如何使用Python创建显示文本中最常见的二元语法的单词云？

import nltk
from nltk import bigrams
from wordcloud import WordCloud
import matplotlib.pyplot as plt

text = "这里是你的文本数据"
text = text.lower()  # 将文本转换为小写
tokens = nltk.word_tokenize(text)  # 分词
bigram_tokens = list(bigrams(tokens))  # 生成二元语法的词对

freq_dist = nltk.FreqDist(bigram_tokens)  # 统计词对的频率

wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(freq_dist)  # 创建单词云
plt.figure(figsize=(10, 5))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis('off')
plt.show()