python
from sumy.parsers.plaintext import PlaintextParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.summarizers.lex_rank import LexRankSummarizer
with open('test.txt', 'r', encoding='utf-8') as file:
text = file.read()
parser = PlaintextParser.from_string(text, Tokenizer('chinese'))
summarizer = LexRankSummarizer()
summary_length = 3
summary = summarizer(parser.document, summary_length)
for sentence in summary:
print(sentence)
