Delete app.py

app.py

@@ -1,68 +0,0 @@
-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")
-
-    with st.form("questionaire"):
-        age = st.slider("Age",min_value=10,max_values=100)
-        workclass = st.selectbox("Workclass",options = unique_class)
-        education = st.selectbox("Education",options = unique_education)
-        Marital_Status = st.selectbox("Marital Status",options = unique_marital_status)
-        occupation = st.selectbox("Occupation",options = unique_occupation)
-        relationship = st.selectbox("Relationship",options = unique_relationship)
-        race = st.selectbox("Race",options = unique_race)
-        sex = st.selectbox("Sex",options = unique_sex)
-        hours_per_week = st.slider("Hours per week",min_value=1,max_values=100)
-        native_country = st.selectbox("Native Country",options = unique_country)
-
-        # 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
-            result ='>50k' if result[0]==1 else '<=50k'
-            st.success("You pridicted income is" + result)
-
-if __name__ == "__main__" :
-    main()