class_docstr: Handles loading and inference using specific models
code: def __init__(self, service_name):
      self.service_type = None
      self.is_spacy = False
      self.service = self.load_service(service_name)
  
file_path: nlp-architect/server/service.py
imports: import json
  import logging
  import os.path
  from importlib import import_module
  from nlp_architect.utils.io import gzip_str
label_desc: Use image node_id 1 to create a new Service object from inherited base classes: object with example: obj = Service(service_name)