code: def generate_samples(
      self, n=3, temperatures=[0.2, 0.5, 1.0], **kwargs
  ):
      for temperature in temperatures:
          print(
              "#" * 20
              + "\nTemperature: {}\n".format(temperature)
              + "#" * 20
          )
          self.generate(
              n, temperature=temperature, progress=False, **kwargs
          )
  
imports: import json
  import re
  import numpy
  import tensorflow
  import tqdm
  from pkg_resources import resource_filename
  from sklearn.decomposition import PCA
  from sklearn.manifold import TSNE
  from sklearn.metrics.pairwise import cosine_similarity
  from sklearn.preprocessing import LabelBinarizer
  from tensorflow import config
  from tensorflow.compat.v1.keras.backend import set_session
  from tensorflow.keras.callbacks import LearningRateScheduler
  from tensorflow.keras.models import Model
  from tensorflow.keras.optimizers import Adam
  from tensorflow.keras.preprocessing.text import Tokenizer, text_to_word_sequence
  from .model import textgenrnn_model
  from .model_training import generate_sequences_from_texts
  from .utils import generate_after_epoch, save_model_weights, textgenrnn_encode_sequence, textgenrnn_generate, textgenrnn_texts_from_file, textgenrnn_texts_from_file_context
label_desc: Use image node_id 3 for calling the textgenrnn obj's underlying member method code with example usage: obj.generate_samples(n, temperatures) without return types