/
loan_web_app.py
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/
loan_web_app.py
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# -*- coding: utf-8 -*-
"""
Created on Sun Apr 25 19:47:54 2021
@author: sagnik1511
"""
# Libraries
import streamlit as st
import pandas as pd
import base64
from PIL import Image
from sklearn.ensemble import RandomForestClassifier as rfc
#-------------------------------------------------------
# Data elements for test value preparation
#-------------------------------------------------------
def value(lst,string):
for i in range(len(lst)):
if lst[i]==string:
return i
jobs=['admin','blue-collar','entrepreneur','housemaid','managerial','retired','self-employed','services','student','technician','unemployed','others']
marital_status=['divorced','married','single']
education=['10th standard or lower','12th standard','graduate','postgraduate or higher']
yn=['NO','YES']
commn=['Cellular','Telephone','Others']
mon=['January','February','March','April','May','June','July','August','September','October','November','December']
outcome=['Failure','Other','Success','Unknown']
#---------------------------------------------------------
# Body Interface
#---------------------------------------------------------
main_bg = "assets/images/bg.jpg"
main_bg_ext = "jpg"
side_bg = "assets/images/bg.jpg"
side_bg_ext = "jpg"
image=Image.open('assets/images/head.jpg')
st.sidebar.image(image)
st.markdown("<h1 style='text-align: center; color:#7a000d;'>LOAN-WEB</h1>", unsafe_allow_html=True)
st.markdown("<h2 style='text-align: center; color:#7a000d;'>Customer Filtering Engine for Loan Marketing</h2>",unsafe_allow_html=True)
st.markdown("<h3 style='text-align: center; color:#7a000d;'>Find out your perfect customer.</h3>",unsafe_allow_html=True)
st.markdown(
f"""
<style>
.reportview-container {{
background: url(data:image/{main_bg_ext};base64,{base64.b64encode(open(main_bg, "rb").read()).decode()})
}}
.sidebar .sidebar-content {{
background: url(data:image/{side_bg_ext};base64,{base64.b64encode(open(side_bg, "rb").read()).decode()})
}}
</style>
""",
unsafe_allow_html=True
)
#------------------------------------------------------------
# Sidebar Interface
#------------------------------------------------------------
st.sidebar.markdown("""
---
Update your customer data here.
Submit to see results!!
""")
age= st.sidebar.slider("⦿ Age ( Customer's age in Years)",5,100)
job = st.sidebar.selectbox("⦿ Present Job : Customer's present Job",('admin','blue-collar','entrepreneur','housemaid','managerial','retired','self-employed','services','student','technician','unemployed','others'))
marriage = st.sidebar.selectbox("⦿ Marital Status of the user : ",('divorced','married','single'))
edu = st.sidebar.selectbox("⦿ Educational background : ",('10th standard or lower','12th standard','graduate','postgraduate or higher'))
defa = st.sidebar.selectbox('⦿ User possess Credit Card/Cards',('NO','YES'))
bal = st.sidebar.slider("⦿ Average yearly Balance (Lacks per annum) Negative values for debt ",-0.75,100.0)
housing=st.sidebar.selectbox('⦿ Has any housing Loan',('NO','YES'))
loan=st.sidebar.selectbox('⦿ Has any other Loan',('NO',"YES"))
comm=st.sidebar.selectbox('⦿ Contact Medium : ',('Cellular','Telephone','Others'))
day=st.sidebar.slider('⦿ Last Contact day of the month (If no contact till now leave this as it is)',1,30)
month=st.sidebar.selectbox('⦿ Last Contact month (If no contact till now leave this as it is)' ,('January','February','March','April','May','June','July','August','September','October','November','December'))
dur=st.sidebar.slider('⦿ Duration of last call (In minutes)IfNo contact then leave it as 0: ',0,120)
camp=st.sidebar.slider('⦿ Total Number of candidates will be called for this campaign',1,100)
pdays=st.sidebar.slider('⦿ Number of days that passed by after the client was last contacted from a previous campaign (set it -1 if it is the first approach)', int(-1),1095)
prev=st.sidebar.slider('⦿ Number of calls executed in this campaign',0,99)
out=st.sidebar.selectbox('⦿ Previous Campaign Outcome()If no previous campaign leave it as Unknown',('Failure','Success','Unknown','Other'))
#--------------------------------------------------------
# Main Function
#--------------------------------------------------------
if st.sidebar.button('SUBMIT'):
data ={
'age':age,
'job':value(jobs,job),
'marital':value(marital_status,marriage),
'education':value(education,edu),
'default':value(yn,defa),
'balance':(bal/90.17)*100000,
'housing':value(yn,housing),
'loan':value(yn,loan),
'contact':value(commn,comm),
'day':day,
'month':value(mon,month),
'duration':dur*60,
'campaign':camp,
'pdays':pdays,
'previous':prev,
'poutcome':value(outcome,out)
}
df=pd.DataFrame(data,index=[0])
st.markdown("<h1 style='text-align: center; color:#7a000d;'>Engine Running.Processing Results........</h1>", unsafe_allow_html=True)
data=pd.read_csv('assets/data/evaluation data/final_train.csv')
clf=rfc(random_state=1,n_estimators=95)
clf.fit(data.drop('y',1),data['y'])
prediction=clf.predict(df)
prob=clf.predict_proba(df)*100
prob=pd.DataFrame(prob,columns=['Rejection Possibility(in %)','Accepting Possibility(in %)'])
if int(prediction.reshape(1))==1:
image = Image.open('assets/images/pos.png')
st.image(image)
else:
image=Image.open('assets/images/neg.png')
st.image(image)
st.write(pd.DataFrame(prob),index=[0])
#--------------------------------------------------------------
# Footers
#--------------------------------------------------------------
footer="""<style>
a:link , a:visited{
color: blue;
background-color: transparent;
text-decoration: underline;
}
a:hover, a:active {
color:red;
background-color: transparent;
text-decoration: underline;
}
.footer {
position: fixed;
bottom: 0;
width:45%;
color: black;
text-align: center;
}
</style>
<div class="footer">
<p>Developed with ❤ by <a style='display: block; text-align: center;' href="http://happai.epizy.com" target="_blank">Sagnik Roy</a></p>
</div>
"""
st.markdown(footer,unsafe_allow_html=True)
st.sidebar.markdown("""Follow me on [Kaggle](https://kaggle.com/sagnik1511) , [Instagram](https://www.instagram.com/tensored___/) , [Github](https://github.com/sagnik1511)""")
#-----------------------------------------------------------------