src/streamlit_app.py

import streamlit as st
import joblib
import os

# ======================
# LOAD MODEL
# ======================
BASE_DIR = os.path.dirname(os.path.abspath(__file__))

model = joblib.load(os.path.join(BASE_DIR, "model.pkl"))
vectorizer = joblib.load(os.path.join(BASE_DIR, "vectorizer.pkl"))

# ======================
# PAGE
# ======================
st.set_page_config(page_title="SMS Spam Detection", page_icon="📩")

st.title("📩 SMS Spam Detection")
st.write("Classify SMS messages as Spam or Ham")

# ======================
# INPUT
# ======================
message = st.text_area("Enter your message")

# ======================
# PREDICT
# ======================
if st.button("Predict"):

    message_vec = vectorizer.transform([message])

    prediction = model.predict(message_vec)[0]
    proba = model.predict_proba(message_vec)
    confidence = proba.max()

    if prediction == "spam":
        st.error(f"🚫 Spam ({confidence:.2%})")
    else:
        st.success(f"✅ Ham ({confidence:.2%})")