upload main part

chat.py

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+import os
+
+import gradio as gr
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+# from paddlenlp import Taskflow
+
+
+def visibility(choice):
+    if choice == "不好":
+        return gr.Column(visible=True), gr.Radio(visible=False)
+    else:
+        return gr.Column(visible=False), gr.Radio(visible=True)
+
+
+def visibility2():
+    return gr.Radio(visible=True)
+
+
+def visibility3(choice):
+    if choice == "不好":
+        return gr.Column(visible=True), gr.Column(visible=False)
+    else:
+        return gr.Column(visible=False), gr.Column(visible=True)
+
+
+def visibility4():
+    return gr.Column(visible=True)
+
+
+def visibility5(choice):
+    if choice == "不好":
+        return (
+            gr.Column(visible=True),
+            gr.Column(visible=False),
+            gr.Column(visible=False),
+        )
+    else:
+        return (
+            gr.Column(visible=False),
+            gr.Column(visible=False),
+            gr.Column(visible=True),
+        )
+
+
+def advice(ans1, ans2, ans3, ans4, ans5, ans6):
+    return gr.Textbox(visible=True, value="结束~")
+
+
+with gr.Blocks() as chat:
+    gr.Markdown("让我们来聊聊天吧~")
+    with gr.Column():
+        radio1 = gr.Radio(["好", "不好"], label="你最近睡眠还好吗？")
+        with gr.Column(visible=False) as q1:
+            ans1 = gr.Textbox(
+                label="你入睡的时间一般在几点？一直持续地睡到几点醒来？醒来后是否还能入睡？"
+            )
+            with gr.Accordion(label="示例"):
+                gr.Markdown(
+                    "我睡眠还好/我最近睡眠不太好，有点失眠/我最近睡眠不好，容易早醒"
+                )
+            btn1 = gr.Button("继续")
+        radio2 = gr.Radio(["好", "不好"], label="你最近食欲还好吗？", visible=False)
+        with gr.Column(visible=False) as q2:
+            ans2 = gr.Textbox(label="你体重上有什么变化吗？比如说增重或消瘦？")
+            with gr.Accordion(label="示例"):
+                gr.Markdown("")
+            btn2 = gr.Button("继续")
+        radio3 = gr.Radio(["好", "不好"], label="你最近心情还好吗？", visible=False)
+        with gr.Column(visible=False) as q3:
+            ans3 = gr.Textbox(label="你心情不好持续了多长时间呢？有在两周以上吗？")
+            with gr.Accordion(label="示例"):
+                gr.Markdown("")
+            btn3 = gr.Button("继续")
+        with gr.Column(visible=False) as q4:
+            ans4 = gr.Textbox(
+                label="你这段时间真的很不容易，愿意和我说说吗？说什么都可以，也许倾诉出来会好一些呢"
+            )
+            btn4 = gr.Button("抱抱你")
+        with gr.Column(visible=False) as q5:
+            ans5 = gr.Textbox(
+                label="你有什么兴趣爱好吗？平常都喜欢干什么事情呢？愿意和我说说吗？"
+            )
+            btn5 = gr.Button("继续")
+        with gr.Column(visible=False) as q6:
+            ans6 = gr.Textbox(
+                label="5.你愿意和我聊聊你最近都喜欢干些什么，或者有什么事情让你很沉浸，感到开心或者觉得很有意义吗？还有那些让你觉得自己很厉害，很有成就感的事情,比如说你做成了什么有难度的事情或者帮助了谁？什么都可以哦"
+            )
+            btn6 = gr.Button("提交")
+        adv = gr.Textbox(visible=False)
+    radio1.change(visibility, radio1, [q1, radio2])
+    btn1.click(visibility2, outputs=radio2)
+    radio2.change(visibility, radio2, [q2, radio3])
+    btn2.click(visibility2, outputs=radio3)
+    radio3.change(visibility5, radio3, [q3, q4, q5])
+    btn3.click(visibility4, outputs=q4)
+    btn4.click(visibility4, outputs=q5)
+    btn5.click(visibility4, outputs=q6)
+    btn6.click(advice, [ans1, ans2, ans3, ans4, ans5, ans6], adv)

