import random
import numpy as np
import tensorflow as tf
from keras import layers
from keras import models
from keras import optimizers

filepath = tf.keras.utils.get_file('shakespeare.txt',
                                   'https://storage.googleapis.com/download.tensorflow.org/data/shakespeare.txt')

text = open(filepath, 'rb').read().decode(encoding='utf-8').lower()

text = text[300000:800000]

characters = sorted(set(text))

char_to_index = dict((c, i) for i, c in enumerate(characters))  
index_to_char = dict((i, c) for i, c in enumerate(characters))  

SEQ_LENGTH = 40 
STEP_SIZE = 3  

sentences = []
next_characters = []

for i in range(0, len(text) - SEQ_LENGTH, STEP_SIZE):
    sentences.append(text[i: i + SEQ_LENGTH])
    next_characters.append(text[i: i + SEQ_LENGTH])

x = np.zeros((len(sentences), SEQ_LENGTH, len(characters)), dtype=np.bool_)
y = np.zeros((len(sentences), len(characters)), dtype=np.bool_)

for i, sentence in enumerate(sentences):
    for t, character in enumerate(sentence):
        x[i, t, char_to_index[character]] = 1
    y[i, char_to_index[next_characters[i]]] = 1

model = models.Sequential()
model.add(layers.LSTM(128, input_shape=(SEQ_LENGTH, len(characters))))  
model.add(layers.Dense(len(characters)))
model.add(layers.Activation('softmax'))

model.compile(loss='categorical_crossentropy', optimizer=optimizers.RMSprop(lr=0.01))

model.fit(x, y, batch_size=256, epochs=4)

model.save('textgenerator.model')

When I am running this code, it is giving me the fallowing error: “Process finished with exit code 132 (interrupted by signal 4: SIGILL).”
I was fallowing the tutorial by NeuralNine: https://www.youtube.com/watch?v=QM5XDc4NQJo&list=PL7yh-TELLS1G9mmnBN3ZSY8hYgJ5kBOg-

What neural Nine got