Update app.py

app.py

@@ -55,18 +55,14 @@ def check_tense_and_correct(text):
     corrected_text = []
     
     for token in doc:
-        # Checking for verbs and their tense
         if token.pos_ == 'VERB':
-            tense = token.tag_  # Get the specific tense tag (e.g., VBZ, VBD, VBG, etc.)
-            
-            if tense == 'VBZ':  # 3rd person singular present
-                corrected_text.append(token.lemma_)  # Replace with base form (example: goes -> go)
-            elif tense == 'VBD':  # Past tense
-                corrected_text.append(token.text)  # Keep past tense as is
-            elif tense == 'VBG':  # Gerund/Present participle
-                corrected_text.append(token.text)  # Keep it unchanged for now
+            tense = token.tag_
+            if tense == 'VBZ':  
+                corrected_text.append(token.lemma_)
+            elif tense == 'VBD':  
+                corrected_text.append(token.text)
             else:
-                corrected_text.append(token.text)  # For other cases, append the word as is
+                corrected_text.append(token.text)
         else:
             corrected_text.append(token.text)
     
@@ -80,9 +76,9 @@ def capitalize_sentences_and_nouns(text):
     for sent in doc.sents:
         sentence = []
         for token in sent:
-            if token.i == sent.start:  # First word of the sentence
+            if token.i == sent.start:
                 sentence.append(token.text.capitalize())
-            elif token.pos_ == "PROPN":  # Proper noun
+            elif token.pos_ == "PROPN":
                 sentence.append(token.text.capitalize())
             else:
                 sentence.append(token.text)
@@ -96,7 +92,6 @@ def paraphrase_with_spacy_nltk(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
@@ -108,17 +103,12 @@ def paraphrase_with_spacy_nltk(text):
             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
@@ -130,16 +120,9 @@ def correct_grammar(text):
 
 # Combined function: Paraphrase -> Tense Check -> Capitalization -> Grammar Correction
 def paraphrase_and_correct(text):
-    # Step 1: Paraphrase the text
     paraphrased_text = paraphrase_with_spacy_nltk(text)
-    
-    # Step 2: Check tense and verbs, and attempt correction
     tense_checked_text = check_tense_and_correct(paraphrased_text)
-    
-    # Step 3: Capitalize sentences and proper nouns
     capitalized_text = capitalize_sentences_and_nouns(tense_checked_text)
-    
-    # Step 4: Correct grammar using Gramformer
     final_text = correct_grammar(capitalized_text)
     
     return final_text