Update app.py

app.py

@@ -10,9 +10,13 @@ from sklearn.preprocessing import StandardScaler
 import joblib
 
 # Load Dataset
-data = pd.read_csv('sarcasm_dataset.csv')
+data = pd.read_csv(load_dataset("nikesh66/Sarcasm-dataset"))
 data['user_feature'] = data['user_feature'].fillna(0)
 
+from datasets import load_dataset
+
+
+
 # Preprocessing
 text_vectorizer = TfidfVectorizer(max_features=5000, stop_words='english')
 scaler = StandardScaler()