code: def __init__(self, content_dir):
      self.loaded_categories = None
      self.skip_categories = []
      self.content_dir = content_dir
      self.running_on_cpu = devices.device_interrogate == torch.device(
          "cpu"
      )
  
imports: import os
  import sys
  from collections import namedtuple
  from pathlib import Path
  import re
  import torch
  import torch.hub
  from torchvision import transforms
  from torchvision.transforms.functional import InterpolationMode
  from modules import devices, paths, shared, lowvram, modelloader, errors
label_desc: Use image node_id 1 to create a new InterrogateModels object  with example: obj = InterrogateModels(content_dir)