diff --git a/ml/digest-score/app.py b/ml/digest-score/app.py
index 501a417be..f9c428100 100644
--- a/ml/digest-score/app.py
+++ b/ml/digest-score/app.py
@@ -90,13 +90,13 @@ def compute_interaction_score(user_id, item_features):
     'item_has_thumbnail': 1 if item_features.get('has_thumbnail') else 0,
     "item_has_site_icon": 1 if item_features.get('has_site_icon') else 0,
 
-    'item_word_count': item_features.get('words_count'), 
+    'item_word_count': item_features.get('words_count'),
     'is_subscription': 1 if item_features.get('is_subscription') else 0,
-    'is_newsletter': 1 if item_features.get('is_newsletter') else 0, 
+    'is_newsletter': 1 if item_features.get('is_newsletter') else 0,
     'is_feed': 1 if item_features.get('is_feed') else 0,
-    'days_since_subscribed': item_features.get('days_since_subscribed'), 
-    'subscription_count': item_features.get('subscription_count'), 
-    'subscription_auto_add_to_library': item_features.get('subscription_auto_add_to_library'), 
+    'days_since_subscribed': item_features.get('days_since_subscribed'),
+    'subscription_count': item_features.get('subscription_count'),
+    'subscription_auto_add_to_library': item_features.get('subscription_auto_add_to_library'),
     'subscription_fetch_content': item_features.get('subscription_fetch_content'),
 
     'has_author': 1 if item_features.get('author') else 0,
diff --git a/ml/digest-score/features/user_history.py b/ml/digest-score/features/user_history.py
index 3906e6170..289ecc64d 100644
--- a/ml/digest-score/features/user_history.py
+++ b/ml/digest-score/features/user_history.py
@@ -83,10 +83,6 @@ def parquet_to_dataframe(file_path):
     df = table.to_pandas()
     return df
 
-def load_local_raw_library_items():
-  local_file_path = '/Users/jacksonh/Downloads/data_raw_library_items_2024-03-01.parquet'
-  df = parquet_to_dataframe(local_file_path)
-  return df
 
 def load_tables_from_pickle(pickle_file):
   with open(pickle_file, 'rb') as handle:
@@ -119,14 +115,6 @@ def load_feather_files(feature_directory):
     return dataframes
 
 
-# def save_tables_to_arrow_ipc(tables, output_file):
-#   with pa.OSFile(output_file, 'wb') as sink:
-#     with pa.ipc.new_stream(sink, tables[next(iter(tables))].schema) as writer:
-#       for name, table in tables.items():
-#         print("NAME:", name, "TABLE", table)
-#         writer.write_table(table)
-
-
 def save_tables_to_arrow_ipc_with_schemas(tables, output_file):
     with pa.OSFile(output_file, 'wb') as sink:
         with pa.ipc.new_stream(sink, pa.schema([])) as writer:
@@ -153,7 +141,6 @@ def upload_to_gcs(bucket_name, source_file_name, destination_blob_name):
 
 def generate_and_upload_user_history(execution_date, gcs_bucket_name):
   df = download_raw_library_items(execution_date, gcs_bucket_name)
-  # df = load_local_raw_library_items()
   with tempfile.TemporaryDirectory() as tmpdir:
     user_preferences = aggregate_user_preferences(df, tmpdir)
     dataframes = load_feather_files(tmpdir)