new_contents: #!/usr/bin/env python
  # coding: utf-8
  
  import os
  
  path = os.path.dirname(os.path.abspath(__file__))
  data_dir = os.path.join(path, "data")
  model_dir = os.path.join(path, "model")
  
  CRAWL_EMBEDDING_PATH = os.path.join(data_dir, 'crawl-300d-2M.pkl') # i expect the embeddings to be in data folder
  GLOVE_EMBEDDING_PATH = os.path.join(data_dir, 'glove.840B.300d.pkl') # i expect the embeddings to be in data folder
  word_embeddings_url1 = # Refer_Kaggle_Datasets https://www.kaggle.com/authman/pickled-crawl300d2m-for-kernel-competitions
  word_embeddings_url2 = # Refer_Kaggle_Datasets https://www.kaggle.com/authman/pickled-glove840b300d-for-10sec-loading
  
  # arch 1 LSTM Based
  LSTM_UNITS = 256
  DENSE_HIDDEN_UNITS = 4 * LSTM_UNITS
  MAX_LEN = 300
  
  # arch 2 CNN Based
  N_FILTERS = 256
  FILTER_SIZES = [2,3,4,5,6]
  
subject: Create __init__.py