A script that categorizes words by a "shrink" ranking

main.py

from collections import defaultdict
import random

def get_shrink_rank(word):
    if " " in word:
        print(word)
        raise Exception("Word must be a single word")

    if not word.isalpha():
        print(word)
        raise Exception("Word must only contain letters")

    return len(word) - len(set(word))

with open("/Users/josephlyons/Downloads/english-words-master/words_alpha.txt", "r") as file:
    words = [word.strip().lower() for word in file]

print(f"{len(words)} words ranked")
print()

shrink_rank_to_words_with_shrink_rank_dictionary = defaultdict(list)

for word in words:
    shrink_rank_to_words_with_shrink_rank_dictionary[get_shrink_rank(word)].append(word)

sorted_shrink_ranks = sorted(shrink_rank_to_words_with_shrink_rank_dictionary.keys())

for shrink_rank in sorted_shrink_ranks:
    words_with_shrink_rank = shrink_rank_to_words_with_shrink_rank_dictionary[shrink_rank]
    average_length_of_word_with_rank = sum(len(word) for word in words_with_shrink_rank) / len(words_with_shrink_rank)
    average_length_of_word_with_rank_rounded = round(average_length_of_word_with_rank, 2)
    random_word_with_shrink_rank = random.choice(words_with_shrink_rank)

    shrink_rank_string = f"Shrink Rank: {shrink_rank}"
    words_count_string = f"Words: {len(words_with_shrink_rank)}"
    average_word_length_string = f"Average Word Length: {average_length_of_word_with_rank_rounded}"
    example_string = f"Example: \"{random_word_with_shrink_rank}\""

    output_strings = [shrink_rank_string, words_count_string, average_word_length_string, example_string]
    output_string = " | ".join(output_strings)
    print(output_string)