Update app.py

app.py

@@ -15,6 +15,9 @@ 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
+client = Client("Liusuthu/TextDepression")
+
 os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
 ###########################语音部分######################################
 classifier = foreign_class(
@@ -27,6 +30,13 @@ ASR_model = ParaformerOffline()
 vad = FSMNVad()
 punc = CttPunctuator()
 
+def text_api(text:str):
+    result = client.predict(
+        sentence,  # str  in '输入文字' Textbox component
+        api_name="/predict",
+    )
+    return result
+
 
 def classify_continuous(audio):
     print(type(audio))
@@ -96,6 +106,8 @@ with gr.Blocks(css="app.css") as video:
                 out1=gr.Textbox(label="语音分析结果")
                 out2=gr.Textbox(label="音频情感识别1")
                 out3=gr.Textbox(label="音频情感识别2")
+                text_test_button=gr.Button("分析文本")
+                text_result=gr.Textbox(interactive=False)
         gr.Examples(
             [
                 "videos/video1.mp4",
@@ -133,7 +145,11 @@ with gr.Blocks(css="app.css") as video:
         inputs=output_audio,
         outputs=[out1,out2,out3]
     )
-
+    text_test_button.click(
+        fn=text_api,
+        inputs=out1,
+        outputs=text_result,
+    )
 ####################################
 speech = gr.Interface(
     classify_continuous,