Upload 3 files

app.py

@@ -0,0 +1,32 @@
+import streamlit as st
+import pickle
+
+# Load the model and vectorizer
+with open("model.pkl", "rb") as f:
+    model = pickle.load(f)
+
+with open("vectorizer.pkl", "rb") as f:
+    vectorizer = pickle.load(f)
+
+# Streamlit App
+st.title("📩 SMS Spam Classifier")
+
+st.write("Enter an SMS message below to check whether it's **Spam** or **Not Spam**.")
+
+# Text input box
+sms_input = st.text_area("Enter your message here:")
+
+# Predict button
+if st.button("Predict"):
+    if sms_input.strip() == "":
+        st.warning("⚠️ Please enter a message to classify.")
+    else:
+        # Transform input and predict
+        input_vector = vectorizer.transform([sms_input])
+        prediction = model.predict(input_vector)[0]
+
+        # Output result
+        if prediction == 1:
+            st.error("🚫 This message is **Spam**.")
+        else:
+            st.success("✅ This message is **Not Spam**.")

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:555523bd2e2e54b6f5dcadf51052fb4a41d195dc3abe2826c355d75a623869fa
+size 96608

vectorizer.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66e69cf50dbbc7782938b8340ad91bbb01722063f528e331c5bbf5d379fdb062
+size 105805