CSC506_Increasing_Efficiency_of_Unordered_and_Ordered_Lists

# This script  takes a sentence input by the user, converts it to a list of individual words, iterates over each word in the list to get its synonyms from the NLTK’s wordnet module, 
# and then adds each word’s synonyms to a list named after the word. Next, it prints the synonyms lists. 
# Because no lists are created for words that have no available synonyms, I also included a try: except: else: loop that prints a message instead of the error encountered when the program finds no list to print.

# Import the Natural Language ToolKit
from typing import Set, Any
import nltk
# nltk.download('wordnet')
from nltk.corpus import wordnet

class SynWords:
    def __init__(self):
        pass
    def generate_thesaurus(self):
        i = 0
        for i in range(len(word_list)):
            word = word_list[i]
            print(word)
            for syn in wordnet.synsets(str(word)):
                locals()[word] = []
                for lemm in syn.lemmas():
                    locals()[word].append(lemm.name())
                i += 1
            try:
                locals()[word] = set(locals()[word])  # Convert the list of synonyms to a set, removing any duplicates
                print(locals()[word])
            except:
                print('The word "', end ='')
                print(word, end='')
                print('" has no available synonyms.')
            else:
                continue
source_phrase = input('Please enter a source phrase: ')
word_list = source_phrase.split()  # Creates a list of words from the user's input
SynWords.generate_thesaurus(word_list)