# name = 'Daniel Dantas (actor brazilian actress)'

# bad_words = ['actor', 'brazilian', 'actress']

# for word in bad_words:
#     if word in name.lower():
#         name = name.replace(word, '')

# print(name)

# import sqlite3
# conn = sqlite3.connect('database.db')
# cursor = conn.cursor()

# cursor.execute('''
#     CREATE TABLE file_contents (
#         id INTEGER NOT NULL, 
#         name VARCHAR(300), 
#         data BLOB, 
#         PRIMARY KEY (id)
#     )
# ''')

# conn.commit()

from face_rec import get_encoded_faces_database, classify_face, os, shutil
# import six
# print(six.MAXSIZE)

# print(classify_face('test.jpg'))
# get_encoded_faces_database()
