set up max_height for tables

app.py

@@ -58,7 +58,7 @@ with gr.Blocks(css=css) as block:
                 datatype=["str"] + ["number"] * (len(initial_headers) - 1),
                 interactive=False,
                 elem_classes="custom-dataframe",
-                #height=1000,
+                max_height=1200,
             )
             refresh_button = gr.Button("Refresh")
             refresh_button.click(fn=update_leaderboard, inputs=[super_group_selector, model_group_selector], outputs=[data_component])

utils.py

@@ -104,7 +104,7 @@ def get_original_keyword(mapped_keyword):
 # Define model groups
 MODEL_GROUPS = {
     "All": list(MODEL_DATA.keys()),
-    "Flagship Models": ['Claude_3.5_new', 'GPT_4o', 'Claude_3.5', 'Gemini_1.5_pro_002', 'Qwen2_VL_72B', 'InternVL2_76B', 'llava_onevision_72B', 'NVLM-72B'],
+    "Flagship Models": ['Claude_3.5_new', 'GPT_4o', 'Claude_3.5', 'Gemini_1.5_pro_002', 'Qwen2_VL_72B', 'InternVL2_76B', 'llava_onevision_72B', 'NVLM'],
     "Efficiency Models": ['Gemini_1.5_flash_002', 'GPT_4o_mini', 'Qwen2_VL_7B', 'Pixtral_12B', 'Aria', 'InternVL2_8B', 'Phi-3.5-vision', 'MiniCPM_v2.6', 'llava_onevision_7B', 'Llama_3_2_11B', 'Idefics3'],
     "Proprietary Flagship models": ['Claude_3.5_new', 'GPT_4o', 'Claude_3.5', 'Gemini_1.5_pro_002'],
     "Proprietary Efficiency Models": ['Gemini_1.5_flash_002', 'GPT_4o_mini'],