consult.py

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+import gradio as gr
+import os
+from consult_func import (
+    advice,
+    visibility,
+    visibility3,
+    visibility4,
+    visibility_choice,
+    visibility_choice2,
+    visibility_choice3,
+    visibility_choice4,
+    visibility_choice5,
+)
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+# constants
+schema = "情感倾向[正向，负向]"  # Define the schema for sentence-level sentiment classification
+# 定义音频模态下权重
+weight_speech = 0.2
+weight_text = 0.8
+# 定义视频模态下权重
+weight_video = 0.3
+weight_speech2 = 0.1
+weight_text2 = 0.6
+
+
+# scores
+score1 = 0  # 第一道问答题：你这段时间真的很不容易，愿意和我说说吗？说什么都可以，也许倾诉出来会好一些呢
+score2 = 0  # 第二道问答题：你有什么兴趣爱好吗？平常都喜欢干什么事情呢？愿意和我说说吗？
+score3 = 0  # 第三道问答题：
+
+# video model
+
+
+# speech model
+
+
+# text model
+# ie = Taskflow('information_extraction', schema=schema, model='uie-base')
+
+# 以下为调用语音模型
+
+
+with gr.Blocks() as consult:
+    gr.Markdown(
+        "欢迎来到这里，接下来我们来放松地聊聊天，你只要如实完整地回答我的问题就好了。"
+    )
+    btn1 = gr.Button("开始")
+    with gr.Column(visible=False) as questions:
+        # 睡眠问题
+        title1 = gr.Markdown("# 睡眠")
+        radio1 = gr.Radio(
+            ["充足", "不足"],
+            label="你最近睡眠还充足吗？",
+            type="index",
+            interactive=True,
+        )
+        with gr.Column(visible=False) as q1_1:
+            radio2 = gr.Radio(
+                ["存在", "不存在"],
+                label="你会存在嗜睡的情况吗？比如容易一直睡过整个上午甚至一直持续睡到下午？",
+                interactive=True,
+            )
+        with gr.Column(visible=False) as q1_2:
+            radio3 = gr.Radio(
+                ["不存在", "失眠", "早醒"],
+                label="你是否存在失眠或早醒的情况？",
+                interactive=True,
+            )
+        adv1 = gr.Textbox(visible=False)
+
+        # 饮食问题
+        title2 = gr.Markdown("# 饮食", visible=False)
+        radio4 = gr.Radio(
+            [
+                "食欲正常，没有体重上的明显变化",
+                "食欲亢进，体重增加",
+                "食欲不振，体重减轻",
+            ],
+            type="index",
+            label="你最近食欲如何？有任何体重上的变化吗？",
+            visible=False,
+            interactive=True,
+        )
+
+        # 情绪问题
+        title3 = gr.Markdown("# 情绪", visible=False)
+        radio5 = gr.Radio(
+            ["好", "不好"], label="你最近心情还好吗？", visible=False, interactive=True
+        )
+        radio6 = gr.Radio(
+            ["一周以内", "一周至两周", "两周以上"],
+            label="你心情不好持续了多长时间呢？",
+            visible=False,
+            interactive=True,
+        )
+        with gr.Column(visible=False) as q3_2:
+            gr.Markdown(
+                "你这段时间真的很不容易，愿意和我说说吗？说什么都可以，也许倾诉出来会好一些呢"
+            )
+            radio7 = gr.Radio(
+                ["文本", "语音", "视频"],
+                label="请选择以哪种方式回答",
+                type="index",
+                interactive=True,
+            )
+            with gr.Column(visible=False) as ans3_1:  # 文本回答
+                text3_1 = gr.Textbox(interactive=True)
+                btn3_1 = gr.Button("抱抱你")
+            # 请把audio3_2换成Audio组件
