Create new file

app_tree.py

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+import joblib
+import pandas as pd
+
+model = joblib.load('model.joblib')
+
+def main():
+    st.title("Network Ads")
+    with st.form("questionaire"):
+        age = st.slider('Age',min_value=10,max_value=100)
+        salary = st.slider('Estimated Salary',min_value=10000,max_value=100000)
+        clicked = st.form_submit_button("Predict income")
+        if clicked:
+            result=model.predict(pd.DataFrame({"age": [age],'Estimated Salary':[salary]}))
+            # Show prediction
+            result ='Buy' if result[0]==1 else '<=Not Buy'
+            st.success("You will" +result+"this product")
+# Run main()
+if __name__=="__main__":
+    main()