testing for gradio

app.py

@@ -337,10 +337,12 @@ async def remove_huggingfolks():
 
         print(community_global_df)
 
+        community_global_df.drop(community_global_df.columns[0], axis=1, inplace=True)
         community_global_df['discord_exp'] = pd.to_numeric(community_global_df['discord_exp'])
+        community_global_df = community_global_df.nlargest(len(community_global_df), 'discord_exp')        
+        
         top_30_exp = community_global_df.nlargest(30, 'discord_exp')
-        top_30_exp.drop(top_30_exp.columns[0], axis=1, inplace=True)
-        community_global_df = top_30_exp.copy() # for gradio
+        #community_global_df = top_30_exp.copy() # for gradio
         
         top_30_exp['D'] = ['🥇','🥈','🥉','','','','','','','','','','','','','','','','','','','','','','','','','','','']
         top_30_rows = top_30_exp.values.tolist()