+            with gr.Column(visible=False) as ans3_2:  # 语音回答
+                audio3_2 = gr.Textbox(
+                    label="抑郁概率", interactive=True
+                )  # 对应out_prob.squeeze(0).numpy()[0]
+                btn3_2 = gr.Button("抱抱你")
+            # 请把video3_3换成Video组件
+            with gr.Column(visible=False) as ans3_3:  # 视频回答
+                with gr.Row() as video3_3:
+                    # 我也不知道以下这些概率如何调用，你知道就好
+                    emo0_3_3 = gr.Textbox(label="Neutral", interactive=True)
+                    emo1_3_3 = gr.Textbox(label="Happiness", interactive=True)
+                    emo2_3_3 = gr.Textbox(label="Sadness", interactive=True)
+                    emo3_3_3 = gr.Textbox(label="Surprise", interactive=True)
+                    emo4_3_3 = gr.Textbox(label="Fear", interactive=True)
+                    emo5_3_3 = gr.Textbox(label="Disgust", interactive=True)
+                    emo6_3_3 = gr.Textbox(label="Anger", interactive=True)
+                btn3_3 = gr.Button("抱抱你")
+        # 自杀倾向问题
+        radio8 = gr.Radio(
+            ["想过", "没想过"],
+            label="你想过死吗?",
+            visible=False,
+            type="index",
+            interactive=True,
+        )
+        radio9 = gr.Radio(
+            ["想过", "没想过"],
+            label="那你想过怎么死吗？",
+            visible=False,
+            type="index",
+            interactive=True,
+        )
+        radio10 = gr.Radio(
+            [
+                "没想过",
+                "想过，没想过具体时间和地点",
+                "想过具体做法，时间和地点，没实践过",
+                "实践过",
+            ],
+            label="那你想过具体的做法吗？",
+            visible=False,
+        )
+        dead_hug = gr.Markdown(
+            "很抱歉听到这些话，我们非常理解并关心你的情绪，我们明白产生自杀念头的原因是复杂的，并不是你的过错。如果你愿意的话，可以多来找我们聊聊天，我们愿意充当你的知心好友，并且承诺对你说的所有话严格保密。如果可以的话，我们还建议你积极寻求专业心理医生的帮助，和他们聊聊天，讲讲自己的感受。加油！\n",
+            visible=False,
+        )
+
+        # 兴趣爱好
+        with gr.Column(visible=False) as q4:
+            title4 = gr.Markdown("# 兴趣爱好")
+            gr.Markdown("你有什么兴趣爱好吗？平常都喜欢干什么事情呢？愿意和我说说吗？")
+            radio11 = gr.Radio(
+                ["文本", "语音", "视频"],
+                label="请选择以哪种方式回答",
+                type="index",
+                interactive=True,
+            )
+            with gr.Column(visible=False) as ans4_1:
+                text4_1 = gr.Textbox(interactive=True)
+                btn4_1 = gr.Button("继续")
+                result4_1 = gr.Textbox(label="结果4_1")
+            # 请把audio4_2换成Audio组件
+            with gr.Column(visible=False) as ans4_2:
+                audio4_2 = gr.Audio(
+                    label="语音录制", interactive=True, sources=["microphone"]
+                )  # 对应out_prob.squeeze(0).numpy()[0]
+                btn4_2 = gr.Button("继续")
+                result4_2 = gr.Textbox(label="结果4_2")
+            # 请把video4_3换成Video组件
+            with gr.Column(visible=False) as ans4_3:
+                video4_3 = gr.Video(sources=["webcam", "upload"],interactive=True,)
+                btn4_3 = gr.Button("继续")
