Update app.py

app.py

@@ -6,7 +6,7 @@ import subprocess
 import nltk
 from nltk.corpus import wordnet
 from gensim import downloader as api
-import language_tool_python
+from gingerit.gingerit import GingerIt
 
 # 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 LanguageTool
-tool = language_tool_python.LanguageTool('en-US')
+# Initialize GingerIt parser
+parser = GingerIt()
 
 # AI detection function using DistilBERT
 def detect_ai_generated(text):
@@ -100,11 +100,10 @@ def paraphrase_with_spacy_nltk(text):
     
     return corrected_text
 
-# Function to correct grammar using LanguageTool
+# Function to correct grammar using GingerIt
 def correct_grammar(text):
-    matches = tool.check(text)
-    corrected_text = language_tool_python.utils.correct(text, matches)
-    return corrected_text
+    result = parser.parse(text)
+    return result['result']
 
 # Combined function: Paraphrase -> Capitalization -> Grammar Correction
 def paraphrase_and_correct(text):