Create new file

app.py

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+import joblib
+import pandas as pd
+import streamlit as st
+
+
+
+model = joblib.load('model.joblib')
+unique_values = joblib.load('unique_values.joblib')
+    
+unique_sex =  unique_values["sex"]
+unique_smoker =  unique_values["smoker"]
+unique_region =  unique_values["region"]
+
+
+
+def main():
+    st.title("medical expenses")
+
+    with st.form("questionaire"):
+        age = st.slider("Age", min_value =18,max_value=64)
+        sex = st.selectbox("Sex", options=unique_sex)
+        bmi = st.slider("Bmi",min_value=15.96,max_value=53.13)
+        children = st.slider("Children", min_value=0,max_value=5)
+        smoker = st.selectbox("Smoker", options=unique_smoker)
+        region = st.selectbox("Region",options=unique_region)
+        
+
+        # clicked==True only when the button is clicked
+        clicked = st.form_submit_button("Predict medical expenses")
+        if clicked:
+            result=model.predict(pd.DataFrame({"age": [age],
+                                               "sex": [sex],
+                                               "bmi": [bmi],
+                                               "children": [children],
+                                               "smoker": [smoker],
+                                               "region": [region]}))
+            st.success("You predict medical expenses is" +result)
+if __name__ == "__main__":
+    main()            
+
+# Run main()