Loading glove vectors

glove_load_vectors.py

#load glove vectors
#download them from http://nlp.stanford.edu/data/glove.6B.zip
embeddings_index = {}
GLOVE_DIR = 'glove.6B'
import os
f = open(os.path.join(GLOVE_DIR, 'glove.6B.%id.txt' %EMBEDDING_DIM))
for line in f:
    values = line.split()
    word = values[0]
    coefs = np.asarray(values[1:], dtype='float32')
    embeddings_index[word] = coefs
f.close()