Reading embedding file

import numpy as np

words = []
vectors = []

with open('wiki-words.emb', 'r') as f:
    print(f)
    for line in f:
        print(line)
        fields = line.split()
        word = fields[0].decode('utf-8')
        vector = np.fromiter((float(x) for x in fields[1:]),
                             dtype=np.float)
        words.append(word)
        vectors.append(vector)

# Matrix of embeddings
matrix = np.array(vectors)
# Vocabulary file
text = '\n'.join(words)
vocab = text.encode('utf-8')