fix bug

app.py

@@ -268,21 +268,26 @@ with gr.Blocks(title="Open Agent Leaderboard") as demo:
                 interactive=True,
             )
 
+            # Ensure unique values for Agent and VLMs
+            unique_agents = sorted(table_mm['Agent'].drop_duplicates().str.strip().tolist())
+            unique_vlms = sorted(table_mm['VLMs'].drop_duplicates().str.strip().tolist())
+
             agent_name_mm = gr.CheckboxGroup(
-                choices=table_mm['Agent'].unique().tolist(),
-                value=table_mm['Agent'].unique().tolist(),
+                choices=unique_agents,
+                value=unique_agents,
                 label='Agent',
                 interactive=True
             )
 
             vlm_name_mm = gr.CheckboxGroup(
-                choices=table_mm['VLMs'].unique().tolist(),
-                value=table_mm['VLMs'].unique().tolist(),
+                choices=unique_vlms,
+                value=unique_vlms,
                 label='VLMs',
                 interactive=True
             )
 
-            initial_headers_mm = ['Rank'] + check_box_mm['essential'] + checkbox_group_mm.value
+            initial_headers_mm = ['Rank'] + checkbox_group_mm.value
+            print(initial_headers_mm, "111111111")
             available_headers_mm = [h for h in initial_headers_mm if h in table_mm.columns]
 
             data_component_mm = gr.components.DataFrame(
@@ -295,7 +300,7 @@ with gr.Blocks(title="Open Agent Leaderboard") as demo:
             )
 
             def filter_df_mm(fields, agents, vlms, *args):
-                headers = ['Rank'] + check_box_mm['essential'] + fields
+                headers = ['Rank'] + fields
                 df = table_mm.copy()
 
                 # Validate inputs to avoid errors

gen_table.py

@@ -240,31 +240,6 @@ def generate_table_detail(results, fields):
     
     return df
 
-def generate_multi_modal_table(results, fields):
-    res = defaultdict(list)
-    for entry in results.values():
-        # Add Agent and VLMs
-        res['Agent'].append(entry.get('Agent', 'Unknown'))
-        res['VLMs'].append(entry.get('VLMs', 'Unknown'))
-        
-        # Add numeric fields
-        for field in fields:
-            res[field].append(entry.get(field, None))
-    
-    # Create DataFrame
-    df = pd.DataFrame(res)
-    
-    # Sort by Score in descending order
-    df = df.sort_values('Score', ascending=False)
-    
-    # Add Rank column
-    df['Rank'] = range(1, len(df) + 1)
-    
-    # Rearrange column order
-    columns = ['Rank', 'Agent', 'VLMs'] + fields
-    df = df[columns]
-    
-    return df
 
 def BUILD_L3_DF(results, fields):
     res = defaultdict(list)
@@ -282,6 +257,13 @@ def BUILD_L3_DF(results, fields):
     # Create DataFrame
     df = pd.DataFrame(res)
     
+    # Remove duplicate rows based on 'Agent' and 'VLMs'
+    df = df.drop_duplicates(subset=['Agent', 'VLMs'], keep='first')
+    
+    # Ensure unique values for 'Agent' and 'VLMs'
+    df['Agent'] = df['Agent'].str.strip()
+    df['VLMs'] = df['VLMs'].str.strip()
+    
     # Sort by Score in descending order
     df = df.sort_values('Score', ascending=False)
     
@@ -291,7 +273,7 @@ def BUILD_L3_DF(results, fields):
     # Rearrange column order
     columns = ['Rank', 'Agent', 'VLMs'] + fields
     df = df[columns]
-    
+
     # Set checkbox configuration
     check_box = {}
     check_box['essential'] = ['Agent', 'VLMs']