Update app.py

app.py

@@ -61,6 +61,7 @@ def correct_tense_errors(text):
 
     for token in doc:
         if token.pos_ == "VERB":
+            # Check if verb is in its base form
             if token.tag_ == "VB" and token.text.lower() not in ["be", "have", "do"]:
                 # Attempt to correct verb form based on sentence context
                 context = " ".join([t.text for t in doc if t.i != token.i])
@@ -113,10 +114,12 @@ def correct_article_errors(text):
     for token in doc:
         if token.text in ['a', 'an']:
             next_token = token.nbor(1)
-            if next_token.text[0].lower() in "aeiou":
-                corrected_text.append("an" if token.text == "a" else token.text)
+            if token.text == "a" and next_token.text[0].lower() in "aeiou":
+                corrected_text.append("an")
+            elif token.text == "an" and next_token.text[0].lower() not in "aeiou":
+                corrected_text.append("a")
             else:
-                corrected_text.append("a" if token.text == "an" else token.text)
+                corrected_text.append(token.text)
         else:
             corrected_text.append(token.text)
     return ' '.join(corrected_text)
@@ -125,7 +128,7 @@ def correct_article_errors(text):
 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
@@ -137,11 +140,11 @@ def paraphrase_with_spacy_nltk(text):
             pos = wordnet.ADJ
         elif token.pos_ == "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"}:
+        if synonyms:
             paraphrased_words.append(synonyms[0])
         else:
             paraphrased_words.append(token.text)