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 import GingerIt
+import language_tool_python  # LanguageTool for grammar checking
 
 # Ensure necessary NLTK data is downloaded
 nltk.download('wordnet')
@@ -29,8 +29,8 @@ 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()
+# Initialize LanguageTool for grammar correction (English)
+tool = language_tool_python.LanguageTool('en-US')
 
 # AI detection function using DistilBERT
 def detect_ai_generated(text):
@@ -123,10 +123,11 @@ def paraphrase_with_spacy_nltk(text):
     
     return corrected_text
 
-# Function to correct grammar using GingerIt
+# Function to correct grammar using LanguageTool
 def correct_grammar(text):
-    result = parser.parse(text)
-    return result['result']
+    # Apply grammar and spelling suggestions
+    corrected_text = tool.correct(text)
+    return corrected_text
 
 # Combined function: Paraphrase -> Tense Check -> Capitalization -> Grammar Correction
 def paraphrase_and_correct(text):