build_model.py

#importing the glove library
from glove import Corpus, Glove
# creating a corpus object
corpus = Corpus() 
#training the corpus to generate the co occurence matrix which is used in GloVe
corpus.fit(new_lines, window=10)
#creating a Glove object which will use the matrix created in the above lines to create embeddings
#We can set the learning rate as it uses Gradient Descent and number of components
glove = Glove(no_components=5, learning_rate=0.05)
 
glove.fit(corpus.matrix, epochs=30, no_threads=4, verbose=True)
glove.add_dictionary(corpus.dictionary)
glove.save('glove.model')