Update app.py

app.py

@@ -5,9 +5,8 @@ import streamlit as st
 
 vectorizer = TfidfVectorizer(use_idf=True, lowercase=True, strip_accents='ascii', stop_words='english')
 user_input = st.text_input("Enter some text:", "Default Text")
-st.write(type(user_input))
-x = vectorizer.transform(np.array(user_input))
-model = load('Naive_Bayes_Spam_Detection.joblib')
-pred = model.predict(x)
-
-st.write(pred)
+if user_vector is not None
+    x = vectorizer.fit_transform(np.array(user_input))
+    model = load('Naive_Bayes_Spam_Detection.joblib')
+    pred = model.predict(x)
+    st.write(pred)