Update app.py

app.py

@@ -37,6 +37,13 @@ def get_synonyms_nltk(word, pos):
         return [lemma.name() for lemma in lemmas]
     return []
 
+# Function to remove redundant and meaningless words
+def remove_redundant_words(text):
+    doc = nlp(text)
+    meaningless_words = {"actually", "basically", "literally", "really", "very", "just"}
+    filtered_text = [token.text for token in doc if token.text.lower() not in meaningless_words]
+    return ' '.join(filtered_text)
+
 # Function to capitalize the first letter of sentences and proper nouns
 def capitalize_sentences_and_nouns(text):
     doc = nlp(text)
@@ -61,7 +68,6 @@ def correct_tense_errors(text):
     corrected_text = []
     for token in doc:
         if token.pos_ == "VERB" and token.dep_ in {"aux", "auxpass"}:
-            # Replace with appropriate verb form
             lemma = wordnet.morphy(token.text, wordnet.VERB) or token.text
             corrected_text.append(lemma)
         else:
@@ -161,11 +167,7 @@ def correct_spelling(text):
     words = text.split()
     corrected_words = []
     for word in words:
-        candidates = spell.candidates(word)
-        if candidates:
-            corrected_word = spell.candidates(word).pop()
-        else:
-            corrected_word = word
+        corrected_word = spell.correction(word)
         corrected_words.append(corrected_word)
     return ' '.join(corrected_words)
 
@@ -206,9 +208,13 @@ def rephrase_with_synonyms(text):
 
     return ' '.join(rephrased_text)
 
-# Function to paraphrase and correct grammar
+# Function to paraphrase and correct grammar with enhanced accuracy
 def paraphrase_and_correct(text):
-    paraphrased_text = capitalize_sentences_and_nouns(text)  # Capitalize first to ensure proper noun capitalization
+    # Remove meaningless or redundant words first
+    cleaned_text = remove_redundant_words(text)
+    
+    # Capitalize sentences and nouns
+    paraphrased_text = capitalize_sentences_and_nouns(cleaned_text)
     
     # Apply grammatical corrections
     paraphrased_text = correct_article_errors(paraphrased_text)