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import os |
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import pandas as pd |
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import numpy as np |
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import datetime |
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import gradio as gr |
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os.environ["no_proxy"] = "localhost,127.0.0.1,::1" |
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s=0 |
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def visibility(): |
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return gr.Column(visible=True) |
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def Score(choice1,choice2,choice3,choice4,choice5,choice6,choice7,choice8,choice9,choice10,choice11,choice12,choice13,choice14,choice15,choice16,choice17,choice18,choice19,choice20): |
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score = 0 |
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choices = [choice1,choice2,choice3,choice4,choice5,choice6,choice7,choice8,choice9,choice10,choice11,choice12,choice13,choice14,choice15,choice16,choice17,choice18,choice19,choice20] |
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if None in choices: |
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gr.Warning("您有未勾选的题目，请确认后再次提交") |
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else: |
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for i in range(len(choices)): |
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match i: |
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case 1|4|5|10|11|13|15|16|17|19: |
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score += 4 - choices[i] |
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case _: |
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score += choices[i] + 1 |
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global s |
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s = round(1.25*score, 0) |
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if s < 53: |
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return gr.Column(visible=True),s,"被测试者无抑郁体验。心情明朗,轻松愉快,对自己身体和情绪健康有良好的感受,对自己的现状感到满意。","被试无抑郁体验，希望保持。被试的生活很开心,也很轻松,感到生活充实,健康状况良好,对未来充满希望,如果条件许可,被试可以了解一些必要的心理知识,为今后保持健康的心理奠定基础。",gr.Button(visible=True) |
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if 53 <= s <= 62: |
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return gr.Column(visible=True),s,"通过测试表明被试属于轻度抑郁。偶尔有些郁闷、压抑。被测者在遇到挫折和烦恼时,会出现暂时的情绪低落。","需要认识到这些情绪，并学习调节情绪的方法，参考建议：不要掩饰自己的负面情绪、过多地压抑自己,要学会倾诉和宣泄等方式来进行自我调节。培养积极的认知方式,改变对自己的认识,全面认识自我,悦纳自我,善待自我。",gr.Button(visible=True) |
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if 63 <= s <= 72: |
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return gr.Column(visible=True),s,"被测试者表现出中度抑郁。你最近时常出现心境低落现象，通常情况下，继续进行工作、社交或家务活动已有一定困难。","建议从以下几方面改善抑郁状态：不草率对事件下结论；学会理性的思考方式，避免情绪性推理；避免“我必须”，“我一定”这类的自我对话；对自身做出尽可能正确和公平的评价等。学会一些自我保护措施，一旦发现自己产生了抑郁的观念或行为，可以及时运用自身力量主动挑战自己的观念和行为，如“我是否只看到了生活的黑暗面？”等；相信他人的正确评价，不要否认他人的夸奖。",gr.Button(visible=True) |
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if s > 72: |
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return gr.Column(visible=True),s,"被测试者的测验结果为重度抑郁。从结果中可以看出，你总感到心境低落，总处于压抑、抑郁、悲伤、失望、沮丧或忧伤的情绪状态之中。你抑郁症状已十分明显，社会功能明显损害，除了在极有限的范围内，几乎不可能继续进行社交、工作或家务活动。","被测试者表现出重度抑郁。你的抑郁症状已十分明显，社会功能明显损害，除了在极有限的范围内，几乎不可能继续进行社交、工作或家务活动。应当尽快进行心理咨询",gr.Button(visible=True) |
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def save1(username,password,score,exp,adv): |
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if (username=='' or password==''): |
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return '请填写完整信息' |
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new_data1=[score,exp,adv] |
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user_login_df=pd.read_csv('./user_login/login.csv',encoding='gbk',converters = {'password':str}) |
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user_login=user_login_df.set_index('username')['password'].T.to_dict() |
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user_data1_df=pd.read_csv('./user_data/data_1.csv',encoding='gbk') |
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results='' |
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is_usn=(username in user_login) |
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if(is_usn): |
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pswd_crct=(password==user_login[username]) |
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if(is_usn and pswd_crct): |
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results='登录成功，存储报告成功。' |
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user_data1_df.loc[len(user_data1_df)]=[username,datetime.date.today(), |
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datetime.datetime.now().strftime('%H:%M:%S')]+new_data1 |
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user_data1_df.to_csv('./user_data/data_1.csv',encoding='gbk',index=False) |
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elif(is_usn): |
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results='密码错误！' |
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else: |
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user_login_df.loc[len(user_login_df)]=[username,password] |
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user_data1_df.loc[len(user_data1_df)]=[username,datetime.date.today(), |
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datetime.datetime.now().strftime('%H:%M:%S')]+new_data1 |
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user_login_df.to_csv('./user_login/login.csv',encoding='gbk',index=False) |
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user_data1_df.to_csv('./user_data/data_1.csv',encoding='gbk',index=False) |
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results='账户不存在，已创建新的账户并保存数据。' |
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return results |
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def clear_info(): |
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return ( |
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gr.Textbox(""), |
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gr.Textbox(""), |
