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app.py
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app.py
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from flask import Flask, render_template, request
import pickle
import numpy as np
import tensorflow
from tensorflow.keras.callbacks import LearningRateScheduler
from tensorflow import keras
from tensorflow.keras.models import load_model
import re
model = keras.models.load_model("mortgage_megalodons_model.h5")
app = Flask(__name__)
@app.route('/prediction')
def prediction():
return render_template('prediction.html')
@app.route('/dashboard', methods=['POST'])
def dashboard():
# state validation
if request.form['state'] == 'AK':
data1=0
elif request.form['state'] == 'AL':
data1=1
elif request.form['state'] == 'AR':
data1=2
elif request.form['state'] == 'AZ':
data1=3
elif request.form['state'] == 'CA':
data1=4
elif request.form['state'] == 'CO':
data1=5
elif request.form['state'] == 'CT':
data1=6
elif request.form['state'] == 'DC':
data1=7
elif request.form['state'] == 'DE':
data1=8
elif request.form['state'] == 'FL':
data1=9
elif request.form['state'] == 'GA':
data1=10
elif request.form['state'] == 'GU':
data1=11
elif request.form['state'] == 'HI':
data1=12
elif request.form['state'] == 'IA':
data1=13
elif request.form['state'] == 'ID':
data1=14
elif request.form['state'] == 'IL':
data1=15
elif request.form['state'] == 'IN':
data1=16
elif request.form['state'] == 'KS':
data1=17
elif request.form['state'] == 'KY':
data1=18
elif request.form['state'] == 'LA':
data1=19
elif request.form['state'] == 'MA':
data1=20
elif request.form['state'] == 'MD':
data1=21
elif request.form['state'] == 'ME':
data1=22
elif request.form['state'] == 'MI':
data1=23
elif request.form['state'] == 'MN':
data1=24
elif request.form['state'] == 'MO':
data1=25
elif request.form['state'] == 'MS':
data1=26
elif request.form['state'] == 'MT':
data1=27
elif request.form['state'] == 'NC':
data1=28
elif request.form['state'] == 'ND':
data1=29
elif request.form['state'] == 'NE':
data1=30
elif request.form['state'] == 'NH':
data1=31
elif request.form['state'] == 'NJ':
data1=32
elif request.form['state'] == 'NM':
data1=33
elif request.form['state'] == 'NV':
data1=34
elif request.form['state'] == 'NY':
data1=35
elif request.form['state'] == 'OH':
data1=36
elif request.form['state'] == 'OK':
data1=37
elif request.form['state'] == 'OR':
data1=38
elif request.form['state'] == 'PA':
data1=39
elif request.form['state'] == 'PR':
data1=40
elif request.form['state'] == 'RI':
data1=41
elif request.form['state'] == 'SC':
data1=42
elif request.form['state'] == 'SD':
data1=43
elif request.form['state'] == 'TN':
data1=44
elif request.form['state'] == 'TX':
data1=45
elif request.form['state'] == 'UT':
data1=46
elif request.form['state'] == 'VA':
data1=47
elif request.form['state'] == 'VI':
data1=48
elif request.form['state'] == 'VT':
data1=49
elif request.form['state'] == 'WA':
data1=50
elif request.form['state'] == 'WI':
data1=51
elif request.form['state'] == 'WV':
data1=52
else:
data1=53
#data 2 through 4
data2 = request.form['loan']
data3 = request.form['value']
data4 = request.form['income']
# dwelling validation
if request.form['dwelling'] == 'Single Family (1-4 Units):Site-Built':
data5=1
else:
data5=0
# occupancy validation
if request.form['occupancy'] == 'Principal residence':
data6=1
elif request.form['occupancy'] == 'Second residence':
data6=2
else:
data6=3
# preapproval validation
if request.form['preapproval'] == 'Preapproval not requested':
data7=2
else:
data7=1
# loan-type validation
if request.form['laon-type'] == 'Conventional (not insured or guaranteed by FHA, VA, RHS, or FSA)':
data8=1
elif request.form['laon-type'] == 'Federal Housing Administration insured (FHA)':
data8=2
elif request.form['laon-type'] == 'Veterans Affairs guaranteed (VA)':
