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Update app.py
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app.py
CHANGED
@@ -42,23 +42,19 @@ def fix_punctuation_spacing(text):
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# Split the text into words and punctuation
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words = text.split(' ')
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cleaned_words = []
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# Define punctuation marks to check
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punctuation_marks = {',', '.', "'", '!', '?', ':'}
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for word in words:
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# If the word ends with a punctuation mark, remove space before it
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if cleaned_words and word and word[0] in punctuation_marks:
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cleaned_words[-1] += word
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else:
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cleaned_words.append(word)
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return ' '.join(cleaned_words).replace(' ,', ',').replace(' .', '.').replace(" '", "'") \
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.replace(' !', '!').replace(' ?', '?').replace(' :', ':')
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# Function to fix possessives like "Earth's"
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def fix_possessives(text):
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# Simple rule to catch possessives and correct spacing
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text = re.sub(r'(\w)\s\'\s?s', r"\1's", text)
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return text
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@@ -70,9 +66,9 @@ def capitalize_sentences_and_nouns(text):
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for sent in doc.sents:
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sentence = []
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for token in sent:
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if token.i == sent.start:
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sentence.append(token.text.capitalize())
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elif token.pos_ == "PROPN":
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sentence.append(token.text.capitalize())
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else:
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sentence.append(token.text)
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@@ -82,14 +78,12 @@ def capitalize_sentences_and_nouns(text):
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# Function to force capitalization of the first letter of every sentence and ensure full stops
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def force_first_letter_capital(text):
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sentences = re.split(r'(?<=\w[.!?])\s+', text)
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capitalized_sentences = []
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for sentence in sentences:
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if sentence:
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# Capitalize the first letter if not already capitalized
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capitalized_sentence = sentence[0].capitalize() + sentence[1:]
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# Ensure there's a full stop at the end if there's no punctuation
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if not re.search(r'[.!?]$', capitalized_sentence):
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capitalized_sentence += '.'
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capitalized_sentences.append(capitalized_sentence)
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@@ -131,9 +125,9 @@ def ensure_subject_verb_agreement(text):
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corrected_text = []
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for token in doc:
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if token.dep_ == "nsubj" and token.head.pos_ == "VERB":
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if token.tag_ == "NN" and token.head.tag_ != "VBZ":
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corrected_text.append(token.head.lemma_ + "s")
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elif token.tag_ == "NNS" and token.head.tag_ == "VBZ":
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corrected_text.append(token.head.lemma_)
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corrected_text.append(token.text)
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return ' '.join(corrected_text)
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@@ -147,31 +141,41 @@ def correct_spelling(text):
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if corrected_word is not None:
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corrected_words.append(corrected_word)
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else:
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corrected_words.append(word)
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return ' '.join(corrected_words)
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# Main function for paraphrasing and grammar correction
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def paraphrase_and_correct(text):
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# Remove meaningless or redundant words first
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cleaned_text = remove_redundant_words(text)
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# Capitalize sentences and nouns
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paraphrased_text = capitalize_sentences_and_nouns(cleaned_text)
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# Ensure first letter of each sentence is capitalized
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paraphrased_text = force_first_letter_capital(paraphrased_text)
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# Apply grammatical corrections
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paraphrased_text = correct_article_errors(paraphrased_text)
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paraphrased_text = correct_tense_errors(paraphrased_text)
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paraphrased_text = ensure_subject_verb_agreement(paraphrased_text)
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# Fix punctuation spacing and possessives
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paraphrased_text = fix_possessives(paraphrased_text)
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# Correct spelling errors
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paraphrased_text = correct_spelling(paraphrased_text)
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paraphrased_text = fix_punctuation_spacing(paraphrased_text)
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return paraphrased_text
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# Split the text into words and punctuation
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words = text.split(' ')
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cleaned_words = []
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punctuation_marks = {',', '.', "'", '!', '?', ':'}
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for word in words:
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if cleaned_words and word and word[0] in punctuation_marks:
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cleaned_words[-1] += word
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else:
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cleaned_words.append(word)
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return ' '.join(cleaned_words).replace(' ,', ',').replace(' .', '.').replace(" '", "'") \
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.replace(' !', '!').replace(' ?', '?').replace(' :', ':')
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# Function to fix possessives like "Earth's"
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def fix_possessives(text):
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text = re.sub(r'(\w)\s\'\s?s', r"\1's", text)
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return text
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for sent in doc.sents:
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sentence = []
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for token in sent:
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if token.i == sent.start:
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sentence.append(token.text.capitalize())
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elif token.pos_ == "PROPN":
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sentence.append(token.text.capitalize())
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else:
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sentence.append(token.text)
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# Function to force capitalization of the first letter of every sentence and ensure full stops
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def force_first_letter_capital(text):
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sentences = re.split(r'(?<=\w[.!?])\s+', text)
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capitalized_sentences = []
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for sentence in sentences:
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if sentence:
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capitalized_sentence = sentence[0].capitalize() + sentence[1:]
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if not re.search(r'[.!?]$', capitalized_sentence):
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capitalized_sentence += '.'
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capitalized_sentences.append(capitalized_sentence)
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corrected_text = []
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for token in doc:
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if token.dep_ == "nsubj" and token.head.pos_ == "VERB":
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if token.tag_ == "NN" and token.head.tag_ != "VBZ":
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corrected_text.append(token.head.lemma_ + "s")
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elif token.tag_ == "NNS" and token.head.tag_ == "VBZ":
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corrected_text.append(token.head.lemma_)
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corrected_text.append(token.text)
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return ' '.join(corrected_text)
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if corrected_word is not None:
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corrected_words.append(corrected_word)
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else:
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corrected_words.append(word)
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return ' '.join(corrected_words)
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# Function to replace a word with its synonym
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def replace_with_synonyms(text):
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words = text.split()
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replaced_words = []
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for word in words:
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synonyms = wordnet.synsets(word)
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if synonyms:
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# Take the first synonym if available
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synonym = synonyms[0].lemmas()[0].name()
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# Replace the word with its synonym if it's different
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if synonym.lower() != word.lower():
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replaced_words.append(synonym.replace('_', ' '))
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else:
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replaced_words.append(word)
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else:
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replaced_words.append(word)
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return ' '.join(replaced_words)
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# Main function for paraphrasing and grammar correction
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def paraphrase_and_correct(text):
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cleaned_text = remove_redundant_words(text)
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paraphrased_text = capitalize_sentences_and_nouns(cleaned_text)
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paraphrased_text = force_first_letter_capital(paraphrased_text)
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paraphrased_text = correct_article_errors(paraphrased_text)
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paraphrased_text = correct_tense_errors(paraphrased_text)
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paraphrased_text = ensure_subject_verb_agreement(paraphrased_text)
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paraphrased_text = fix_possessives(paraphrased_text)
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paraphrased_text = correct_spelling(paraphrased_text)
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paraphrased_text = fix_punctuation_spacing(paraphrased_text)
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paraphrased_text = replace_with_synonyms(paraphrased_text) # Add synonym replacement here
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return paraphrased_text
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