问如何根据文本文件(60k字符)生成类似的内容

EN

import markovify
import spacy

FILE = "book.txt"

with open(FILE, "r") as file:
    book = file.read()

nlp = spacy.load("en_core_web_sm")
doc = nlp(cleaned)
sentences = " ".join([sent.text for sent in doc.sents if len(sent.text) > 1])
generator = markovify.Text(sentences, state_size=3)

output = ""

for _ in range(100):
    output += generator.make_sentence() + " "

print(output)