diff --git a/main.py b/main.py
new file mode 100644
index 0000000..19513ab
--- /dev/null
+++ b/main.py
@@ -0,0 +1,158 @@
+import requests
+import re
+import warnings
+import json
+import jieba
+import numpy as np
+from wordcloud import WordCloud, ImageColorGenerator
+import matplotlib.pyplot as plt
+from PIL import Image
+import pandas as pd
+from collections import Counter
+
+cnt = 1
+headers = {
+     'cookie': 'b_nut=1659613422; buvid3=6C07DC9F-EE29-7F28-2B63-1BF4ECD504A422941infoc; '
+               'CURRENT_FNVAL=4048; header_theme_version=CLOSE; '
+               'buvid4=92532619-00E5-BF92-443B-595CD15DE59481123-023013113-97xIUW%2FWJtRnoJI8Rbvu4Q%3D%3D;'
+               ' enable_web_push=DISABLE; rpdid=|(u))kkYu|J|0J\'u~u|)u)RR); '
+               'hit-dyn-v2=1; FEED_LIVE_VERSION=V_WATCHLATER_PIP_WINDOW3; '
+               'LIVE_BUVID=AUTO2617189721183630; PVID=1; buvid_fp_plain=undefined; '
+               'CURRENT_QUALITY=80; _uuid=8108A2C6D-A7AD-7F210-B10E5-EA35A5B47DA391233infoc; '
+               'home_feed_column=5; browser_resolution=1545-857; '
+               'bsource=search_bing; fingerprint=0c7279b7c69b9542a76b8d9df9b7872a; '
+               'buvid_fp=0c7279b7c69b9542a76b8d9df9b7872a; '
+               'bili_ticket=eyJhbGciOiJIUzI1NiIsImtpZCI6InMwMyIsInR5cCI6IkpXVCJ9.eyJleHAiOjE3MjU0NTE2MTEsImlhdCI6MTcyNTE5MjM1MSwicGx0IjotMX0.9HAkh-aLUFL3i2asyrGNSGwvZnlCdO1qHnr8KCPYRAY; '
+               'bili_ticket_expires=1725451551; b_lsid=B7B10E6101_191B8F11FA5; bp_t_offset_1760559884=973015460700225536;'
+               ' SESSDATA=96c7142d%2C1740938493%2C3a910%2A92CjCc4yaZOS0NpMlzpaXXFlyvjHEGHEZxVtH8JQp1M7im9KrgmNTYIP2F2prPQh4WI4gSVjJtTUt1dGVjMk9SMk9HNkl5MXRWV0tISnNlYzJndGhFVFR1SHVVLWt4UTJjLS1VQ0h1THFmcUY2UU5BV1Jsa2VjTGxDYnpFcnppLVNBQkp3VXdjYzVnIIEC; '
+               'bili_jct=3a65db4d1ef7bc981b1673000e0bc73c; DedeUserID=1760559884;'
+               ' DedeUserID__ckMd5=b5c900381ecb7bcd; sid=ojanxj62',
+    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36 Edg/127.0.0.0'
+}
+# 获取弹幕地址
+
+
+def get_danmu_url(video_str):
+    url = video_str
+    response = requests.get(url=url, headers=headers)
+    html = response.text
+    cid = re.search('"cid":(.*?),', html).groups()[0]
+    danmu_url = f'https://comment.bilibili.com/{cid}.xml'
+    return danmu_url
+
+# 获取视频地址
+
+
+def get_vedio(bv):
+    vedio_url = "https://www.bilibili.com/video/"+bv
+    return vedio_url
+# 获取bv号
+
+
+def get_bvid(url, pos):
+
+    # 通过搜索api“https://api.bilibili.com/x/web-interface/search/all/v2?page=1-15&keyword=”获取前300个视频的bvid
+    res = requests.get(url=url, headers=headers).text
+    json_dict = json.loads(res)
+    return json_dict["data"]["result"][11]["data"][pos]["bvid"]
+
+# 统计弹幕次数
+
+
+def count_danmu():
+    # 打开TXT文件以读取数据
+    file_path = '弹幕.txt'
+
+    # 初始化一个空的文本字符串，用于累积所有文本数据
+    danmu_list = []
+
+    with open(file_path, 'r', encoding='utf-8') as file:
+        for line in file:
+            # 在这里处理每一行的数据
