code: def sentiment_classification_demo():
      def classifier(text):
          time.sleep(1)
          return {
              label: random.random()
              for label in ["POSITIVE", "NEGATIVE", "NEUTRAL"]
          }
  
      def sleep_for_test():
          time.sleep(10)
          return 2
  
      with gr.Blocks(theme="gstaff/xkcd") as demo:
          with gr.Row():
              with gr.Column():
                  input_text = gr.Textbox(label="Input Text")
                  with gr.Row():
                      classify = gr.Button("Classify Sentiment")
              with gr.Column():
                  label = gr.Label(label="Predicted Sentiment")
              number = gr.Number()
              btn = gr.Button("Sleep then print")
          classify.click(
              classifier, input_text, label, api_name="classify"
          )
          btn.click(sleep_for_test, None, number, api_name="sleep")
  
      return demo
  
imports: import inspect
  import random
  import time
  import gradio
  import pytest
  from pydub import AudioSegment
label_desc: Use image node_id 8 for calling a global function with example usage: sentiment_classification_demo() and returns: demo, unknown, int