enhanced admin panel

app.py

@@ -9,9 +9,8 @@ from pathlib import Path
 import pandas as pd
 import pytz
 import streamlit as st
-from datasets import load_dataset
+from datasets import Dataset, load_dataset
 from huggingface_hub import CommitScheduler, HfApi
-from datasets import Dataset
 
 # File paths as constants
 PREDICTIONS_CSV = 'dis_predictions.csv'
@@ -348,10 +347,11 @@ with st.expander("Leaderboard 🏆"):
 ############################# Admin Panel ##################################
 ADMIN_PASSPHRASE = "admin123"
 
+
 def fetch_latest_predictions(match_id):
     dataset = load_dataset("Jay-Rajput/DIS_IPL_Dataset", name="predictions")
     # Convert to pandas DataFrame
-    df = dataset.to_pandas()
+    df = pd.DataFrame(dataset)
     # Remove duplicate rows
     df_unique = df.drop_duplicates(subset=['user_name'])
     predictions = df_unique['train'].filter(lambda example: example['match_id'] == match_id)
@@ -366,11 +366,11 @@ def save_match_outcomes(outcomes):
 def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match):
     # Fetch latest predictions from the dataset repo
     predictions = fetch_latest_predictions(match_id)
-    
+
     outcomes = load_data(OUTCOMES_JSON)  # Load existing match outcomes
     # Load existing match outcomes and user data from the test split
     dataset = load_dataset("Jay-Rajput/DIS_IPL_Dataset", name="leaders")
-    users = dataset.to_pandas()
+    users = pd.DataFrame(dataset)
 
     # Directly update or add the match outcome
     outcome_exists = False