diff --git a/Deep_Learning/Spam Vs Ham Mail Classification [With Streamlit GUI]/Model/app1.py b/Deep_Learning/Spam Vs Ham Mail Classification [With Streamlit GUI]/Model/app1.py
index fdaa5846c1..e8ad13ac84 100644
--- a/Deep_Learning/Spam Vs Ham Mail Classification [With Streamlit GUI]/Model/app1.py	
+++ b/Deep_Learning/Spam Vs Ham Mail Classification [With Streamlit GUI]/Model/app1.py	
@@ -41,7 +41,7 @@ def transform_text(text):
 # Store the model in your file
 # here we can store the tfidf and model pkl file in a specfic folder and use it.
 tfidf=pickle.load(open('vectorizer.pkl','rb'))
-model=pickle.load(open('bnb.pkl','rb'))
+model=pickle.load(open('best_model.pkl','rb'))
 
 st.title('SMS Spam Classification')
 
@@ -58,4 +58,4 @@ def transform_text(text):
         st.title("SMS is Spam")
 
     else:
-        st.title("SMS is not Spam")
\ No newline at end of file
+        st.title("SMS is not Spam")