data8=3
else:
data8=4
# purpose validation
if request.form['loan-purpose'] == 'Home purchase':
data9=1
else:
data9=31
# lien validation
if request.form['lien'] == 'Secured by a first lien':
data10=1
else:
data10=2
# credit type validation
if request.form['credit-type'] == 'Not an open-end line of credit':
data11=2
else:
data11=1
# # amortization validation
# if request.form['amort'] == 'No negative amortization':
# data12=2
# else:
# data12=1
# # other amortization features validation
# if request.form['amort-features'] == 'No other non-fully amortizing features':
# data13=2
# else:
# data13=1
# interest payment validation
if request.form['interest'] == 'No interest-only payments':
data14=2
else:
data14=1
# balloon validation
if request.form['balloon'] == 'No balloon payment':
data15=2
else:
data15=1
# construction validation
if request.form['construction'] == 'Site-built':
data16=1
else:
data16=2
# manufacturing validation
if request.form['manufacturing'] == 'Not applicable':
data17=3
elif request.form['manufacturing'] == 'Manufactured home and land':
data17=1
else:
data17=2
# credit score type validation
if request.form['credit-score-type'] == 'Equifax Beacon 5.0':
data18=1
elif request.form['credit-score-type'] == 'Experian Fair Isaac':
data18=2
elif request.form['credit-score-type'] == 'FICO Risk Score Classic 04':
data18=3
elif request.form['credit-score-type'] == 'Not applicable':
data18=9
elif request.form['credit-score-type'] == 'VantageScore 3.0':
data18=6
elif request.form['credit-score-type'] == 'Other credit scoring model':
data18=8
elif request.form['credit-score-type'] == 'More than one credit scoring model':
data18=7
elif request.form['credit-score-type'] == 'FICO Risk Score Classic 98':
data18=4
else:
data18=5
# cocredit score type validation
if request.form['co-credit-score-type'] == 'Equifax Beacon 5.0':
data19=1
elif request.form['co-credit-score-type'] == 'Experian Fair Isaac':
data19=2
elif request.form['co-credit-score-type'] == 'FICO Risk Score Classic 04':
data19=3
elif request.form['co-credit-score-type'] == 'Not applicable':
data19=9
elif request.form['co-credit-score-type'] == 'VantageScore 3.0':
data19=6
elif request.form['co-credit-score-type'] == 'Other credit scoring model':
data19=8
elif request.form['co-credit-score-type'] == 'More than one credit scoring model':
data19=7
elif request.form['co-credit-score-type'] == 'FICO Risk Score Classic 98':
data19=4
elif request.form['co-credit-score-type'] == 'No co-applicant':
data19=10
else:
data19=5
# debt-to-income validation
if request.form['input-debtratio'] == '36%-49%':
data20=2
elif request.form['input-debtratio'] == '30%-35%':
data20=1
elif request.form['input-debtratio'] == '20%-29%':
data20=0
elif request.form['input-debtratio'] == '50%-60%':
data20=3
elif request.form['input-debtratio'] == '<20%':
data20=4
else:
data20=5
# age validation
if request.form['age'] == '45-54':
data21=2
elif request.form['age'] == '25-34':
data21=0
elif request.form['age'] == '35-44':
data21=1
elif request.form['age'] == '65-74':
data21=4
elif request.form['age'] == '55-64':
data21=3
elif request.form['age'] == '>74':
data21=6
else:
data21=5
# coage validation
if request.form['coage'] == '45-54':
data22=2
elif request.form['coage'] == '25-34':
data22=0
elif request.form['coage'] == '35-44':
data22=1
elif request.form['coage'] == '65-74':
data22=4
elif request.form['coage'] == '55-64':
data22=3
elif request.form['coage'] == '>74':
data22=6
else:
data22=5
# race validation
if request.form['race'] == 'White':
data23=5
elif request.form['race'] == 'American Indian or Alaska Native':
data23=1
elif request.form['race'] == 'Black or African American':
data23=3
elif request.form['race'] == 'Asian':
data23=2
elif request.form['race'] == 'Information not provided by applicant in mail, internet, or telephone application':
