Update consult.py

consult.py

@@ -1,3 +1,23 @@
+import numpy as np
+import soundfile as sf
+import torchaudio
+from speechbrain.pretrained.interfaces import foreign_class
+
+from app_utils import video_score,video_test
+from authors import AUTHORS
+
+# Importing necessary components for the Gradio app
+from description import DESCRIPTION_DYNAMIC  # , DESCRIPTION_STATIC
+
+# 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 (
@@ -13,6 +33,8 @@ from consult_func import (
 )
 
 os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+client = Client("Liusuthu/TextDepression")
+
 
 # constants
 schema = "情感倾向[正向，负向]"  # Define the schema for sentence-level sentiment classification
@@ -28,7 +50,7 @@ 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：
+score3 = 0  # 第三道问答题：最近状态
 
 # video model
 
@@ -169,19 +191,25 @@ with gr.Blocks() as consult:
             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")
+                result4_11 = gr.Textbox(label="语音结果4_1")
+                result4_12 = gr.Textbox(label="分数结果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")
+                result4_21 = gr.Textbox(label="结果4_2")
+                result4_22 = gr.Textbox(label="分数结果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,)
+                video4_3 = gr.Video(
+                    sources=["webcam", "upload"],
+                    interactive=True,
+                )
                 btn4_3 = gr.Button("继续")
-                result4_3 = gr.Textbox(label="结果4_3")
+                result4_31 = gr.Textbox(label="结果4_3")
+                result4_32 = gr.Textbox(label="分数结果4_3")
 
         # 针对无价值感、无意义感、无力感