+                result4_3 = gr.Textbox(label="结果4_3")
+
+        # 针对无价值感、无意义感、无力感
+
+        with gr.Column(visible=False) as q5:
+            title5 = gr.Markdown("# 近期情况")
+            gr.Markdown(
+                "你愿意和我聊聊你最近都喜欢干些什么，或者有什么事情让你很沉浸，感到开心或者觉得很有意义吗？还有那些让你觉得自己很厉害，很有成就感的事情,比如说你做成了什么有难度的事情或者帮助了谁？什么都可以哦"
+            )
+            radio12 = gr.Radio(
+                ["文本", "语音", "视频"],
+                label="请选择以哪种方式回答",
+                type="index",
+                interactive=True,
+            )
+            with gr.Column(visible=False) as ans5_1:
+                text5_1 = gr.Textbox(interactive=True)
+                btn5_1 = gr.Button("提交")
+                result5_1 = gr.Textbox(label="结果5_1")
+            # 请把audio5_2换成Audio组件
+            with gr.Column(visible=False) as ans5_2:
+                audio5_2 = gr.Audio(
+                    label="语音录制", interactive=True
+                )  # 对应out_prob.squeeze(0).numpy()[0]
+                btn5_2 = gr.Button("提交")
+                result5_2 = gr.Textbox(label="结果5_2")
+            # 请把video5_3换成Video组件
+            with gr.Column(visible=False) as ans5_3:
+                # score = gr.Textbox(label="得分")
+                video5_3=gr.Video(sources=["webcam", "upload"],interactive=True,)
+                btn5_3 = gr.Button("提交")
+                result5_3 = gr.Textbox(label="结果5_3")
+            title6 = gr.Markdown("# 咨询总结与建议", visible=False)
+            final_score = gr.Textbox(visible=False, interactive=False)
+            adv = gr.Textbox(label="", visible=False)
+
+    btn1.click(visibility, outputs=questions)
+    radio1.change(visibility_choice, radio1, [q1_1, q1_2])
+    radio2.change(visibility3, outputs=[title2, radio4])
+    radio3.change(visibility3, outputs=[title2, radio4])
+    radio4.change(visibility3, outputs=[title3, radio5])
+    radio5.change(visibility_choice3, radio5, [radio6, q3_2, q4])
+    radio6.change(visibility, outputs=q3_2)
+    radio7.change(visibility_choice2, radio7, [ans3_1, ans3_2, ans3_3])
+    btn3_1.click(visibility_choice5, text3_1, [radio8, q4])
+    # 关于btn3_2,btn3_3:请你设计一个函数把语音/视频中文本提取出来，然后经过keyword函数判定来决定要不要出现radio8
+    radio8.change(visibility_choice4, radio8, [radio9, q4])
+    radio9.change(visibility_choice4, radio9, [radio10, q4])
+    radio10.change(visibility, outputs=q4)
+    radio10.change(visibility4, outputs=dead_hug)
+    radio11.change(visibility_choice2, radio11, [ans4_1, ans4_2, ans4_3])
+    btn4_1.click(visibility, outputs=q5)
+    btn4_2.click(visibility, outputs=q5)
+    btn4_3.click(visibility, outputs=q5)
+    radio12.change(visibility_choice2, radio12, [ans5_1, ans5_2, ans5_3])
+    btn5_1.click(
+        advice,
+        [
+            radio1,
+            radio2,
+            radio3,
+            radio4,
+            radio5,
+            radio6,
+            text3_1,
+            radio8,
+            radio9,
+            radio10,
+        ],
+        [title6, final_score, adv],
+    )
+    # btn5_2.click(visibility,outputs=q5)
+    # btn5_3.click(visibility,outputs=q5)

