Assume that we have extracted Glove embedded words using model = KeyedVectors.load_word2vec_format(tmp_file) so we can get the embedded vector of a world using: model[word] Assume also we have a list...

Extracted text: Assume that we have extracted Glove embedded words using model = KeyedVectors.load_word2vec_format(tmp_file) so we can get the embedded vector of a world using: model[word] Assume also we have a list contains 1000 words (stored in the list xyzwords) Write a python code to print the closest two words in the list xyzwords