Update app.py

app.py

@@ -7,9 +7,9 @@ from nltk.corpus import stopwords
 from nltk.stem.porter import PorterStemmer
 import gradio as gr
 
-model = joblib.load('/content/gdrive/MyDrive/Colab Notebooks/Email Spam Classifier/naive_bayes_model.sav')
-tfidf = joblib.load('/content/gdrive/MyDrive/Colab Notebooks/Email Spam Classifier/TfIdfVectorizer.sav')
-pipe = joblib.load('/content/gdrive/MyDrive/Colab Notebooks/Email Spam Classifier/pipeline.sav')
+model = joblib.load('naive_bayes_model.sav')
+tfidf = joblib.load('TfIdfVectorizer.sav')
+pipe = joblib.load('pipeline.sav')
 
 def predict_NB(text):
   text = text.lower()