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app.py

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+import streamlit as st
+import pandas as pd
+import joblib
+
+st.title("Wellness Tourism Package Predictor")
+
+model = joblib.load("model.joblib")
+
+age = st.number_input("Age", 18, 100)
+income = st.number_input("Monthly Income", 0)
+trips = st.number_input("Number of Trips", 0)
+
+if st.button("Predict"):
+    df = pd.DataFrame([{
+        "Age": age,
+        "MonthlyIncome": income,
+        "NumberOfTrips": trips
+    }])
+    prob = model.predict_proba(df)[0][1]
+    st.success(f"Purchase Probability: {prob:.2f}")

requirements.txt

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+streamlit
+pandas
+scikit-learn
+joblib