Update app.py

app.py

@@ -6,7 +6,7 @@ from sklearn.feature_extraction.text import CountVectorizer
 cv = CountVectorizer()
 # Load the pickled model
 def load_model():
-    return pickle.load(open('Iris_Flower_Classification_RandomForest.pkl', 'rb')) #Load model from notebook
+    return pickle.load(open('Sarcasm_Detection_BernoulliNB.pkl', 'rb')) #Load model from notebook
 
 # Function for model prediction
 def model_prediction(model, features):