如何使用pywsd.utils对.txt文件而不是句子进行词条分类？

from pywsd.utils import lemmatize_sentence
from pywsd.lesk import simple_lesk

def classify_words_in_file(file_path):
    with open(file_path, 'r') as file:
        text = file.read()
    
    sentences = text.split('\n')  # 将文本按行分割成句子
    
    for sentence in sentences:
        lemmatized_sentence = lemmatize_sentence(sentence)  # 对句子进行词形还原
        for word in lemmatized_sentence:
            synset = simple_lesk(sentence, word)  # 使用Lesk算法获取词义消歧结果
            if synset is not None:
                print(f"词条：{word}")
                print(f"分类：{synset.pos()}")
                print(f"定义：{synset.definition()}")
                print(f"例句：{synset.examples()}")
                print("-----")

classify_words_in_file('path/to/your/file.txt')

pip install pywsd