Convert pre-trained cui2vec to Glove and word2vec

cui2vec2word2vec.py

import os

from gensim.models import KeyedVectors
from gensim.scripts.glove2word2vec import glove2word2vec
if os.path.exists('cui2vec_w.txt'):
    wv_from_text = KeyedVectors.load_word2vec_format('cui2vec_w.txt', unicode_errors='ignore')
    print(wv_from_text.most_similar("C0000052", topn=2))
    wv_from_text.save_word2vec_format('cui2vec_w.bin', binary=True)
else:
    with open("cui2vec_pretrained.csv",'r') as f:
        with open("cui2vec_g.txt",'w') as f1:
            next(f) # skip header line
            count = 0
            for line in f:
                line = '"'.join(line.split()).replace('"', '')
                line = ",".join(line.split()).replace(',', ' ')
                line = line + ' \n'
                f1.write(line)
                count += 1
    glove2word2vec('cui2vec_g.txt', 'cui2vec_w.txt')
    print(count)