Import the sent_tokenize and word_tokenize functions from nltk.tokenize. Tokenize all the sentences in scene_one using t

Here's the completed code: ``` # Import necessary modules from nltk.tokenize import sent_tokenize, word_tokenize # Split scene_one into sentences: sentences sentences = sent_tokenize(scene_one) # Use word_tokenize to tokenize the fourth sentence: tokenized_sent tokenized_sent = word_tokenize(sentences[3]) # Make a set of unique tokens in the entire scene: unique_tokens unique_tokens = set(word_tokenize(scene_one)) # Print the unique tokens result print(unique_tokens) ``` The code imports the `sent_tokenize` and `word_tokenize` functions from the `nltk.tokenize` module. It then uses `sent_tokenize` to split a string into sentences, and `word_tokenize` to tokenize a specific sentence. Finally, it uses