Split files for training en test in 2 directories

import os
from random import randrange

directory = 'C:\\GitHub\\TensorFlow\\workspace\\traininig_demo\\images'
traindir = 'C:\\GitHub\\TensorFlow\\workspace\\traininig_demo\\images\\train'
testdir = 'C:\\GitHub\\TensorFlow\\workspace\\traininig_demo\\images\\test'
for filename in os.listdir(directory):
    if filename.endswith(".xml"):
        print(os.path.join(directory, filename))
        if os.path.isfile(os.path.join(directory, filename[0:-4]+'.jpg')):
            x = randrange(100)
            if x <= 75:
                os.replace(os.path.join(directory, filename), os.path.join(traindir, filename))
                os.replace(os.path.join(directory, filename[0:-4]+'.jpg'), os.path.join(traindir, filename[0:-4]+'.jpg'))
            else:
                os.replace(os.path.join(directory, filename), os.path.join(testdir, filename))
                os.replace(os.path.join(directory, filename[0:-4]+'.jpg'), os.path.join(testdir, filename[0:-4]+'.jpg'))       
    else:
        continue

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