Update app.py

app.py

@@ -148,19 +148,18 @@ def correct_spelling(text):
 def replace_with_synonyms(text):
     doc = nlp(text)
     replaced_words = []
-    for token in doc:
-        if token.pos_ in {"NOUN", "VERB", "ADJ", "ADV"}:  # Limit to specific POS
-            synonyms = wordnet.synsets(token.text)
-            if synonyms:
-                # Select synonyms with the same part of speech
-                relevant_synonyms = [syn for syn in synonyms if syn.pos() == token.pos_.lower()]
+
+    for index, token in enumerate(doc):
+        # Replace every 2nd and 4th word
+        if (index + 1) % 2 == 0 or (index + 1) % 4 == 0:
+            # Check if the token has synonyms in the dictionary
+            if token.text in synonyms_dict:
+                relevant_synonyms = synonyms_dict[token.text]
                 if relevant_synonyms:
-                    # Randomly choose a synonym from the relevant options
-                    synonym = random.choice(relevant_synonyms).lemmas()[0].name().replace('_', ' ')
-                    if synonym.lower() != token.text.lower():  # Avoid replacing with the same word
-                        replaced_words.append(synonym)
-                    else:
-                        replaced_words.append(token.text)
+                    # Randomly choose a synonym from the available options
+                    synonym = random.choice(relevant_synonyms)
+                    # Add the synonym instead of the original word
+                    replaced_words.append(synonym)
                 else:
                     replaced_words.append(token.text)  # No relevant synonym found
             else: