Upload 3 files

app.py

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+import streamlit as st
+import pickle
+
+# Load the model
+with open('best_model.pkl', 'rb') as f:
+  model = pickle.load(f)
+
+# Streamlit app
+st.title("SMS Spam Classifier")
+message = st.text_area("Enter your message:")
+
+if st.button("Classify"):
+  prediction = model.predict([message])
+  if prediction == 1:
+    st.write("This message is classified as SPAM.⚠️⚠️⚠️")
+  else:
+    st.write("This message is classified as NOT SPAM.")

best_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fca28fa548ce5c6f4b6800b5ed864bc7d4d2199ecf0f4d60aff17e6656a62a6d
+size 450931

requirements.txt

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+streamlit
+nltk
+sklearn