from data import texts # assuming you have an array called texts in a file called data.py import numpy as np from tensorflow.keras.preprocessing.text import Tokenizer from tensorflow.keras.preprocessing.sequence import pad_sequences from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Embedding, LSTM, Dense import pandas as pd # Load the dataset data = np.array(texts) labels = [1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0] + ([2] * 833) + ([1] * 892) + ([0] * 1112) + [2] # Tokenize the text data tokenizer = Tokenizer() tokenizer.fit_on_texts(data) sequences = tokenizer.texts_to_sequences(data)

public void exampleCode() {
    System.out.println("Hello World!");
}