temp

corruptedTrain = [] # The structure is [Cypher, Text]
file = open(myDrive + 'Text.txt', 'r')

for sentence in file:
    sentence = sentence.replace(' ', '').replace('\n', '').upper()
    if len(sentence) >= 32:
        sentence = sentence[:32] # Use first 32 chars.
        text = torch.tensor([vocab.index(i) for i in sentence])
        cypher = (text + NUMERIC_KEY) % 26 # Perform encryption
        dashNumber = random.randint(1, 4) # Number of corrupted chars.
        for _ in range(dashNumber):
            tryAgain = True
            while tryAgain: # Avoid placing two dashes on the same position.
                i = random.randint(0, len(sentence)-1)
                if cypher[i] != 25: # If there's not dash
                    cypher[i] = 25
                    tryAgain = False
        corruptedTrain.append([cypher, text])