Create app.py

app.py

@@ -0,0 +1,12 @@
+from joblib import load
+from sklearn.feature_extraction.text import TfidfVectorizer
+import numpy as np
+
+vectorizer = TfidfVectorizer(use_idf=True, lowercase=True, strip_accents='ascii', stop_words='english')
+user_input = st.text_input("Enter some text:", "Default Text")
+
+x = vectorizer.fit([str(user_input)])
+model = load('Naive_Bayes_Spam_Detection.joblib')
+pred = model.predict(x)
+
+st.write(pred)