code: def stoi_example() -> tuple:
      """Plot STOI example."""
      from torchmetrics.audio.stoi import (
          ShortTimeObjectiveIntelligibility,
      )
  
      p = lambda: torch.randn(8000)
      t = lambda: torch.randn(8000)
  
      # plot single value
      metric = ShortTimeObjectiveIntelligibility(8000, False)
      metric.update(p(), t())
      fig, ax = metric.plot()
  
      # plot multiple values
      metric = ShortTimeObjectiveIntelligibility(8000, False)
      vals = [metric(p(), t()) for _ in range(10)]
      fig, ax = metric.plot(vals)
  
      return fig, ax
  
imports: import argparse
  import matplotlib.pyplot
  import torch
label_desc: Use image node_id 7 for calling a global function with example usage: stoi_example() and returns: fig,  ax