Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import joblib
+from huggingface_hub import hf_hub_download
+
+path = hf_hub_download(repo_id="Akshat747/tourism-model",
+                       filename="model.joblib",
+                       repo_type="model")
+
+model = joblib.load(path)
+
+st.title("Wellness Package Purchase Predictor")
+
+age = st.number_input("Age", 18, 100)
+income = st.number_input("Monthly Income")
+trips = st.number_input("Number of Trips per year")
+
+if st.button("Predict"):
+    df = pd.DataFrame([[age, income, trips]],
+                      columns=["Age","MonthlyIncome","NumberOfTrips"])
+    pred = model.predict(df)[0]
+    st.success(f"Prediction: {'Will Purchase' if pred==1 else 'Will Not Purchase'}")