diff --git a/main.py b/main.py
deleted file mode 100644
index d5cf8bd..0000000
--- a/main.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import jieba
-from wordcloud import WordCloud
-import numpy as np
-from PIL import Image
-from matplotlib import colors
-
-f = open(r'text.txt', "r", encoding="utf-8")
-text = f.read()
-f.close()
-words_list_jieba = jieba.lcut(text)
-
-
-def findifhave(demo, stop):
-    for ret in stop:
-        if (demo == ret):
-            return 'T'
-
-
-stop = ['\n']
-with open("stop.txt", 'r', encoding='utf-8') as f1:
-    for line in f1:
-        stop.append(line.replace("\n", ""))
-f1.close()
-
-dict = {}
-for key in words_list_jieba:
-    dict[key] = dict.get(key, 0) + 1
-
-for demo in list(dict.keys()):
-    if ('T' == findifhave(demo, stop)):
-        del dict[demo]
-
-dict1 = sorted(dict.items(), key=lambda d: d[1], reverse=True)
-print(dict1)
-
-background_image = np.array(Image.open('001.png'))
-colormaps = colors.ListedColormap(['#871A84', '#BC0F6A', '#BC0F60', '#CC5F6A', '#AC1F4A'])
-wordcloud = WordCloud(font_path='SimHei.ttf',  # 字体
-                      prefer_horizontal=0.99,
-                      background_color='white',  # 背景色
-                      max_words=20,  # 显示单词数
-                      max_font_size=400,  # 最大字号
-                      stopwords=stop,  # 过滤噪声词
-                      mask=background_image,  # 背景轮廓
-                      colormap=colormaps,  # 使用自定义颜色
-                      collocations=False
-                      ).fit_words(dict)
-image = wordcloud.to_image()
-image.show()  # 展示图片
-wordcloud.to_file('词云图.png')  # 保存图片
\ No newline at end of file