Initialize a new TfidfModel called tfidf using corpus. Use doc to calculate the weights. You can do this by passing [doc

Here's the completed code: ``` # Import TfidfModel from gensim.models import TfidfModel # Create a new TfidfModel using the corpus: tfidf tfidf = TfidfModel(corpus) # Calculate the tfidf weights of doc: tfidf_weights tfidf_weights = tfidf[doc] # Print the first five weights print(tfidf_weights[:5]) ``` The code imports `TfidfModel` from `gensim.models` and creates a new instance called `tfidf` using `corpus`. It then calculates the tf-idf weights of `doc` by passing `[doc]` to `tfidf` and assigns it to `