如何使用TensorFlow的通用句子编码器将向量转换回句子？

import tensorflow as tf
import tensorflow_hub as hub

# 加载通用句子编码器模型
module_url = "https://tfhub.dev/google/universal-sentence-encoder/4"
model = hub.load(module_url)

def vector_to_sentence(vector):
    # 将向量转换为张量
    vector_tensor = tf.convert_to_tensor(vector)
    # 将张量转换为句子
    sentences = model.signatures['default'](vector_tensor)['default']
    return sentences['output_0']

# 假设有一个向量表示句子
sentence_vector = [0.1, 0.2, 0.3, ...]

# 将向量转换为句子
reconstructed_sentence = vector_to_sentence(sentence_vector)