app.py
Browse files
app.py
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from ssl import Options
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import joblib
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import pandas as pd
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import streamlit as st
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model = joblib.load('model (1).joblib')
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unique_values = joblib.load('unique_values (2).joblib')
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#unique_post_on = unique_values["Posted On"]
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unique_fea_1 = unique_values["fea_1"]
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#unique_fea_2 = unique_values["fea_2"]
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unique_fea_3 = unique_values["fea_3"]
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#unique_fea_4 = unique_values["fea_4"]
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unique_fea_5 = unique_values["fea_5"]
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unique_fea_6 = unique_values["fea_6"]
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unique_fea_7 = unique_values["fea_7"]
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#unique_fea_8 = unique_values["fea_8"]
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unique_fea_9 = unique_values["fea_9"]
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#unique_fea_10 = unique_values["fea_10"]
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#unique_fea_11 = unique_values["fea_11"]
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def main():
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st.title("Customer check risk")
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with st.form("questionaire"):
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fea1 = st.slider(min_value = 2, max_value=7 )
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fea3 = st.slider(min_value = 1, max_value=2 )
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fea5 = st.selectbox(options =unique_fea_5 )
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fea6 = st.slider(min_value=3, max_value = 15 )
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fea7 = st.slider(min_value=-1, max_value =10 )
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fea9 = st.selectbox(options =unique_fea_9 )
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# clicked==True only when the button is clicked
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clicked = st.form_submit_button("credit risk")
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if clicked:
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result=model.predict(pd.DataFrame({"fea1": [fea1],
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"fea3": [fea3],
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"fea5": [fea5],
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"fea6": [fea6],
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"fea7": [fea7],
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"fea9": [fea9]
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}))
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# Show prediction
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if result==1:
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result='the customer is in high credit risk'
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else :
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result='the customer is in low credit risk'
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st.success('Your risk is '+result)
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# Run main()
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if __name__=='__main__':
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main()
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