diff --git a/cn_stopwords.txt b/cn_stopwords.txt
new file mode 100644
index 0000000..e69de29
diff --git a/main.py b/main.py
new file mode 100644
index 0000000..e49925a
--- /dev/null
+++ b/main.py
@@ -0,0 +1,262 @@
+# -*- coding=utf-8 -*-
+
+import os
+import glob
+import os
+import jieba
+import wordcloud
+from wordcloud import STOPWORDS
+from matplotlib import pyplot as plt
+
+####################################################################################
+#检验是否全是中文字符
+def is_all_chinese(strs):
+    for _char in strs:
+        if not '\u4e00' <= _char <= '\u9fa5':
+            return False
+    return True
+#检验是否包含中文字符
+def is_chinese(strs):
+    for ch in strs:
+        if u'\u4e00' <= ch <= u'\u9fff':
+            return True
+    return False
+####################################################################################
+
+
+'''
+纯中文词云
+'''
+def word_cloud_Chinese(file):
+    fb = open(file, 'r', encoding="utf-8")
+    t = fb.read()
+    fb.close()
+
+    stopwords = set()
+    content = [line.strip() for line in open('cn_stopwords.txt', 'r', encoding="utf-8").readlines()]
+    stopwords.update(content)
+
+    ls = jieba.lcut(t)
+    txt = " ".join(ls)
+    w = wordcloud.WordCloud(font_path="STSONG.TTF",
+                            width=700,
+                            height=700,
+                            background_color="white",
+                            stopwords=stopwords)
+    w.generate(txt)
+    w.to_file("123.png")
+
+    plt.imshow(w, interpolation='bilinear')
+    plt.axis('off')
+    plt.tight_layout()
+    plt.show()
+
+
+'''
+纯英文词云
+'''
+
+
+def word_cloud_English(file):
+    fb = open(file, 'r', encoding="utf-8")
+    t = fb.read()
+    fb.close()
+    w = wordcloud.WordCloud(font_path="arial.ttf",
+                            width=1000,
+                            height=700,
+                            background_color="white",
+                            stopwords=STOPWORDS)
+    w.generate(t)
+    w.to_file("123.png")
+
+    plt.imshow(w, interpolation='bilinear')
+    plt.axis('off')
+    plt.tight_layout()
+    plt.show()
+
+
+'''
+中英混合词云
+'''
+
+
+def word_cloud_English_and_Chinese(file):
+    fb = open(file, 'r', encoding="utf-8")
+    t = fb.read()
+    fb.close()
+    stopwords = set()
+    content = [line.strip() for line in open('cn_stopwords.txt', 'r', encoding="utf-8").readlines()]
+    stopwords.update(content)
+    w = wordcloud.WordCloud(font_path="STSONG.TTF",
+                            width=1000,
+                            height=700,
+                            background_color="white",
+                            stopwords=stopwords,
+                            collocations=False
+                            )
+    ls = jieba.lcut(t)
+    t = " ".join(ls)
+    w.generate(t)
+    w.to_file("123.png")
+
+    plt.imshow(w, interpolation='bilinear')
+#################################################################################################
+
+'''
+纯中文词频计数
+'''
+
+
+def Chineseword(file):
+    txt = open(file, "r", encoding='utf-8').read()
+    counts = {}  # 通过键值对的形式存储词语及其出现的次数
+    for ch in " ，。：；,《》！？“\”' ''\n'":
+        txt = txt.replace(ch, "")  # 将文本中特殊字符替换为空格
+    words = jieba.lcut(txt)  # 使用精确模式对文本进行分词
+
+    for word in words:
+        if (len(word) == 1):
+            continue
+        else:
+            counts[word] = counts.get(word, 0) + 1  # 遍历所有词语，每出现一次其对应的值加 1
+
+    items = list(counts.items())
+    items.sort(key=lambda x: x[1], reverse=True)  # 根据词语出现的次数进行从大到小排序
+    for i in range(len(items)):
+        print(items[i])
+
+
+'''
+纯英文词频计数
+'''
+
+
+def Englishword(file):