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gr.Textbox(""), |
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) |
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with gr.Blocks() as scale: |
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with gr.Column(): |
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gr.Markdown("本评定量表为临床上常用于抑郁症检测的SDS(Self-rating depression scale)量表，本量表共有20个项目，请您根据最近一星期以来你的实际感受，选择一个与您的情况最相符合的答案。") |
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gr.Markdown("A：从无或偶尔（过去一周内，出现这类情况的日子不超过一天）") |
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gr.Markdown("B：有时（过去一周内，有1-2天有过这类情况）") |
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gr.Markdown("C：经常（过去一周内，有3-4天有过这类情况）") |
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gr.Markdown("D：总是如此（过去一周内，有5-7天有过类似情况）") |
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btn = gr.Button("继续") |
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with gr.Column(visible=False) as question: |
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r1 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "1.我感到心里沮丧，郁闷",type = "index") |
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r2 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "2.我感到早晨心情最好",type = "index") |
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r3 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "3.我要哭或想哭",type = "index") |
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r4 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "4.我夜间睡眠不好",type = "index") |
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r5 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "5.我吃饭像平常一样多",type = "index") |
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r6 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "6.我的性功能正常",type = "index") |
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r7 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "7.我感到体重减轻",type = "index") |
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r8 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "8.我为便秘烦恼",type = "index") |
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r9 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "9.我的心跳比平时快",type = "index") |
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r10 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "10.我无故感到疲劳",type = "index") |
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r11 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "11.我的头脑像往常一样清楚",type = "index") |
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r12 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "12.我做事情像平时一样不感到困难",type = "index") |
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r13 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "13.我坐卧不安，难以保持平静",type = "index") |
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r14 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "14.我对未来感到有希望",type = "index") |
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r15 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "15.我比平时更容易激怒",type = "index") |
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r16 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "16.我觉得决定什么事情很容易",type = "index") |
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r17 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "17.我感到自己是有用的和不可缺少的人",type = "index") |
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r18 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "18.我的生活很有意义",type = "index") |
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r19 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "19.假若我死了别人会过得更好",type = "index") |
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r20 = gr.Radio(["A.从无或偶尔","B.有时","C.经常","D.总是如此"],label = "20.我仍旧喜爱自己平时喜爱的东西",type = "index") |
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btn2 = gr.Button("提交") |
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with gr.Column(visible=False) as result: |
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score = gr.Textbox(label="得分",interactive=False) |
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exp = gr.Textbox(label="结果解释",interactive=False) |
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adv = gr.Textbox(label="指导建议",interactive=False) |
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save_btn = gr.Button("保存本次检测数据") |
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with gr.Column(visible=False) as save: |
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with gr.Row(): |
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gr.HTML("<h3 style='text-align:center;'>输入账号密码保存本次检测数据</h3><p style='text-align:center;'>若首次使用，输入账号密码后自动创建账户</p>") |
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with gr.Row(): |
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with gr.Column(scale=1): |
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input_name = gr.Textbox(label="用户名",interactive=True) |
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input_pwd = gr.Textbox(label="密码",interactive=True) |
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with gr.Row(): |
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clear_button = gr.Button("清除") |
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submit_button = gr.Button("提交保存") |
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with gr.Column(scale=1): |
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output_info = gr.Textbox(label="输出", lines=5,interactive=False) |
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btn.click(visibility,outputs=question) |
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btn2.click(Score,[r1,r2,r3,r4,r5,r6,r7,r8,r9,r10,r11,r12,r13,r14,r15,r16,r17,r18,r19,r20],[result,score,exp,adv,save_btn]) |
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save_btn.click(visibility,inputs=[],outputs=[save]) |
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clear_button.click(clear_info,inputs=[],outputs=[input_name, input_pwd, output_info]) |
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submit_button.click(save1,inputs=[input_name,input_pwd,score,exp,adv,],outputs=[output_info]) |
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