Import Counter from collections. Use word_tokenize() to split the article into tokens. Use a list comprehension with t a

Here's the completed code: ``` # Import Counter from collections import Counter from nltk.tokenize import word_tokenize # Tokenize the article: tokens tokens = word_tokenize(article) # Convert the tokens into lowercase: lower_tokens lower_tokens = [t.lower() for t in tokens] # Create a Counter with the lowercase tokens: bow_simple bow_simple = Counter(lower_tokens) # Print the 10 most common tokens print(bow_simple.most_common(10)) ``` The code imports `Counter` from `collections` and `word_tokenize` from `nltk.tokenize`. It then tokenizes the article using `word_tokenize()` and converts all the tokens to lowercase using a list comprehension. It creates a bag-of-words counter called `bow_simple` by passing `lower