data23=6
elif request.form['race'] == 'Vietnamese':
data23=26
elif request.form['race'] == 'Native Hawaiian or Other Pacific Islander':
data23=4
elif request.form['race'] == 'Other Asian':
data23=27
elif request.form['race'] == 'Filipino':
data23=23
elif request.form['race'] == 'Asian Indian':
data23=21
elif request.form['race'] == 'Other Pacific Islander':
data23=44
elif request.form['race'] == 'Native Hawaiian':
data23=41
elif request.form['race'] == 'Korean':
data23=25
elif request.form['race'] == 'Samoan':
data23=43
elif request.form['race'] == 'Chinese':
data23=22
elif request.form['race'] == 'Japanese':
data23=24
elif request.form['race'] == 'Not applicable':
data23=7
else:
data23=42
# corace validation
if request.form['corace'] == 'White':
data24=5
elif request.form['corace'] == 'American Indian or Alaska Native':
data24=1
elif request.form['corace'] == 'Black or African American':
data24=3
elif request.form['corace'] == 'Asian':
data24=2
elif request.form['corace'] == 'Information not provided by applicant in mail, internet, or telephone application':
data24=6
elif request.form['corace'] == 'Vietnamese':
data24=26
elif request.form['corace'] == 'Native Hawaiian or Other Pacific Islander':
data24=4
elif request.form['corace'] == 'Other Asian':
data24=27
elif request.form['corace'] == 'Filipino':
data24=23
elif request.form['corace'] == 'Asian Indian':
data24=21
elif request.form['corace'] == 'Other Pacific Islander':
data24=44
elif request.form['corace'] == 'Native Hawaiian':
data24=41
elif request.form['corace'] == 'Korean':
data24=25
elif request.form['corace'] == 'Samoan':
data24=43
elif request.form['corace'] == 'Chinese':
data24=22
elif request.form['corace'] == 'Japanese':
data24=24
elif request.form['corace'] == 'Not applicable':
data24=7
else:
data24=42
# race observed validation
if request.form['race-observed'] == 'Not collected on the basis of visual observation or surname':
data25=2
elif request.form['race-observed'] == 'Collected on the basis of visual observation or surname':
data25=1
else:
data25=3
# corace observed validation
if request.form['corace-observed'] == 'Not collected on the basis of visual observation or surname':
data26=2
elif request.form['corace-observed'] == 'Collected on the basis of visual observation or surname':
data26=1
elif request.form['corace-observed'] == 'No co-applicant':
data26=4
else:
data26=3
# ethnicity validation
if request.form['ethnicity'] == 'Not Hispanic or Latino':
data27=2
elif request.form['ethnicity'] == 'Hispanic or Latino':
data27=1
elif request.form['ethnicity'] == 'Information not provided by applicant in mail, internet, or telephone application':
data27=3
elif request.form['ethnicity'] == 'Mexican':
data27=11
elif request.form['ethnicity'] == 'Other Hispanic or Latino':
data27=14
elif request.form['ethnicity'] == 'Cuban':
data27=13
elif request.form['ethnicity'] == 'Puerto Rican':
data27=12
else:
data27=4
# coethnicity validation
if request.form['coethnicity'] == 'Not Hispanic or Latino':
data28=2
elif request.form['coethnicity'] == 'Hispanic or Latino':
data28=1
elif request.form['coethnicity'] == 'Information not provided by applicant in mail, internet, or telephone application':
data28=3
elif request.form['coethnicity'] == 'Mexican':
data28=11
elif request.form['coethnicity'] == 'Other Hispanic or Latino':
data28=14
elif request.form['coethnicity'] == 'Cuban':
data28=13
elif request.form['coethnicity'] == 'Puerto Rican':
data28=12
elif request.form['coethnicity'] == 'No co-applicant':
data28=5
else:
data28=4
# ethnicity observed validation
if request.form['ethnicity-observed'] == 'Not collected on the basis of visual observation or surname':
data29=2
elif request.form['ethnicity-observed'] == 'Collected on the basis of visual observation or surname':
