Update app.py

app.py

@@ -3,6 +3,7 @@ from sklearn.feature_extraction.text import TfidfVectorizer
 import numpy as np
 import streamlit as st
 st.header('Spam Detection using Naive Bayes Classifier')
+st.write('This is spam detection developed with python using Naive Bayes Classifier')
 vectorizer = load('tfidf_vectorizer.joblib')
 user_input = st.text_input("Enter some text:", "")
 if user_input is not None: