Update app.py

app.py

@@ -1,12 +1,11 @@
 import gradio as gr
-from transformers import AutoTokenizer, AutoModelForSequenceClassification
+from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 import torch
 import spacy
 import subprocess
 import nltk
 from nltk.corpus import wordnet
 from gensim import downloader as api
-from textblob import TextBlob  # Import TextBlob for simple grammar correction
 
 # Ensure necessary NLTK data is downloaded
 nltk.download('wordnet')
@@ -29,6 +28,9 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased-finetuned-sst-2-english")
 model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased-finetuned-sst-2-english").to(device)
 
+# Load grammar correction model from Hugging Face
+grammar_corrector = pipeline("text2text-generation", model="prithivida/grammar-error-correction", device=0 if torch.cuda.is_available() else -1)
+
 # AI detection function using DistilBERT
 def detect_ai_generated(text):
     inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512).to(device)
@@ -76,10 +78,9 @@ def paraphrase_with_spacy_nltk(text):
     
     return paraphrased_sentence
 
-# Grammar correction function using TextBlob
+# Grammar correction function using Hugging Face grammar correction model
 def correct_grammar(text):
-    blob = TextBlob(text)
-    corrected_text = str(blob.correct())
+    corrected_text = grammar_corrector(text)[0]['generated_text']
     return corrected_text
 
 # Combined function: Paraphrase -> Grammar Check