data29=1
else:
data29=3
# coethnicity observed validation
if request.form['coethnicity-observed'] == 'Not collected on the basis of visual observation or surname':
data30=2
elif request.form['coethnicity-observed'] == 'Collected on the basis of visual observation or surname':
data30=1
elif request.form['coethnicity-observed'] == 'No co-applicant':
data30=4
else:
data30=3
# sex validation
if request.form['sex'] == 'Male':
data31=1
elif request.form['sex'] == 'Female':
data31=2
elif request.form['sex'] == 'Information not provided by applicant in mail, internet, or telephone application':
data31=3
elif request.form['sex'] == 'Applicant selected both male and female':
data31=6
else:
data31=4
# cosex validation
if request.form['cosex'] == 'Male':
data32=1
elif request.form['cosex'] == 'Female':
data32=2
elif request.form['cosex'] == 'Information not provided by applicant in mail, internet, or telephone application':
data32=3
elif request.form['cosex'] == 'Applicant selected both male and female':
data32=6
elif request.form['cosex'] == 'No co-applicant':
data32=5
else:
data32=4
# sex-observed observed validation
if request.form['sex-observed'] == 'Not collected on the basis of visual observation or surname':
data33=2
elif request.form['sex-observed'] == 'Collected on the basis of visual observation or surname':
data33=1
else:
data33=3
# cosex-observed observed validation
if request.form['cosex-observed'] == 'Not collected on the basis of visual observation or surname':
data34=2
elif request.form['cosex-observed'] == 'Collected on the basis of visual observation or surname':
data34=1
elif request.form['cosex-observed'] == 'No co-applicant':
data34=4
else:
data34=3
# aus observed validation
if request.form['aus'] == 'Not applicable':
data35=6
elif request.form['aus'] == 'Desktop Underwriter (DU)':
data35=1
elif request.form['cosex-observed'] == 'Loan Prospector (LP) or Loan Product Advisor':
data35=2
elif request.form['aus'] == 'Guaranteed Underwriting System (GUS)':
data35=4
elif request.form['cosex-observed'] == 'Technology Open to Approved Lenders (TOTAL) Scorecard':
data35=3
else:
data35=5
# conforming observed validation
if request.form['conforming'] == 'C':
data36=0
else:
data36=1
#data 37 thru 44
data37 = request.form['county']
data38 = request.form['census']
data39 = request.form['tract_minority']
data40 = request.form['median_fam_income']
data41 = request.form['msa_income']
data42 = request.form['one_to_four']
data43 = request.form['age_housing']
data44 = request.form['term']
# manufacturing interest
if request.form['manufacturing-interest'] == 'Direct ownership':
data45=1
elif request.form['manufacturing-interest'] == 'Indirect ownership':
data45=2
elif request.form['manufacturing-interest'] == 'Paid leasehold':
data45=3
elif request.form['manufacturing-interest'] == 'Unpaid leasehold':
data45=4
else:
data45=5
#modeling
arr = np.array([[data1, data2, data3, data4, data5, data6, data7, data8, data9, data10,data11, data14, data15, data16, data17, data18, data19, data20,data21, data22, data23, data24, data25, data26, data27, data28, data29, data30, data31, data32, data33, data34, data35, data36, data37, data38, data39, data40,data41, data42, data43, data44, data45]], dtype=np.float32)
pred = model.predict(arr)
#predictions prints out the numpy array
classes_x = np.argmax(pred,axis=1)
#outputs array([1]) which matches the action_taken for that row
return render_template('dashboard.html', data=classes_x)
@app.route("/")
@app.route("/home")
def home():
return render_template('home.html', title='Home Page')
@app.route("/about")
def about():
return render_template('about.html', title='About')
@app.route("/process")
def process():
return render_template('process.html', title='Our Model')
if __name__ == "__main__":
app.run(debug=True)