Update app.py

app.py

@@ -78,6 +78,78 @@ def correct_grammar_tense_plural(text):
     text = check_pluralization_error(text)
     return text
 
+# Function to get synonyms using NLTK WordNet (Humanifier)
+def get_synonyms_nltk(word, pos):
+    synsets = wordnet.synsets(word, pos=pos)
+    if synsets:
+        lemmas = synsets[0].lemmas()
+        return [lemma.name() for lemma in lemmas]
+    return []
+
+# Function to capitalize the first letter of sentences and proper nouns (Humanifier)
+def capitalize_sentences_and_nouns(text):
+    doc = nlp(text)
+    corrected_text = []
+
+    for sent in doc.sents:
+        sentence = []
+        for token in sent:
+            if token.i == sent.start:  # First word of the sentence
+                sentence.append(token.text.capitalize())
+            elif token.pos_ == "PROPN":  # Proper noun
+                sentence.append(token.text.capitalize())
+            else:
+                sentence.append(token.text)
+        corrected_text.append(' '.join(sentence))
+
+    return ' '.join(corrected_text)
+
+# Paraphrasing function using SpaCy and NLTK (Humanifier)
+def paraphrase_with_spacy_nltk(text):
+    doc = nlp(text)
+    paraphrased_words = []
+    
+    for token in doc:
+        # Map SpaCy POS tags to WordNet POS tags
+        pos = None
+        if token.pos_ in {"NOUN"}:
+            pos = wordnet.NOUN
+        elif token.pos_ in {"VERB"}:
+            pos = wordnet.VERB
+        elif token.pos_ in {"ADJ"}:
+            pos = wordnet.ADJ
+        elif token.pos_ in {"ADV"}:
+            pos = wordnet.ADV
+        
+        synonyms = get_synonyms_nltk(token.text.lower(), pos) if pos else []
+        
+        # Replace with a synonym only if it makes sense
+        if synonyms and token.pos_ in {"NOUN", "VERB", "ADJ", "ADV"} and synonyms[0] != token.text.lower():
+            paraphrased_words.append(synonyms[0])
+        else:
+            paraphrased_words.append(token.text)
+    
+    # Join the words back into a sentence
+    paraphrased_sentence = ' '.join(paraphrased_words)
+    
+    # Capitalize sentences and proper nouns
+    corrected_text = capitalize_sentences_and_nouns(paraphrased_sentence)
+    
+    return corrected_text
+
+# Combined function: Paraphrase -> Capitalization -> Grammar Correction
+def paraphrase_and_correct(text):
+    # Step 1: Paraphrase the text
+    paraphrased_text = paraphrase_with_spacy_nltk(text)
+    
+    # Step 2: Capitalize sentences and proper nouns
+    capitalized_text = capitalize_sentences_and_nouns(paraphrased_text)
+
+    # Step 3: Correct grammar, tense, and pluralization
+    final_text = correct_grammar_tense_plural(capitalized_text)
+    
+    return final_text
+
 # Gradio app setup with three tabs
 with gr.Blocks() as demo:
     with gr.Tab("AI Detection"):