class_docstr: A local custom application for GUnicorns.
  
  This custom application enables us to run with a custom main that parses
  tensorflow ops and does some internal setup prior to processing queries.  The
  underlying app registered instances of this class will be forked.
class_docstr_tok: ["A","local","custom","application","for","GUnicorns",".","This","custom","application","enables","us","to","run","with","a","custom","main","that","parses","tensorflow","ops","and","does","some","internal","setup","prior","to","processing","queries",".","The","underlying","app","registered","instances","of","this","class","will","be","forked","."]
docstr: Loads the configuration.
docstr_tok: ["Loads","the","configuration","."]
code: def load_config(self):
      """Loads the configuration."""
      config = dict(
          [
              (key, value)
              for key, value in iteritems(self.options)
              if key in self.cfg.settings and value is not None
          ]
      )
      for key, value in iteritems(config):
          self.cfg.set(key.lower(), value)
  
file_path: tensor2tensor/tensor2tensor/insights/server.py
imports: import json
  from flask import Flask
  from flask import jsonify
  from flask import request
  from flask import send_from_directory
  from flask.json import JSONEncoder
  from gunicorn.app.base import BaseApplication
  from gunicorn.six import iteritems
  import numpy
  from tensor2tensor.insights import transformer_model
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the DebugFrontendApplication obj's underlying member method code with example usage: obj.load_config() without return types