class_docstr: Arguments:
      threshold (float): Threshold for classifier confidence score
class_docstr_tok: ["Arguments",":","threshold","(","float",")",":","Threshold","for","classifier","confidence","score"]
code: def _download_weights(self, weights_url, weights_path):
      import torch
  
      if not os.path.exists(weights_path):
          torch.hub.download_url_to_file(
              weights_url,
              weights_path,
              hash_prefix=None,
              progress=True,
          )
  
file_path: evadb/evadb/functions/emotion_detector.py
imports: import os
  from typing import List
  import numpy
  import pandas
  from evadb.functions.abstract.pytorch_abstract_function import PytorchAbstractClassifierFunction
  from evadb.utils.generic_utils import try_to_import_pillow, try_to_import_torch, try_to_import_torchvision
label_desc: Use image node_id 2 for calling the EmotionDetector obj's underlying member method code with example usage: obj._download_weights(weights_url, weights_path) without return types