consult_func.py

@@ -0,0 +1,185 @@
+import gradio as gr
+import os
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+def advice1(radio1, radio2, radio3):
+    # 有关睡眠问题的建议
+    if radio1 == 0:
+        if radio2 == "存在":
+            return "嗜睡"
+        else:
+            return radio2
+    if radio1 == 1:
+        return radio3
+
+
+def advice2(radio4):
+    # 有关饮食问题的建议
+    if radio4 == 0:
+        return "不存在"
+    if radio4 == 1:
+        return "增重"
+    else:
+        return "消瘦"
+
+
+def advice3(radio5, radio6):
+    # 有关情绪问题的建议
+    if radio5 == "好":
+        return "不存在情绪问题"
+    if radio5 == "不好":
+        return "抑郁情绪持续了" + radio6
+
+
+def advice4(radio5, text3_1, radio8, radio9, radio10):
+    # 有关自杀倾向的建议
+    if radio5 == "不好":
+        if keyword(text3_1):
+            if radio8 == 0:
+                if radio9 == 0:
+                    if radio10 == "没想过":
+                        return ",有自杀倾向"
+                    if radio10 == "想过，没想过具体时间和地点":
+                        return ",自杀倾向较严重"
+                    if radio10 == "想过具体做法，时间和地点，没实践过":
+                        return ",自杀倾向严重"
+                    if radio10 == "实践过":
+                        return ",有过自杀行为"
+                else:
+                    return ",有自杀倾向"
+        else:
+            return ""
+    else:
+        return ""
+
+
+def advice(
+    radio1, radio2, radio3, radio4, radio5, radio6, text3_1, radio8, radio9, radio10
+):
+    symptoms = ""
+    if advice1(radio1, radio2, radio3) == "不存在" and advice2(radio4) == "不存在":
+        symptoms = "不存在睡眠、饮食问题且"
+    if advice1(radio1, radio2, radio3) != "不存在" and advice2(radio4) == "不存在":
+        symptoms = "存在" + advice1(radio1, radio2, radio3) + "问题，不存在饮食问题且"
+    if advice1(radio1, radio2, radio3) == "不存在" and advice2(radio4) != "不存在":
+        symptoms = "不存在睡眠问题，存在" + advice2(radio4) + "问题且"
+
+    return (
+        gr.Markdown(visible=True),
+        gr.Textbox(visible=True),
+        gr.Textbox(
+            value="你"
+            + symptoms
+            + advice3(radio5, radio6)
+            + advice4(radio5, text3_1, radio8, radio9, radio10)
+            + "。\n  抑郁症症状因人而异，并不应当只以是否存在上述症状来判断，并且可能存在上述症状以外更个人化的症状，如果存在强烈的各种不适或者怀疑自己有抑郁症，建议及时去进行专业检查和干预治疗，也有可能存在抑郁症以外的各类精神障碍与心理疾病，如焦虑症或双相情感障碍等等。\n  抑郁症和其他各类精神上的疾病不是患者的问题或者错误，也不是矫情或者敏感，也不说明患者与其他人有什么不同，他们只是生病了，需要进行治疗而已。此外，一次测试结果不能代表全部，我们希望你能持续地关注自己的心理健康状态，常来这里自测评估一下。最后，不管你有没有抑郁症或者其他疾病，都拍拍你，抱抱你，祝愿你接下来的生活光明灿烂！",
+            visible=True,
+        ),
+    )
+
+
+def final_advice(
+    radio1, radio2, radio3, radio4, radio5, radio6, text3_1, radio8, radio9, radio10
+):
+    return gr.Textbox(
+        visible=True,
+        value=advice(
+            radio1,
+            radio2,
+            radio3,
+            radio4,
+            radio5,
+            radio6,
+            text3_1,
+            radio8,
+            radio9,
+            radio10,
+        ),
+    )
+
+
+def visibility():  # 让下一部分出现
+    return gr.Column(visible=True)
+
+
+def visibility2():  # 让下一道选择题出现
+    return gr.Radio(visible=True)
+
+
+def visibility3():  # 针对有标题切换的情况
+    return (
+        gr.Markdown(visible=True),
+        gr.Radio(visible=True),
+    )
+
+
+def visibility4():
+    return gr.Markdown(visible=True)
+
+
+def visibility_choice(choice):  # 根据选择选项的不同决定下一道题是哪个
+    if choice == 0:
+        return gr.Column(visible=True), gr.Column(visible=False)
+    else:
+        return gr.Column(visible=False), gr.Column(visible=True)
+
+
+def visibility_choice2(choice):  # 选择视频，语音还是文本输入
+    if choice == 0:
+        return (
+            gr.Column(visible=True),
+            gr.Column(visible=False),
+            gr.Column(visible=False),
+        )
+    if choice == 1:
+        return (
+            gr.Column(visible=False),
+            gr.Column(visible=True),
+            gr.Column(visible=False),
+        )
+    else:
+        return (
+            gr.Column(visible=False),
+            gr.Column(visible=False),
+            gr.Column(visible=True),
+        )
+
+
+def visibility_choice3(choice):  # 根据选择选项的不同决定下一道���是哪个
+    if choice == "不好":
+        return (
+            gr.Radio(visible=True),
+            gr.Column(visible=False),
+            gr.Column(visible=False),
+        )
+    else:
+        return (
+            gr.Radio(visible=False),
+            gr.Column(visible=False),
+            gr.Column(visible=True),
+        )
+
+
+def visibility_choice4(choice):  # 根据选择选项的不同决定下一道题是哪个
+    if choice == 0:
+        return gr.Radio(visible=True), gr.Radio(visible=False)
+    else:
+        return gr.Radio(visible=False), gr.Radio(visible=True)
+
+
+def keyword(
+    text,
+):  # 设置关于自杀倾向问题的触发词(你决定要不要加一个文本负向概率大于一定值的判定)
+    keywords = ["轻生", "自杀", "死", "活着", "意义", "意思", "干劲"]
+    for i in range(len(keywords)):
+        if keywords[i].find(text) != -1:
+            return True
+    return False
+
+
+def visibility_choice5(text):  # 关于自杀倾向问题是否触发
+    if keyword(text) is True:
+        return gr.Radio(visible=True), gr.Column(visible=False)
+    else:
+        return gr.Radio(visible=False), gr.Column(visible=True)

