drop first column (id)

app.py

@@ -339,6 +339,7 @@ async def remove_huggingfolks():
 
         community_global_df['discord_exp'] = pd.to_numeric(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)
         top_30_rows = top_30_exp.values.tolist()
 
         print(top_30_rows)