如何将机器人绑定到关于不一致的特定聊天

import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, LSTM, Embedding

# 假设我们有一个简单的意图识别任务
# 数据集：['hello', 'goodbye', 'thanks']
# 标签：[0, 1, 2]

# 数据预处理
texts = ['hello', 'goodbye', 'thanks']
labels = [0, 1, 2]
vocab_size = 10000
embedding_dim = 64
max_length = 10

tokenizer = tf.keras.preprocessing.text.Tokenizer(num_words=vocab_size)
tokenizer.fit_on_texts(texts)
sequences = tokenizer.texts_to_sequences(texts)
padded_sequences = tf.keras.preprocessing.sequence.pad_sequences(sequences, maxlen=max_length)

# 构建模型
model = Sequential()
model.add(Embedding(input_dim=vocab_size, output_dim=embedding_dim, input_length=max_length))
model.add(LSTM(64))
model.add(Dense(3, activation='softmax'))

model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])
model.fit(padded_sequences, labels, epochs=10)

# 预测
new_texts = ['hello there', 'see you later']
new_sequences = tokenizer.texts_to_sequences(new_texts)
new_padded_sequences = tf.keras.preprocessing.sequence.pad_sequences(new_sequences, maxlen=max_length)
predictions = model.predict(new_padded_sequences)
print(predictions)