+    fb = open(file, 'r', encoding="utf-8")
+    wordfile = {}
+    for line in fb:
+        line = line.lower()
+        sword = line.strip().split()
+        for word in sword:
+            if word in wordfile:
+                wordfile[word] += 1
+            else:
+                wordfile[word] = 1
+    wordfrehigh = []
+    for wd, fy in wordfile.items():
+        wordfrehigh.append((fy, wd))
+    wordfrehigh.sort(reverse=True)
+    for wd in wordfrehigh:
+        print(wd)
+    fb.close()
+
+
+'''
+中英混合词频计数
+'''
+
+
+def English_and_Chinese(file):
+    fb = open(file, 'r', encoding="utf-8")
+    t = fb.read()
+    ls = jieba.lcut(t)
+    t = " ".join(ls)
+    t = t.lower()
+    for ch in "，。？：；’“！——、~,《》.--?;:'\"!~' ''\n'":
+        t = t.replace(ch, " ")
+    t = t.split(" ")
+
+    wordfile = {}
+    for line in t:
+        sword = line.split()
+        for word in sword:
+            if word in wordfile:
+                wordfile[word] += 1
+            else:
+                wordfile[word] = 1
+    wordfrehigh = []
+    for wd, fy in wordfile.items():
+        wordfrehigh.append((fy, wd))
+    wordfrehigh.sort(reverse=True)
+    for wd in wordfrehigh:
+        print(wd)
+    fb.close()
+###########################################################################################################
+
+if __name__ =='__main__':
+    print("欢迎使用小浣熊词云转换器")
+    print('''使用介绍：
+    1.将你想要转换成词云图的文本放入一个文件夹
+    2.告诉我们这个文件夹的地址
+    3.确认是否将文本导入（是/否）
+    4.我们会用序号标好您的所有文本，由您用序号选择转换哪一个文本
+    
+    开发团队：
+    李世健，卢婉梅，李子祥，
+    鲁朕家，兰晶晶，闭玉婷''')
+
+    print("请输入目标文件夹：")
+    targetfile=input()
+    print('是否已将文本导入')
+    fa=input()
+    while True:
+
+        if fa == '是':
+            path = targetfile
+            files = os.listdir(path)  # 得到文件夹下的所有文件名称
+            txts = []
+            i = 1
+            judg = []
+
+            for file in files:  # 遍历文件夹
+                position = path + '\\' + file  # 构造绝对路径，"\\"，其中一个'\'为转义符
+                print(i, '--- ', end='')
+                print(file, end='')
+                i = i + 1
+
+                with open(position, "r", encoding='utf-8') as f:  # 打开文件
+                    data = f.read()  # 读取文件
+                    if (is_all_chinese(data)):
+                        print("  (纯中文)")
+                        judg.append('z')
+                    else:
+                        if (is_chinese(data)):
+                            print("  (有英文有中文)")
+                            judg.append('m')
+                        else:
+                            print("  (纯英文)")
+                            judg.append('y')
+            ##################################################################################
+            print("输入你要选择的文本")
+            atwo = int(input())
+            tine = 0
+            k = 1
+            for file in files:  # 遍历文件夹
+                position = path + '\\' + file  # 构造绝对路径，"\\"，其中一个'\'为转义符
+                tine = tine + 1
+                if tine == atwo:
+                    resultlj = position
+            print(resultlj)
+            #################################################################################
+            print(judg[atwo - 1])
+            if judg[atwo - 1] == 'z':
+                word_cloud_Chinese(resultlj)
+                Chineseword(resultlj)
+
+            elif judg[atwo - 1] == 'y':
+                word_cloud_English(resultlj)
+                Englishword(resultlj)
+            else:
+                word_cloud_English_and_Chinese(resultlj)
+                English_and_Chinese(resultlj)
+        print("是否退出程序")
+        ans=input()
+        if ans=='是':
+            break
+
+
+
+
+
+
+