new_contents: from sense2vec.vectors import VectorMap
  from gensim.models import Word2Vec
  import plac
  
  @plac.annotations(
      gensim_model_path=("Location of gensim's .bin file"),
      out_dir=("Location of output directory"),
      min_count=("Min count", "option", "m", int),
  )
  def main(gensim_model_path, out_dir, min_count=None):
      """Convert a gensim.models.Word2Vec file to VectorMap format"""
      
      gensim_model = Word2Vec.load(gensim_model_path)
      vector_map = VectorMap(128)
  
      if min_count is None:
          min_count = gensim_model.min_count
          
      for string in gensim_model.vocab:
          vocab = gensim_model.vocab[string]
          freq, idx = vocab.count, vocab.index
          if freq < min_count:
              continue
          vector = gensim_model.syn0[idx]
          vector_map.borrow(string, freq, vector)
      
      vector_map.save(out_dir)
  
  if __name__ == '__main__':
      plac.call(main)
subject: Add gensim to sense2vec format converter script