| 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 = 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"] |
|
|
| def main(): |
| st.title("Adult Income Analysis") |
|
|
| with st.form("questionaire"): |
| age = st.slider("Age", min_value=10, max_value=100) |
| workclass = st.selectbox("Workclass", unique_class) |
| education = st.selectbox("Education", unique_education) |
| Marital_Status = st.selectbox("Marital Status", unique_marital_status) |
| occupation = st.selectbox("Occupation", unique_occupation) |
| relationship = st.selectbox("Relationship", unique_relationship) |
| race = st.selectbox("Race", unique_race) |
| sex = st.selectbox("Sex", unique_sex) |
| hours_per_week = st.slider("Hours per week", min_value=1, max_value=100) |
| native_country = st.selectbox("Country", unique_country) |
|
|
| 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]})) |
| result = '>50K' if result[0] == 1 else '<=50K' |
| st.success('The predicted income is {}'.format(result)) |
|
|
| if __name__=='__main__': |
| main() |
|
|