Update app.py

app.py

@@ -1,65 +1,67 @@
 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
+EDU_DICT = {'some high school': 1,
+            'some college': 2,
+            'high school': 3,
+            "associate's degree": 4,
+            "bachelor's degree": 5,
+            "master's degree": 6
             }
 
-model = #
-unique_values = #
+race = {'group A': 0,
+        'group B': 1,
+        'group C': 2,
+        'group D': 3,
+        'group E': 4
+       }
+
+model = joblib.load('modelN.joblib')
+unique_values = joblib.load('unique_valuesN.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_gender =  unique_values["gender"]
+unique_lunch =  unique_values["lunch"]
+unique_test_preparation_course =  unique_values["test preparation course"]
+unique_education =  unique_values["parental level of education"]
+
 
 def main():
-    st.title("Adult Income")
+    st.title("Race Prediction")
 
     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
+        gender = st.selectbox("gender", options = unique_gender)
+        lunch = st.selectbox("lunch", options = unique_lunch)
+        test = st.selectbox("test preparation course", options = unique_test_preparation_course)
+        education = st.selectbox("parental level of education", options = unique_education)
+        math_score = st.slider("math score", min_value = 1, max_value = 100)
+        reading_score = st.slider("reading score", min_value = 1, max_value = 100)
+        writing_score = st.slider("writing score", min_value = 1, max_value = 100)
 
+                
         # clicked==True only when the button is clicked
         clicked = st.form_submit_button("Predict income")
         if clicked:
-            result=model.predict(pd.DataFrame({"age": [age],
-                                               "workclass": [workclass],
+            result=model.predict(pd.DataFrame({"gender": [gender],
+                                               "lunch": [lunch],
                                                "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
-
-# Run main()
+                                               "math score": [math_score],
+                                               "reading score": [reading_score],
+                                               "writing score": [writing_score]}))
+                                             
+            if result[0] == 0:
+                result = 'group A'
+            elif result[0] == 1:
+                result = 'group B'
+            elif result[0] == 2:
+                result = 'group C'
+            elif result[0] == 3:
+                result = 'group D'
+            elif result[0] == 4:
+                result = 'group E'
+            else:
+                'ERROR'
+            st.success("Race Prediction is"+result)
+            
+if __name__ == "__main__":
+    main()