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Update app.py
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app.py
CHANGED
@@ -68,6 +68,20 @@ def force_first_letter_capital(text):
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capitalized_sentences = [sentence[0].capitalize() + sentence[1:] if sentence else "" for sentence in sentences]
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return ". ".join(capitalized_sentences)
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# Function to correct tense errors in a sentence
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def correct_tense_errors(text):
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doc = nlp(text)
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@@ -205,7 +219,7 @@ def rephrase_with_synonyms(text):
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elif token.tag_ == "VBZ": # Third-person singular present
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synonym = synonym + 's'
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elif token.pos_ == "NOUN" and token.tag_ == "NNS": # Plural nouns
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synonym += 's' if not synonym
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rephrased_text.append(synonym)
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else:
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rephrased_text.append(token.text)
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@@ -214,10 +228,26 @@ def rephrase_with_synonyms(text):
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return ' '.join(rephrased_text)
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#
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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(
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# Capitalize sentences and nouns
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paraphrased_text = capitalize_sentences_and_nouns(cleaned_text)
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@@ -225,6 +255,9 @@ def paraphrase_and_correct(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_singular_plural_errors(paraphrased_text)
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capitalized_sentences = [sentence[0].capitalize() + sentence[1:] if sentence else "" for sentence in sentences]
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return ". ".join(capitalized_sentences)
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# Function to handle possessive 's and retain original meaning
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def handle_possessives(text):
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doc = nlp(text)
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corrected_text = []
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for token in doc:
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# If token is a possessive form (e.g., 'Earth's'), retain its original form
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if token.text.endswith("'s") or token.text == "'s":
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corrected_text.append(token.text) # Keep it as is, even if a synonym is found
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else:
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corrected_text.append(token.text)
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return ' '.join(corrected_text)
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# Function to correct tense errors in a sentence
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def correct_tense_errors(text):
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doc = nlp(text)
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elif token.tag_ == "VBZ": # Third-person singular present
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synonym = synonym + 's'
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elif token.pos_ == "NOUN" and token.tag_ == "NNS": # Plural nouns
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synonym += 's' if not synonym ends with 's' else ""
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rephrased_text.append(synonym)
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else:
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rephrased_text.append(token.text)
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return ' '.join(rephrased_text)
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# Retain the structure of the input text (headings, paragraphs, line breaks)
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def retain_structure(text):
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lines = text.split("\n")
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formatted_lines = []
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for line in lines:
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if line.strip().isupper(): # Heading if all caps
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formatted_lines.append(f"# {line.strip()}") # Treat it as a heading
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else:
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formatted_lines.append(line) # Otherwise, it's a paragraph or normal text
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return "\n".join(formatted_lines)
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# Function to paraphrase and correct grammar with enhanced accuracy and retain structure
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def paraphrase_and_correct(text):
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# Retain the structure (headings, paragraphs, line breaks)
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structured_text = retain_structure(text)
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# Remove meaningless or redundant words first
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cleaned_text = remove_redundant_words(structured_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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# Handle possessives properly
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paraphrased_text = handle_possessives(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_singular_plural_errors(paraphrased_text)
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