Update app.py

app.py

@@ -101,26 +101,26 @@ dataset = load_dataset('nesticot/mlb_data', data_files=['aaa_pitch_data_2024.csv
 dataset_train = dataset['train']
 df_a = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
 
-from api_scraper import MLB_Scrape
-from datetime import datetime, timedelta
-mlb_stats = MLB_Scrape()
-schedule_spring = mlb_stats.get_schedule(year_input=2024,
-                       sport_id=11,
-                       start_date='2024-01-01',
-                       end_date='2024-12-31',
-                       final=False,
-                       regular=True,
-                       spring=False)
-
-schedule_spring = schedule_spring.drop_duplicates(subset=['game_id'])
-
-schedule_spring = schedule_spring[(schedule_spring['date']==(datetime.today() - timedelta(hours=8)).date())]
-
-
-data = mlb_stats.get_data(schedule_spring.game_id[:].values)
-df_2023_new = mlb_stats.get_data_df(data_list = data)
-df_a = pd.concat([df_a,df_2023_new])
-df_a = df_a.drop_duplicates(subset=['play_id'],keep='last')
+# from api_scraper import MLB_Scrape
+# from datetime import datetime, timedelta
+# mlb_stats = MLB_Scrape()
+# schedule_spring = mlb_stats.get_schedule(year_input=2024,
+#                        sport_id=11,
+#                        start_date='2024-01-01',
+#                        end_date='2024-12-31',
+#                        final=False,
+#                        regular=True,
+#                        spring=False)
+
+# schedule_spring = schedule_spring.drop_duplicates(subset=['game_id'])
+
+# schedule_spring = schedule_spring[(schedule_spring['date']==(datetime.today() - timedelta(hours=8)).date())]
+
+
+# data = mlb_stats.get_data(schedule_spring.game_id[:].values)
+# df_2023_new = mlb_stats.get_data_df(data_list = data)
+# df_a = pd.concat([df_a,df_2023_new])
+# df_a = df_a.drop_duplicates(subset=['play_id'],keep='last')
 
 
 import datetime