import numpy as np
import soundfile as sf
import torchaudio
from speechbrain.pretrained.interfaces import foreign_class
from app_utils import video_score,speech_score,text_score
# import scipy.io.wavfile as wav
# from paraformer import AudioReader, CttPunctuator, FSMNVad, ParaformerOffline
# from gradio_client import Client
import gradio as gr
import os
from consult_func import (
advice,
visibility,
visibility3,
visibility4,
visibility_choice,
visibility_choice2,
visibility_choice3,
visibility_choice4,
visibility_choice5,
keyword,
save2,
)
os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
# client = Client("Liusuthu/TextDepression")
# classifier = foreign_class(
# source="pretrained_models/local-speechbrain/emotion-recognition-wav2vec2-IEMOCAP", # ".\\emotion-recognition-wav2vec2-IEMOCAP"
# pymodule_file="custom_interface.py",
# classname="CustomEncoderWav2vec2Classifier",
# savedir="pretrained_models/local-speechbrain/emotion-recognition-wav2vec2-IEMOCAP",
# )
# ASR_model = ParaformerOffline()
# vad = FSMNVad()
# punc = CttPunctuator()
#########################################################################################
#第四题专用函数：(经过调整，第五题也可以用)
def text_score4(text):
text,score=text_score(text)
return text,score,gr.Column(visible=True),text,score
def speech_score4(audio):
text,score=speech_score(audio)
return text,score,gr.Column(visible=True),text,score
def video_score4(video):
text,score=video_score(video)
return text,score,gr.Column(visible=True),text,score
#########################################################################################
#第三题专用函数：（融入keyword识别）
def text_score3(text):
text,score=text_score(text)
if keyword(text):
return text,score,gr.Radio(visible=True), gr.Column(visible=False),text,score
else:
return text,score,gr.Radio(visible=False), gr.Column(visible=True),text,score
def speech_score3(audio):
text,score=speech_score(audio)
if keyword(text):
return text,score,gr.Radio(visible=True), gr.Column(visible=False),text,score
else:
return text,score,gr.Radio(visible=False), gr.Column(visible=True),text,score
def video_score3(video):
text,score=video_score(video)
if keyword(text):
return text,score,gr.Radio(visible=True), gr.Column(visible=False),text,score
else:
return text,score,gr.Radio(visible=False), gr.Column(visible=True),text,score
#########################################################################################
def clear_info():
return (
gr.Textbox(""),
gr.Textbox(""),
gr.Textbox(""),
)
# constants
schema = "情感倾向[正向，负向]" # Define the schema for sentence-level sentiment classification
with gr.Blocks() as consult:
result1=gr.Number(label="第一道问答题分数",interactive=True,visible=False)
text1=gr.Textbox(label="第一道问答题回答内容",interactive=True,visible=False)
result2=gr.Number(label="第二道问答题分数",interactive=True,visible=False)
text2=gr.Textbox(label="第二道问答题回答内容",interactive=True,visible=False)
result3=gr.Number(label="第三道问答题分数",interactive=True,visible=False)
text3=gr.Textbox(label="第三道问答题回答内容",interactive=True,visible=False)
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")
result3_11 = gr.Textbox(label="转录结果3_1",visible=False)
result3_12 = gr.Textbox(label="分数结果3_1",visible=False)
# 请把audio3_2换成Audio组件
with gr.Column(visible=False) as ans3_2: # 语音回答
audio3_2 = gr.Audio(
label="语音录制(录制结束后，请等待语音条闪烁并出现波形后再提交)", interactive=True, sources=["microphone"]
) # 对应out_prob.squeeze(0).numpy()[0]
btn3_2 = gr.Button("抱抱你")
result3_21 = gr.Textbox(label="转录结果3_2")
result3_22 = gr.Textbox(label="分数结果3_2",visible=False)
# 请把video3_3换成Video组件
with gr.Column(visible=False) as ans3_3: # 视频回答
video3_3 = gr.Video(
sources=["webcam", "upload"],
interactive=True,
format='mp4',
width=500,
label="视频录制(录制结束后，请等待画面闪烁并再次出现后再提交)",
)
