Update app.py

app.py

@@ -27,11 +27,13 @@ year_input = 2024
 
 
 ### Import Datasets
-dataset = load_dataset('nesticot/mlb_data', data_files=['mlb_pitch_data_2024.csv' ])
-dataset_train = dataset['train']
-df_2023_mlb = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
+# dataset = load_dataset('nesticot/mlb_data', data_files=['mlb_pitch_data_2024.csv' ])
+# dataset_train = dataset['train']
+# df_2023_mlb = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
 
 
+df_2023_mlb = pd.read_parquet(f"hf://datasets/TJStatsApps/mlb_data/data/mlb_pitch_data_2025.parquet")
+
 # from api_scraper import MLB_Scrape
 # mlb_stats = MLB_Scrape()
 # schedule_spring = mlb_stats.get_schedule(year_input=2024,
@@ -55,9 +57,12 @@ df_2023_mlb = dataset_train.to_pandas().set_index(list(dataset_train.features.ke
 
 
 ### Import Datasets
-dataset = load_dataset('nesticot/mlb_data', data_files=['aaa_pitch_data_2024.csv' ])
-dataset_train = dataset['train']
-df_2023_aaa = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
+# dataset = load_dataset('nesticot/mlb_data', data_files=['aaa_pitch_data_2024.csv' ])
+# dataset_train = dataset['train']
+# df_2023_aaa = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
+
+df_2023_aaa = pd.read_parquet(f"hf://datasets/TJStatsApps/mlb_data/data/aaa_pitch_data_2025.parquet")
+
 
 df_2023_mlb['level'] = 'MLB'
 df_2023_aaa['level'] = 'AAA'