src="https://raw.githubusercontent.com/Q-Future/Q-Bench/master/logo.png">
     
-    
-    *"How do multi-modaility LLMs perform on low-level computer vision?"*  
+    **[ICLR 2024 Spotlight]** *"How do multi-modaility LLMs perform on low-level computer vision?"*  
     🏆 Welcome to the leaderboard of the **Q-Bench**! *A Comprehensive Benchmark Suite for General-purpose Foundation Models on Low-level Vision*
     <div style="display: flex; flex-wrap: wrap; align-items: center; gap: 10px;">
     <a href="https://github.com/Q-Future/"><img src="https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Fvqassessment%2FQ-Bench&count_bg=%23E97EBA&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=visitors&edge_flat=false"/></a>
@@ -32,12 +31,16 @@ with block:
     )
     with gr.Tab("Perception (A1, dev)"):
         gr.DataFrame(pd.read_csv("qbench_a1_single_dev.csv"))
-    with gr.Tab("Perception (A1,test)"):
+    with gr.Tab("Perception (A1, test)"):
         gr.DataFrame(pd.read_csv("qbench_a1_single_test.csv"))
     with gr.Tab("Description (A2)"):
         gr.DataFrame(pd.read_csv("qbench_a2_single.csv"))
     with gr.Tab("Assessment (A3)"):
         gr.DataFrame(pd.read_csv("qbench_a3_single.csv"))
-    
+    with gr.Tab("Submit to Q-Bench (coming soon!)"):
+        gr.Markdown(
+            "We will release the submission guidance here soon!"
+        )
+               
     
 block.launch(share=True)