diff --git a/demo.py b/demo.py
index cbc42dc..f94597b 100644
--- a/demo.py
+++ b/demo.py
@@ -2,8 +2,8 @@ import requests
 from bs4 import BeautifulSoup
 import re
 import time
-import random
-import jieba  
+import jieba
+import random  
 import wordcloud  
 import matplotlib.pyplot as plt
 import pandas as pd  
@@ -73,13 +73,12 @@ def get_danmu(id):
     html = response.text
     soup = BeautifulSoup(html) #使用beautifulsoup库快速查找我们想要的信息
     all_txt = soup.findAll("d") #寻找到所有包含d的行
-    txt=[all_txts.attrs ["p"]for all_txts in all_txt] #寻找到所有包含d的行中属性为p的值，这里边包含了弹幕的虚拟id等
     txtss=[all_txts.string for all_txts in all_txt] #寻找到所有包含d的行中的字符串数据，即弹幕内容
     txtsss=[txts.replace(' ','') for txts in txtss] #将字符串中的空格消除掉
     videosnumber = videosnumber  +1
     bulletnumber = len(txtsss)
     print( f"这是第{videosnumber}视频, 获取到{bulletnumber}弹幕")
-    time.sleep(random.randint(0,2)+random.random())
+    time.sleep(random.randint(0,1))
     return(txtsss) ###打印便可看见一条条弹幕的属性和内容了。
 
 #翻页
@@ -88,10 +87,10 @@ def page(url,num):
     url=f'https://search.bilibili.com/video?keyword=2024巴黎奥运会&page={num}'
     return url
 
-#处理弹幕
+#词云图
 def wcloud(alltxt):
     danmustr=''.join(i for i in alltxt) #将所有弹幕拼接在一起
-    words=list(jieba.cut(danmustr))  ###利用jieba库将弹幕按词进行切分
+    words=list(jieba.cut(danmustr))  #利用jieba库将弹幕按词进行切分
     words=[i for i in words if len(i)>1] ###挑出长度大于1的词语（为去除诸如？，哈，啊等字符）
     wc=wordcloud.WordCloud(height=1000,width=1000,font_path='simsun.ttc')#利用wordcloud库定义词云图片的信息
     wc.generate(' '.join(words))   ##生成图片
@@ -99,6 +98,7 @@ def wcloud(alltxt):
     plt.imshow(wc)
     plt.show()
 
+#提取AI相关弹幕
 def sort(txt, keywords):
     
     comment_counter = Counter()
@@ -119,13 +119,13 @@ def save_to_excel(danmu_data, filename='danmu_data.xlsx'):
 
 # 主函数
 def main(kword,mubiao):
+    alltxt=[]
     search_url= f'https://search.bilibili.com/video?keyword={kword}'
     for i in range(100):
         search_url=page(search_url,i)
         page_content = get_search_page(search_url)
         video_links = extract_video_links(page_content)
         bvs = extract__BV(video_links)
-        alltxt=[]
         cids = []
         cids = get_cid_from_bv(bvs)
         for id in cids:
@@ -137,7 +137,7 @@ def main(kword,mubiao):
 
 # 示例搜索页 URL（需要替换为实际的搜索页 URL）
 keword = "2024巴黎奥运会" #视频关键词
-flag = 10 #你要爬的视频数量
+flag = 300 #你要爬的视频数量
 
 alltxt=main(keword,flag)
 wcloud(alltxt)