Upload app (1).py

app (1).py

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+import streamlit as st
+import pandas as pd
+import joblib
+from huggingface_hub import hf_hub_download
+
+st.set_page_config(page_title="Tourism Predictor", page_icon="✈️")
+
+@st.cache_resource
+def load_model():
+    model_path = hf_hub_download("Supreeth15/tourism-model", "best_model.pkl")
+    return joblib.load(model_path)
+
+st.title("🌍 Tourism Package Predictor")
+st.write("Predict Wellness Tourism Package purchase")
+
+model = load_model()
+st.success("✅ Model loaded: Bagging")
+
+# Input form
+col1, col2 = st.columns(2)
+with col1:
+    age = st.number_input("Age", 18, 100, 30)
+    income = st.number_input("Monthly Income", 0, 200000, 30000)
+with col2:
+    trips = st.number_input("Number of Trips", 0, 20, 2)
+    passport = st.selectbox("Passport", [0, 1])
+
+if st.button("Predict"):
+    st.info("Demo prediction interface")
+    st.write("Model: Bagging")
+    st.write("ROC-AUC: 0.9584")