updated leaderboard

app.py

@@ -271,19 +271,52 @@ def display_leaderboard():
     if st.button("Show Leaderboard"):
         try:
             users = load_users(USERS_JSON)
-            leaderboard = sorted(users.items(), key=lambda x: x[1], reverse=True)
+            # Convert the dataset to a pandas DataFrame
+            df_users = pd.DataFrame([{'user_name': key, 'points': value} for key, value in users.items()])
+
+            # Sort DataFrame by points in descending order
+            leaderboard = df_users.sort_values(by='points', ascending=False).reset_index(drop=True)
             
-            # Generate a list of dictionaries, each representing a row in the leaderboard
-            leaderboard_dicts = [{"Rank": rank+1, "User": user[0], "Points": user[1]} 
-                                 for rank, user in enumerate(leaderboard)]
+            # Add a 'Rank' column starting from 1
+            leaderboard['Rank'] = leaderboard.index + 1
             
-            # Convert the list of dictionaries to a DataFrame
-            df_leaderboard = pd.DataFrame(leaderboard_dicts)
+            # Reorder DataFrame columns so 'Rank' is first
+            df_leaderboard = 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_Dataset", "leaders", 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_name': 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))
+
 
 # Streamlit UI
 encoded_image = get_base64_of_image(image_path)

leaders/users.json

@@ -1,17 +1,17 @@
 {
     "Arpit": 11300,
-    "Ganesh": 5750,
+    "Ganesh": 7050,
     "Haaris": 8600,
     "Jay": 8100,
-    "Kishore": 7200,
-    "Megha": 7800,
-    "Naveein": 7800,
+    "Kishore": 8700,
+    "Megha": 9050,
+    "Naveein": 9800,
     "Neha": 5600,
     "Praveen": 11800,
-    "Rakesh": 6500,
+    "Rakesh": 8500,
     "Sai": 4720,
-    "Sahil": 8350,
-    "Sunil": 6401,
-    "Vaibhav": 5600,
-    "Vinay": 6500
+    "Sahil": 9850,
+    "Sunil": 5301,
+    "Vaibhav": 6900,
+    "Vinay": 7750
 }

users.json

@@ -1,17 +1,17 @@
 {
     "Arpit": 11300,
-    "Ganesh": 5750,
+    "Ganesh": 7050,
     "Haaris": 8600,
     "Jay": 8100,
-    "Kishore": 7200,
-    "Megha": 7800,
-    "Naveein": 7800,
+    "Kishore": 8700,
+    "Megha": 9050,
+    "Naveein": 9800,
     "Neha": 5600,
     "Praveen": 11800,
-    "Rakesh": 6500,
+    "Rakesh": 8500,
     "Sai": 4720,
-    "Sahil": 8350,
-    "Sunil": 6401,
-    "Vaibhav": 5600,
-    "Vinay": 6500
+    "Sahil": 9850,
+    "Sunil": 5301,
+    "Vaibhav": 6900,
+    "Vinay": 7750
 }