fillna(0)

app.py

@@ -492,7 +492,7 @@ async def remove_huggingfolks():
         community_global_df.drop(community_global_df.columns[2], axis=1, inplace=True)
         community_global_df.drop(community_global_df.columns[2], axis=1, inplace=True)
         community_global_df['total_exp'] = community_global_df['total_exp'].str.strip('L').astype(int)
-        community_global_df['total_exp'] = pd.to_numeric(community_global_df['total_exp'])
+        community_global_df['total_exp'] = pd.to_numeric(community_global_df['total_exp'], errors='coerce').fillna(0).astype(int)
         community_global_df = community_global_df.nlargest(len(community_global_df), 'total_exp')        
         
         top_30_exp = community_global_df.nlargest(30, 'total_exp')