code: def keras_to_hls(config):
      model_arch, reader = get_model_arch(config)
      layer_list, input_layers, output_layers, _ = parse_keras_model(
          model_arch, reader
      )
      print("Creating HLS model")
      hls_model = ModelGraph(
          config, layer_list, input_layers, output_layers
      )
      return hls_model
  
imports: import json
  import h5py
  from hls4ml.model import ModelGraph
label_desc: Use image node_id 8 for calling a global function with example usage: keras_to_hls(config) and returns: hls_model