btn3_3 = gr.Button("继续")
result3_31 = gr.Textbox(label="转录结果3_3")
result3_32 = gr.Textbox(label="分数结果3_3",visible=False)
# 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_11 = gr.Textbox(label="结果4_1",visible=False)
result4_12 = gr.Textbox(label="分数结果4_1",visible=False)
# 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(录制结束后，请等待语音条闪烁并出现波形后再提交)", interactive=True, sources=["microphone"]
) # 对应out_prob.squeeze(0).numpy()[0]
btn4_2 = gr.Button("继续")
result4_21 = gr.Textbox(label="转录结果4_2")
result4_22 = gr.Textbox(label="分数结果4_2",visible=False)
# 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,
format='mp4',
width=500,
label="视频录制(录制结束后，请等待画面闪烁并再次出现后再提交)",
)
btn4_3 = gr.Button("继续")
result4_31 = gr.Textbox(label="转录结果4_3")
result4_32 = gr.Textbox(label="分数结果4_3",visible=False)
# 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_11 = gr.Textbox(label="转录结果5_1",visible=False)
result5_12 = gr.Textbox(label="分数结果5_1",visible=False)
# 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(录制结束后，请等待语音条闪烁并出现波形后再提交)", interactive=True, sources=["microphone"],
) # 对应out_prob.squeeze(0).numpy()[0]
btn5_2 = gr.Button("提交")
result5_21 = gr.Textbox(label="转录结果5_2")
result5_22 = gr.Textbox(label="分数结果5_2",visible=False)
# 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,format='mp4',width=500,label="视频录制(录制结束后，请等待画面闪烁并再次出现后再提交)")
btn5_3 = gr.Button("提交")
result5_31 = gr.Textbox(label="转录结果5_3")
result5_32 = gr.Textbox(label="分数结果5_3",visible=False)
with gr.Column(visible=False) as summary:
gr.Markdown("#### 你完成了所有的测验，点击下方按钮生成报告吧~")
summary_button=gr.Button("生成结论")
with gr.Column(visible=False) as final_result:
title6 = gr.Markdown("# 咨询总结与建议")
final_score = gr.Number(interactive=False,label="最终得分")
adv = gr.HTML(visible=False)
save_button=gr.Button("保存本次测试数据",visible=False)
with gr.Column(visible=False) as save:
with gr.Row():
gr.HTML("输入账号密码保存本次检测数据
若首次使用，输入账号密码后自动创建账户
")
with gr.Row():
with gr.Column(scale=1):
input_name = gr.Textbox(label="用户名",interactive=True)
input_pwd = gr.Textbox(label="密码",interactive=True)
with gr.Row():
clear_button = gr.Button("清除")
submit_button = gr.Button("提交保存")
with gr.Column(scale=1):
output_info = gr.Textbox(label="输出", lines=5,interactive=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(text_score3, text3_1, [result3_11,result3_12,radio8, q4,text1,result1])
btn3_2.click(speech_score3,audio3_2, [result3_21,result3_22,radio8, q4,text1,result1])
btn3_3.click(speech_score3,video3_3, [result3_31,result3_32,radio8, q4,text1,result1])
# 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(text_score4,inputs=text4_1, outputs=[result4_11,result4_12,q5,text2,result2])
btn4_2.click(speech_score4, inputs=audio4_2, outputs=[result4_21,result4_22,q5,text2,result2])
btn4_3.click(video_score4, inputs=video4_3, outputs=[result4_31,result4_32,q5,text2,result2])
radio12.change(visibility_choice2, radio12, [ans5_1, ans5_2, ans5_3])
btn5_1.click(text_score4,inputs=text5_1, outputs=[result5_11,result5_12,summary,text3,result3])
btn5_2.click(speech_score4, inputs=audio5_2, outputs=[result5_21,result5_22,summary,text3,result3])
btn5_3.click(video_score4, inputs=video5_3, outputs=[result5_31,result5_32,summary,text3,result3])
summary_button.click(
advice,
[
radio1,
radio2,
radio3,
radio4,
radio5,
radio6,
text1,
radio8,
radio9,
radio10,
result1,
result2,
result3,
],
[final_result,title6, final_score, adv,save_button],
)
save_button.click(visibility,inputs=[],outputs=[save])
clear_button.click(clear_info,inputs=[],outputs=[input_name, input_pwd, output_info])
submit_button.click(save2,inputs=[input_name,input_pwd,radio1,radio2,radio3,radio4,radio5,radio6,result1,text1,radio8,radio9,radio10,result2,text2,result3,text3,adv],outputs=[output_info])