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

") 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])