details.py

@@ -0,0 +1,26 @@
+import os
+
+import gradio as gr
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+info = open("details_info.html", "r", encoding="utf-8")
+out = ""
+for i in info:
+    out = out + str(i)
+
+with gr.Blocks() as details:
+    with gr.Row():
+        gr.HTML("详尽介绍")
+    with gr.Row():
+        img_inputs = ["system.png", "flow.png"]
+        gr.Gallery(
+            img_inputs,
+            selected_index=0,
+            # label="点击图片查看详情",
+            # show_label=True,
+        )
+
+    with gr.Row():
+        gr.HTML(out)
+        # 看上去还是不太能简单地进行文件输入啊，并且HTML比md方便

get_user_data.py

@@ -0,0 +1,81 @@
+# import datetime
+import os
+
+import gradio as gr
+import numpy as np
+import pandas as pd
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+
+def read_ui(username, password):
+    user_login_df = pd.read_csv(
+        "./user_login/login.csv", encoding="gbk", converters={"password": str}
+    )
+    user_login = user_login_df.set_index("username")["password"].T.to_dict()
+    user_data_df = pd.read_csv("./user_data/data.csv", encoding="gbk")
+
+    results = ""
+    is_usn = username in user_login
+    if is_usn:
+        pswd_crct = password == user_login[username]
+    if is_usn and pswd_crct:
+        report = user_data_df[user_data_df["username"] == username]
+        report = np.array(report).tolist()
+        results = "用户名：" + username + "\n"
+        for i in range(len(report)):
+            line = report[i]
+            results = (
+                results
+                + "第"
+                + str(i + 1)
+                + "次测试  "
+                + "日期："
+                + str(line[1])
+                + " 时间："
+                + str(line[2])
+                + "评分："
+                + str(line[3])
+                + " 评语："
+                + str(line[4])
+                + "\n"
+            )
+    elif is_usn:
+        results = "密码错误，无法读取报告数据。"
+    else:
+        results = "账户不存在，无法读取报告数据。"
+
+    return results
+
+
+def clear_info():
+    return (
+        gr.Textbox(""),
+        gr.Textbox(""),
+        gr.Textbox(""),
+    )
+
+
+with gr.Blocks() as get_user_data:
+    with gr.Row():
+        gr.HTML("<h3 style='text-align:center;'>输入账号密码查看个人历史记录</h3>")
+    with gr.Row():
+        with gr.Column(scale=1):
+            input_name = gr.Textbox(label="用户名")
+            input_pwd = gr.Textbox(label="密码")
+            with gr.Row():
+                clear_button = gr.Button("清除")
+                login_button = gr.Button("登录")
+        with gr.Column(scale=1):
+            output_info = gr.Textbox(label="输出", lines=5)
+
+    clear_button.click(
+        fn=clear_info,
+        inputs=[],
+        outputs=[input_name, input_pwd, output_info],
+    )
+    login_button.click(
+        fn=read_ui,
+        inputs=[input_name, input_pwd],
+        outputs=output_info,
+    )

introduce.html

@@ -0,0 +1,19 @@
+<!DOCTYPE html>
+<html>
+<head>
+ <meta charset="utf-8" />
+ <title></title>
+ <style>
+ p {text-indent:0em;} 
+ </style>
+</head>
+<body>
+ <h1>简要介绍</h1>
+ <p>一个用于抑郁症倾向自测的小系统，有"量表"与"咨询"两种模式，并可创建账号并查看历史记录。
+    我们将严格保护您的隐私。
+ </p>
+ <br><br><br>
+ <h1>功能面板</h1>
+</body>
+</html>
+

