Update app.py

app.py

@@ -101,6 +101,27 @@ 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)
 
+
+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
 
 date_string = df_a['game_date'].min()