Update app.py

app.py

@@ -1,65 +1,41 @@
 import joblib
 import pandas as pd
+import streamlit as st
 
 
-EDU_DICT = {'Preschool': 1,
-            '1st-4th': 2,
-            '5th-6th': 3,
-            '7th-8th': 4,
-            '9th': 5,
-            '10th': 6,
-            '11th': 7,
-            '12th': 8,
-            'HS-grad': 9, 
-            'Some-college': 10,
-            'Assoc-voc': 11,
-            'Assoc-acdm': 12,
-            'Bachelors': 13,
-            'Masters': 14,
-            'Prof-school': 15,
-            'Doctorate': 16
-            }
 
-model = #
-unique_values = #
+model = joblib.load('model.joblib')
+unique_values = joblib.load('unique_values.joblib')
     
-unique_class =  unique_values["workclass"]
-unique_education =  unique_values["education"]
-unique_marital_status =  unique_values["marital.status"]
-unique_relationship =  unique_values["relationship"]
-unique_occupation =  unique_values["occupation"]
 unique_sex =  unique_values["sex"]
-unique_race = unique_values["race"]
-unique_country =  unique_values["native.country"]
+unique_smoker =  unique_values["smoker"]
+unique_region =  unique_values["region"]
+
+
 
 def main():
-    st.title("Adult Income")
+    st.title("medical expenses")
 
     with st.form("questionaire"):
-        age = # user's input
-        workclass = # user's input
-        education = # user's input
-        Marital_Status = # user's input
-        occupation = # user's input
-        relationship = # user's input
-        race = # user's input
-        sex = # user's input
-        hours_per_week = # user's input
-        native_country = # user's input
+        age = st.slider("Age", min_value =10,max_value=100)
+        sex = st.selectbox("Sex", options=unique_sex)
+        bmi = st.slider("Bmi",min_value=10,max_value=100)
+        children = st.slider("Children", min_value=10,max_value=100)
+        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 income")
+        clicked = st.form_submit_button("Predict medical expenses")
         if clicked:
             result=model.predict(pd.DataFrame({"age": [age],
-                                               "workclass": [workclass],
-                                               "education": [EDU_DICT[education]],
-                                               "marital.status": [Marital_Status],
-                                               "occupation": [occupation],
-                                               "relationship": [relationship],
-                                               "race": [race],
                                                "sex": [sex],
-                                               "hours.per.week": [hours_per_week],
-                                               "native.country": [native_country]}))
-            # Show prediction
+                                               "bmi": [bmi],
+                                               "children": [children],
+                                               "smoker": [smoker],
+                                               "region": [region]}))
+            st.success("You predict medical expenses is" +result)
+if __name__ == "__main__":
+    main()            
 
 # Run main()