import gradio as gr from difflib import SequenceMatcher import string def load_dictionary(path=r'Dictionary.txt'): with open(path, 'r') as file: words = [line.strip() for line in file if line.strip()]# Strips whitespace and ignores empty lines return words def preprocess_input(input_text): input_text = input_text.lower() abbreviations_dict = { "can't": "cannot", "won't": "will not", "'re": " are", "'s": " is", "'d": " would", "'ll": " will", "'ve": " have", "'m": " am", "I'm": "I am", "i'm": "i am", "it's": "it is", "he's": "he is", "she's": "she is", "we're": "we are", "they're": "they are", "there's": "there is", "who's": "who is", "that's": "that is", "what's": "what is", "let's": "let us", "i've": "I have", "we've": "we have", "they've": "they have", "should've": "should have", "could've": "could have", "would've": "would have", "you've": "you have", "he'd": "he would", "she'd": "she would", "we'd": "we would", "they'd": "they would", "i'd": "I would" } # Dictionary to replace abbreviations with its expanded form words = input_text.split() for i , word in enumerate(words): if word in abbreviations_dict.keys(): words[i] = abbreviations_dict[word] input_text = ' '.join(words) # remove the punctuation input_text = ''.join([char for char in input_text if char not in string.punctuation]) # string.punctuation --> holds all the punctuation return input_text.split() def is_in_dict(dict,word): first , last = 0 , len(dict) - 1 while first <= last : mid = (first+last) // 2 if dict[mid] == word : return True # word found else : if word > dict[mid] : first = mid + 1 else : last = mid - 1 return False # word is not found in the dictionary --> misspelled def get_misspelled_words(input_text, dict): misspelled_words = [word for word in input_text if not is_in_dict(dict, word)] return misspelled_words def higlight_misspelled(input_text,misspelled_words): # yasterday, i'm played fotball for i , word in enumerate(input_text): if word in misspelled_words: input_text[i] = f"\033[4;31m{word}\033[0m" # Red text using ANSI escape codes highlighted_text = ' '.join(input_text) return highlighted_text # returns the text after being highlighted def selection_sort(suggested_words_list): n = len(suggested_words_list) for i in range(n) : max_value = suggested_words_list[i][1] #[i] --> the first element in the list ,[1] the second element in the tuple (Ratio) max_position = i for j in range (i+1 , n) : if suggested_words_list[j][1] > max_value : max_value = suggested_words_list[j][1] max_position = j suggested_words_list[i],suggested_words_list[max_position] = suggested_words_list[max_position],suggested_words_list[i] # swaping def get_suggestions(misspelled_words, dict): suggestions = {} similarity = SequenceMatcher() for word in misspelled_words: matches = [] similarity.set_seq2(word) for item in dict : similarity.set_seq1(item) if similarity.ratio() >= 0.70: matches.append((item, similarity.ratio())) selection_sort(matches) suggestions[word] = [item for item, _ in matches[:2]] return suggestions # the function that prints the misspelled words and their suggestions def print_suggestions (suggestions , misspelled_words): if not misspelled_words : # if the list is empty print('No misspelled words detected') else: print ("\n\033[1;32mMisspelling and Suggestions\033[0m") # prints the header in green color for word in misspelled_words : if not suggestions[word] :# the word has no suggestions print(f"\033[38;5;231m{word}:\033[0m \033[38;5;45mNo suggestions available.\033[0m") else : suggested = ", ".join(suggestions[word]) # Joins the 2 suggestions into a string separated by a comma print(f"\033[38;5;231m{word}:\033[0m \033[38;5;45m{suggested}.\033[0m") def print_suggested_input(suggestions, original_input_text, misspelled_words): preprocessed_words = preprocess_input(original_input_text) # Preprocessed words for comparison for i, word in enumerate(preprocessed_words): if word in misspelled_words: preprocessed_words[i] = suggestions[word][0] # Replace in the original text with the first value suggested_input = ' '.join(preprocessed_words) return suggested_input # def spell_check(original_input_text): # dict = load_dictionary() # preprocessed_text = preprocess_input(original_input_text) # misspelled_words = get_misspelled_words(preprocessed_text, dict) # suggestions = get_suggestions(misspelled_words, dict) # Suggested_input = print_suggested_input(suggestions, original_input_text, misspelled_words) # print('Your input is: ', higlight_misspelled(preprocessed_text, misspelled_words)) # print_suggestions(suggestions, misspelled_words) # if misspelled_words: # because if the input is right, then dont print Did You Mean # print('\nSuggested Text:', f'"{Suggested_input}"') def spell_check(original_input_text): dict = load_dictionary() preprocessed_text = preprocess_input(original_input_text) misspelled_words = get_misspelled_words(preprocessed_text, dict) suggestions = get_suggestions(misspelled_words, dict) Suggested_input = print_suggested_input(suggestions, original_input_text, misspelled_words) if misspelled_words: # because if the input is right, then dont print Did You Mean return 'Corrected Text: ' + f' "{Suggested_input}"' else : return 'No misspelled words detected' interface = gr.Interface(fn= spell_check, inputs= "text", outputs='text', title= "Spell Checker ", description="Enter a text to check its spelling") interface.launch()