introduce.py

@@ -0,0 +1,20 @@
+INTRODUCE = """
+<!DOCTYPE html>
+<html>
+<head>
+ <meta charset="utf-8" />
+ <title></title>
+ <style>
+ p {text-indent:0em;} 
+ </style>
+</head>
+<body>
+ <h1>简要介绍</h1>
+ <p>一个用于抑郁症倾向自测的小系统，有"量表"与"咨询"两种模式，并可创建账号并查看历史记录。
+    我们将严格保护您的隐私。
+ </p>
+ <br><br><br>
+ <h1>功能面板</h1>
+</body>
+</html>
+"""

login_ui.py

@@ -0,0 +1,73 @@
+import datetime
+import os
+import gradio as gr
+import numpy as np
+import pandas as pd
+
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+new_data=[2,'OK']
+
+
+def read_ui(username,password):
+    user_login_df=pd.read_csv('./user_login/login.csv',encoding='gbk',converters = {'password':str})
+    user_login=user_login_df.set_index('username')['password'].T.to_dict()
+    user_data_df=pd.read_csv('./user_data/data.csv',encoding='gbk')
+
+    results=''
+    is_usn=(username in user_login)
+    if(is_usn):
+        pswd_crct=(password==user_login[username])
+    if(is_usn and pswd_crct):
+        report=user_data_df[user_data_df['username'] == username]
+        report=np.array(report).tolist()
+        results='用户名：'+username+'\n'
+        for i in range(len(report)):
+            line=report[i]
+            results=results+'第'+str(i+1)+'次测试  '+'日期：'+str(line[1])+' 时间：'+str(line[2])+'评分：'+str(line[3])+' 评语：'+str(line[4])+'\n'
+    elif(is_usn):
+        results='密码错误，无法读取报告数据。'
+    else:
+        results='账户不存在，无法读取报告数据。'
+
+        
+    return results
+
+def save_ui(username,password):
+    user_login_df=pd.read_csv('./user_login/login.csv',encoding='gbk',converters = {'password':str})
+    user_login=user_login_df.set_index('username')['password'].T.to_dict()
+    user_data_df=pd.read_csv('./user_data/data.csv',encoding='gbk')
+
+    results=''
+    is_usn=(username in user_login)
+    if(is_usn):
+        pswd_crct=(password==user_login[username])
+    if(is_usn and pswd_crct):
+        results='登陆成功，存储报告成功。'
+        user_data_df.loc[len(user_data_df)]=[username,datetime.date.today(),
+                                             datetime.datetime.now().strftime('%H:%M:%S'),
+                                             new_data[0],
+                                             new_data[1]
+                                             ]
+        user_data_df.to_csv('./user_data/data.csv',encoding='gbk',index=False)
+    elif(is_usn):
+        results='密码错误！'
+    else:
+        user_login_df.loc[len(user_login_df)]=[username,password]
+        user_data_df.loc[len(user_data_df)]=[username,datetime.date.today(),
+                                             datetime.datetime.now().strftime('%H:%M:%S'),
+                                             new_data[0],
+                                             new_data[1]
+                                             ]
+        user_login_df.to_csv('./user_login/login.csv',encoding='gbk',index=False)
+        user_data_df.to_csv('./user_data/data.csv',encoding='gbk',index=False)
+        results='账户不存在，已创建新的账户。'
+
+        
+    return results
+
+
+page1=gr.Interface(fn=read_ui,inputs=[gr.Textbox(label="用户名："),gr.Textbox(label="密码：")],outputs="text",title='登录以读取报告')
+page2=gr.Interface(fn=save_ui,inputs=[gr.Textbox(label="用户名："),gr.Textbox(label="密码：")],outputs="text",title='登录以存储当前报告')
+page1.render()
+page2.render()

