text: import prepare_data
  import generate_desc
  from pickle import load
  from keras.models import load_model
  
  tokenizer = load(open('tokenizer.pkl', 'rb'))
  # pre-define the max sequence length (from training)
  max_length = 33
  # load the model
  model = load_model('model_0.h5')
  # load and prepare the photograph
  photo = prepare_data.extract_features_filename('../dataset/FlickerDenoisedImages/Flicker_dn_drunet_color/10815824_2997e03d76.jpg')
  # generate description
  description = generate_desc.generate_desc(model, tokenizer, photo, max_length)
  print(description)