Upload app.py

app.py

@@ -0,0 +1,65 @@
+import joblib
+import pandas as pd
+
+
+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 = #
+    
+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"]
+
+def main():
+    st.title("Adult Income")
+
+    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
+
+        # 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],
+                                               "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()