mainapp.py

@@ -0,0 +1,58 @@
+import os
+
+from test import test_mode
+
+import gradio as gr
+
+# from acknowledge import acknowledge
+# from announce import announce
+# from details import details
+from get_user_data import get_user_data
+from introduce import INTRODUCE
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+
+with gr.Blocks() as demo:
+    with gr.Column():
+        with gr.Row():
+            gr.HTML(
+                "<h1 style='text-align:center;'>📈基于多模态融合的抑郁症检测系统📋</h1>"
+            )
+        with gr.Row():
+            gr.HTML("<h5 style='text-align:center;'>[_SATLab小分队]</h5>")
+        with gr.Row():
+            gr.HTML(INTRODUCE)
+        # with gr.Row():
+        #     gr.HTML("<br>")
+        #     gr.HTML("<br>")
+
+        # with gr.Row():
+        #     gr.Markdown(
+        #         """
+        #         ## 下面的功能面板有五个功能，您可以自由选择。\n
+        #         1️⃣知情同意说明\t   2️⃣用法功能详细介绍\t   3️⃣开始自测\t    4️⃣查看个人历史数据\t    5️⃣引用与致谢\n
+        #         """
+        #     )
+
+        # with gr.Row():
+        #     gr.HTML("<br>")
+        #     gr.HTML("<br>")
+        #     gr.HTML("<br>")
+
+        # with gr.Row():
+        #     gr.Markdown("## 功能面板\n")
+
+    # with gr.Tab("🔈️知情同意说明"):
+    #     announce.render()
+    # with gr.Tab("📜介绍"):
+    #     details.render()
+    with gr.Tab("📋自我测试"):
+        test_mode.render()
+    with gr.Tab("🗃️个人中心"):
+        get_user_data.render()
+    # with gr.Tab("💐引用与致谢"):
+    #     acknowledge.render()
+
+
+demo.launch()

scale.py

@@ -0,0 +1,71 @@
+import os
+
+import gradio as gr
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+s=0
+
+def visibility():
+    return gr.Column(visible=True)
+
+def Score(choice1,choice2,choice3,choice4,choice5,choice6,choice7,choice8,choice9,choice10,choice11,choice12,choice13,choice14,choice15,choice16,choice17,choice18,choice19,choice20):
+    score = 0
+    choices = [choice1,choice2,choice3,choice4,choice5,choice6,choice7,choice8,choice9,choice10,choice11,choice12,choice13,choice14,choice15,choice16,choice17,choice18,choice19,choice20]
+    for i in range(len(choices)):
+        match i:
+            case 1|4|5|10|11|13|15|16|17|19:
+                score += 4 - choices[i]
+            case _:
+                score += choices[i] + 1
+    global s
+    s = round(1.25*score, 0)
+    if s < 53:
+        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。"
+    if 53 <= s <= 62:
+        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。"
+    if 63 <= s <= 72:
+        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。"
+    if s > 72:
+        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"
+
+with gr.Blocks() as scale:
+    with gr.Column():
+        gr.Markdown("本评定量表共有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。")
+        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）")
+        gr.Markdown("B：有时（过去一周内，有1-2天有过这类情况）")
+        gr.Markdown("C：经常（过去一周内，有3-4天有过这类情况）")
+        gr.Markdown("D：总是如此（过去一周内，有5-7天有过类似情况）")
+        btn = gr.Button("继续")
+        with gr.Column(visible=False) as question:
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            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")
+            btn2 = gr.Button("提交")
+        with gr.Column(visible=False) as result:
+            score = gr.Textbox(label="得分")
+            exp = gr.Textbox(label="结果解释")
+            adv = gr.Textbox(label="指导建议")
+            #btn3 = gr.Button("更多")
+        btn.click(visibility,outputs=question)
+        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])
+
+        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])
+

test.py

@@ -0,0 +1,20 @@
+import os
+
+import gradio as gr
+
+from consult import consult
+from scale import scale
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+score1 = 0  # 量表得分,全局可修改
+
+with gr.Blocks() as test_mode:
+    # 量表得分
+
+    with gr.Tab("量表"):
+        scale.render()
+    with gr.Tab("咨询"):
+        consult.render()
+    with gr.Tab("综合评估与建议"):
+        gr.Markdown("结论页面")

user_data/data.csv

@@ -0,0 +1,6 @@
+username,date,time,scores,remark
+lizhiyu,2024/2/21,21:23:15,1,�dz��ã�
+userA,2024/2/21,21:23:15,2,һ���
+test0,2024/2/22,13:22:21,2,OK
+liusu,2024-02-22,15:32:05,2,OK
+liusu,2024-02-22,15:34:48,50,����Ŭ��

user_login/login.csv

@@ -0,0 +1,5 @@
+username,password
+lizhiyu,123456
+test,0
+test0,3784848
+liusu,123456