Optimization

app.py

@@ -43,6 +43,12 @@ repo_mat = Repository(
     local_dir="data_mat", clone_from=DATASET_REPO_URL_MAT, use_auth_token=HF_TOKEN, repo_type="dataset"
 )
 
+df_ps_train_ori = pd.read_hdf('model/df_ps_train_new.hdf')
+df_ps_train_extra = pd.read_hdf('data_train/df_ps_train_extra.hdf')
+pickle_path = 'model/giantMatrix_new.pickle'
+with open(pickle_path, 'rb') as f:
+    ps_matrix_ori = pickle.load(f)
+
 from fetchPlaylistTrackUris import *
 from recommender import *
 

recommender.py

@@ -4,15 +4,7 @@ from scipy.sparse import csr_matrix
 import numpy as np
 import pandas as pd
 from scipy.sparse import vstack
-
-
-df_ps_train_ori = pd.read_hdf('model/df_ps_train_new.hdf')
-df_ps_train_extra = pd.read_hdf('data_train/df_ps_train_extra.hdf')
-pickle_path = 'model/giantMatrix_new.pickle'
-with open(pickle_path, 'rb') as f:
-    ps_matrix_ori = pickle.load(f)
-
-
+from app import 
 
 def add_row_train(df, list_tid):
     new_pid_add = df.iloc[-1].name +1