Update app.py

app.py

@@ -76,48 +76,6 @@ def get_metadata(model_id):
         return None
 
 
-# def parse_metrics_accuracy(meta):
-#     if "model-index" not in meta:
-#         return None
-#     result = meta["model-index"][0]["results"]
-#     metrics = result[0]["metrics"]
-#     accuracy = metrics[0]["value"]
-#     return accuracy
-
-
-# def parse_rewards(accuracy):
-#     default_std = -1000
-#     default_reward = -1000
-#     if accuracy != None:
-#         accuracy = str(accuracy)
-#         parsed = accuracy.split("+/-")
-#         if len(parsed) > 1:
-#             mean_reward = float(parsed[0].strip())
-#             std_reward = float(parsed[1].strip())
-#         elif len(parsed) == 1:  # only mean reward
-#             mean_reward = float(parsed[0].strip())
-#             std_reward = float(0)
-#         else:
-#             mean_reward = float(default_std)
-#             std_reward = float(default_reward)
-
-#     else:
-#         mean_reward = float(default_std)
-#         std_reward = float(default_reward)
-#     return mean_reward, std_reward
-
-
-# def rank_dataframe(dataframe):
-#     dataframe = dataframe.sort_values(
-#         by=["Cumulative Reward", "User", "Model"], ascending=False
-#     )
-#     if not "Ranking" in dataframe.columns:
-#         dataframe.insert(0, "Ranking", [i for i in range(1, len(dataframe) + 1)])
-#     else:
-#         dataframe["Ranking"] = [i for i in range(1, len(dataframe) + 1)]
-#     return dataframe
-
-
 def update_leaderboard_dataset_parallel(hivex_env, path):
     # Get model ids associated with hivex_env
     model_ids = get_model_ids(hivex_env)
@@ -147,8 +105,9 @@ def update_leaderboard_dataset_parallel(hivex_env, path):
     data = [row for row in data if row is not None]
 
     # ranked_dataframe = rank_dataframe(pd.DataFrame.from_records(data))
-    # new_history = ranked_dataframe
-    new_history = pd.DataFrame.from_records(data)
+    ranked_dataframe = pd.DataFrame.from_records(data)
+    
+    new_history = ranked_dataframe
     file_path = path + "/" + hivex_env + ".csv"
     new_history.to_csv(file_path, index=False)