+            # 示例：将每一行的弹幕添加到danmu_list列表中
+            danmu_list.append(line.strip())
+
+    # 使用Counter统计弹幕出现次数
+    danmu_counter = Counter(danmu_list)
+    # 筛选与AI技术应用相关的弹幕
+    ai_danmu_counter = {k: v for k, v in danmu_counter.items() if 'AI' in k or '人工智能' in k}
+    # 将筛选后的弹幕转换为Counter对象
+    ai_danmu_counter = Counter(ai_danmu_counter)
+    # 获取AI技术应用方面数量排名前8的弹幕
+    top_8_ai_danmus = ai_danmu_counter.most_common(8)
+
+    # 打印排名前8的AI技术应用方面的弹幕及其出现次数
+    for idx, (danmu, count) in enumerate(top_8_ai_danmus, 1):
+        print(f'排名 #{idx}: 弹幕 "{danmu}" 出现次数：{count}')
+    #top_76016_danmus = danmu_counter.most_common(76016)
+    # 将AI技术应用方面的统计数据写入Excel
+    df = pd.DataFrame(list(ai_danmu_counter.items()), columns=['弹幕', '次数'])
+    df.to_excel('AI技术应用弹幕统计.xlsx', index=False)
+
+# 生成云图
+
+
+def make_graph():
+    text_data = ''
+    with open('AI_danmu.txt', 'r', encoding='utf-8') as file:
+        for line in file:
+            text_data += line.strip() + ' '
+
+    # 使用jieba进行中文分词
+    words = jieba.cut(text_data, cut_all=False)
+    word_list = " ".join(words) #列表转成字符串
+
+    # 加载自定义形状图片
+    shape_mask = np.array(Image.open('img.png'))
+
+    # 创建词云图对象，并设置形状
+    wordcloud = WordCloud(width=2000,
+                          background_color='white',
+                          mask=shape_mask,  # 使用自定义形状
+                          contour_width=1,
+                          contour_color='white',  # 边框颜色
+                          font_path='STKAITI.TTF',  # 用于中文显示的字体文件
+                          max_words=30000,  # 最多显示的词语数量
+                          colormap='Blues',  # 颜色映射，可以根据需要更改
+                          ).generate(word_list)
+
+    # 使用形状图片的颜色
+    image_colors = ImageColorGenerator(shape_mask)
+    wordcloud.recolor(color_func=image_colors)
+
+    # 显示词云图
+    plt.figure(figsize=(10, 5))
+    plt.imshow(wordcloud, interpolation='bilinear')
+    plt.axis('off')  # 隐藏坐标轴
+    plt.title('')
+    plt.show()
+
+
+def main():
+    # warnings.filterwarnings("ignore")
+    global cnt
+    for i in range(15):
+        url = f'https://api.bilibili.com/x/web-interface/search/all/v2?page={i}&keyword=2024巴黎奥运会'
+        for j in range(20):
+            print(cnt)
+            cnt += 1
+            bv = get_bvid(url, j)
+            vedio_url_data = get_vedio(bv)
+            danmu_url = get_danmu_url(vedio_url_data)
+        # print(danmu_url)
+            response = requests.get(url=danmu_url, headers=headers)
+            response.encoding = response.apparent_encoding
+            pattern = '<d p=".*?">(.*?)</d>'
+            datalist = re.findall(pattern, response.text)
+        # print(DataList)
+            f = open('弹幕.txt', mode='a', encoding='utf-8')
+            for k in range(len(datalist)):
+                f.write(datalist[k]+'\n')
+            f.close()
+    warnings.filterwarnings("ignore")
+    count_danmu()
+    make_graph()
+
+
+if __name__ == '__main__':
+    main()
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