Update app.py

app.py

@@ -12,14 +12,20 @@ class HadithClassificationApp:
         # Download NLTK resources if needed
         nltk.download('punkt')
 
+        # Define file paths
+        base_path = os.path.dirname(__file__)
+        dataset_path = os.path.join(base_path, "Preprocess_LK_Hadith_dataset.csv")
+        vectorizer_path = os.path.join(base_path, "tfidf_vectorizer.pkl")
+        similarity_model_path = os.path.join(base_path, "cosine_similarity_model.pkl")
+
         # Load the dataset and labels
-        self.dataset = pd.read_csv("/home/user/app/Preprocess_LK_Hadith_dataset.csv")
+        self.dataset = pd.read_csv(dataset_path)
         self.labels = self.dataset['Arabic_Grade']
 
         # Load the models
-        with open("tfidf_vectorizer.pkl", "rb") as f:
+        with open(vectorizer_path, "rb") as f:
             self.vectorizer = pickle.load(f)
-        with open("cosine_similarity_model.pkl", "rb") as f:
+        with open(similarity_model_path, "rb") as f:
             self.X = pickle.load(f)
 
     @staticmethod