Update app.py

app.py

@@ -6,7 +6,7 @@ import subprocess
 import nltk
 from nltk.corpus import wordnet
 from gensim import downloader as api
-from gingerit.gingerit import GingerIt
+from textblob import TextBlob
 
 # Ensure necessary NLTK data is downloaded
 nltk.download('wordnet')
@@ -29,9 +29,6 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 tokenizer_ai = AutoTokenizer.from_pretrained("distilbert-base-uncased-finetuned-sst-2-english")
 model_ai = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased-finetuned-sst-2-english").to(device)
 
-# Initialize GingerIt parser
-parser = GingerIt()
-
 # AI detection function using DistilBERT
 def detect_ai_generated(text):
     inputs = tokenizer_ai(text, return_tensors="pt", truncation=True, max_length=512).to(device)
@@ -100,10 +97,10 @@ def paraphrase_with_spacy_nltk(text):
     
     return corrected_text
 
-# Function to correct grammar using GingerIt
+# Function to correct grammar using TextBlob
 def correct_grammar(text):
-    result = parser.parse(text)
-    return result['result']
+    blob = TextBlob(text)
+    return str(blob.correct())
 
 # Combined function: Paraphrase -> Capitalization -> Grammar Correction
 def paraphrase_and_correct(text):