def test():
model = Model("data.txt", max_size)
model.load()
checker = Checker()
print(">", end='')
while True:
text = input()
print("Input :", text)
output = model.test(text)
print("Output:", output)
fixed = checker.correct(output[0])
print("Fixed :", fixed)
print(">", end='')
def train():
with tf.device('/GPU:0'):
model = Model("data.txt", max_size)
model.load()
model.train(50)
