Updated leads repo

app.py

@@ -269,53 +269,31 @@ def display_predictions():
 def display_leaderboard():
     if st.button("Show Leaderboard"):
         try:
-            users = load_users(USERS_JSON)
+            # Load the 'leaders' configuration or split from your dataset
+            dataset = load_dataset("Jay-Rajput/DIS_IPL_Leads", split='train')
             # Convert the dataset to a pandas DataFrame
-            df_users = pd.DataFrame([{'User': key, 'Points': value} for key, value in users.items()])
+            df_users = pd.DataFrame(dataset)
+            
+            # Transform the DataFrame to have 'user_name' and 'points' columns
+            users_data = []
+            for column in df_users.columns:
+                points = df_users[column].iloc[0]  # Assuming the first (and only) row contains the points for each user
+                users_data.append({'User': column, 'Points': points})
 
+            df_leaderboard = pd.DataFrame(users_data)
+            
             # Sort DataFrame by points in descending order
-            leaderboard = df_users.sort_values(by='Points', ascending=False).reset_index(drop=True)
+            df_leaderboard = df_leaderboard.sort_values(by='Points', ascending=False)
             
             # Add a 'Rank' column starting from 1
-            leaderboard['Rank'] = leaderboard.index + 1
+            df_leaderboard['Rank'] = range(1, len(df_leaderboard) + 1)
             
-            # Reorder DataFrame columns so 'Rank' is first
-            df_leaderboard = leaderboard[['Rank', 'User', 'Points']]
+            # Select and order the columns for display
+            df_leaderboard = df_leaderboard[['Rank', 'User', 'Points']]
             
             st.dataframe(df_leaderboard, hide_index=True)
-        except FileNotFoundError:
-            st.write("Leaderboard data not available.")
-
-
-# def display_leaderboard():
-#     if st.button("Show Leaderboard"):
-#         try:
-#             # Load the 'leaders' configuration or split from your dataset
-#             dataset = load_dataset("Jay-Rajput/DIS_IPL_Leads", split='train')
-#             # Convert the dataset to a pandas DataFrame
-#             df_users = pd.DataFrame(dataset)
-            
-#             # Transform the DataFrame to have 'user_name' and 'points' columns
-#             # Since your JSON structure is quite unique, this step may need adjustment based on how the DataFrame is loaded
-#             users_data = []
-#             for column in df_users.columns:
-#                 points = df_users[column].iloc[0]  # Assuming the first (and only) row contains the points for each user
-#                 users_data.append({'User': column, 'Points': points})
-
-#             df_leaderboard = pd.DataFrame(users_data)
-            
-#             # Sort DataFrame by points in descending order
-#             df_leaderboard = df_leaderboard.sort_values(by='Points', ascending=False)
-            
-#             # Add a 'Rank' column starting from 1
-#             df_leaderboard['Rank'] = range(1, len(df_leaderboard) + 1)
-            
-#             # Select and order the columns for display
-#             df_leaderboard = df_leaderboard[['Rank', 'User', 'Points']]
-            
-#             st.dataframe(df_leaderboard, hide_index=True)
-#         except Exception as e:
-#             st.write("Failed to load leaderboard data: ", str(e))
+        except Exception as e:
+            st.write("Failed to load leaderboard data: ", str(e))
 
 
 # Streamlit UI