text: """
  Configuration for the generate module
  """
  
  #-----------------------------------------------------------------------------#
  # Flags for running on CPU
  #-----------------------------------------------------------------------------#
  FLAG_CPU_MODE = False
  
  #-----------------------------------------------------------------------------#
  # Paths to models and biases
  #-----------------------------------------------------------------------------#
  paths = dict()
  
  # Skip-thoughts
  paths['skmodels'] = 'ml/data/models/'
  paths['sktables'] = 'ml/data/models/'
  
  # Decoder
  #paths['decmodel'] = 'ml/data/storyteller/toy.npz'
  paths['decmodel'] = 'ml/data/storyteller/romance.npz'
  
  #paths['dictionary'] = 'ml/data/models/dict_french.pkl'
  paths['dictionary'] = 'ml/data/storyteller/romance_dictionary.pkl'
  
  
  # Image-sentence embedding
  paths['vsemodel'] = 'ml/data/storyteller/coco_embedding.npz'
  
  # VGG-19 convnet
  paths['vgg'] = 'ml/data/vgg19.pkl'
  #paths['pycaffe'] = '/u/yukun/Projects/caffe-run/python'
  paths['vgg_proto_caffe'] = 'ml/data/VGG_ILSVRC_19_layers_deploy.prototxt'
  paths['vgg_model_caffe'] = 'ml/data/VGG_ILSVRC_19_layers.caffemodel'
  
  
  # COCO training captions
  paths['captions'] = 'ml/data/storyteller/coco_train_caps.txt'
  
  # Biases
  paths['negbias'] = 'ml/data/storyteller/caption_style.npy'
  #paths['posbias'] = 'ml/data/storyteller/vernes_style.npy'
  #paths['posbias'] = 'ml/data/storyteller/swift_style.npy'
  #paths['posbias'] = 'ml/data/storyteller/style.npy'
  paths['posbias'] = 'ml/data/storyteller/vernes_english_style.npy'
  #paths['posbias'] = 'ml/data/storyteller/romance_style.npy'
  
  #words occurences
  paths["occurences"] = "ml/data/occurences.txt"
  