Spaces:
Runtime error
Runtime error
File size: 2,238 Bytes
b353960 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
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()
|