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app.py
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app.py
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# We import the necessary modules.
from flask import Flask, render_template, request
import pickle
import numpy as np
import math
app = Flask(__name__)
# We open the model saved in the 'model' folder
model = pickle.load(open('model/model.pickle', 'rb'))
# We define our homepage
@app.route('/')
def home():
return render_template('home.html')
# We define our predict page
@app.route('/predict', methods=['GET','POST'])
def form():
return render_template('form.html')
# We define our result page and predict function.
@app.route('/result', methods=['GET','POST'])
def predict():
# We create variables from the input given in our form.
bedrooms = request.form.get("Rooms", type=int)
liv_area = request.form.get("Living Area", type=int)
surface_area = request.form.get("Surface Land Area", type=int)
subtype = request.form.get("Type")
# Since we have multiple subtypes that have changed to dummies, we manually
# add 0 and 1 depending on the input.
house = 0
villa = 0
farmhouse = 0
mansion = 0
mixed_use = 0
if subtype == "House":
house = 1
elif subtype == "Villa":
villa = 1
elif subtype == "Farmhouse":
farmhouse = 1
elif subtype == "Mansion":
mansion = 1
elif subtype == "Mixed_use":
mixed_use = 1
kitchen = request.form.get("Kitchen Equipped?")
if kitchen == "Yes":
kitchen = 1
else:
kitchen = 0
fireplace = request.form.get("Open fireplace")
if fireplace == "Yes":
fireplace = 1
else:
fireplace = 0
terrace = request.form.get("Terrace")
if terrace == "Yes":
terrace = 1
else:
terrace = 0
garden = request.form.get("Garden")
if garden == "Yes":
garden = 1
else:
garden = 0
pool = request.form.get("Pool")
if pool== "Yes":
pool = 1
else:
pool = 0
condition = request.form.get("Condition")
if condition == "To be renovated":
condition = 1
else:
condition = 0
# We sort all the variables in an list, loop over them and put them into an array
request_values = [bedrooms,liv_area,surface_area,farmhouse, house, mansion, mixed_use, villa, kitchen,fireplace,terrace,garden,pool,condition]
int_features = [int(x) for x in request_values]
final_features = [np.array(int_features)]
# We then apply the model to our features.
prediction = model.predict(final_features)
# Round the output to 1000s and return the result to our result page.
output = int(math.ceil(prediction / 1000)) *1000
entry = output
return render_template('result.html', entry=entry)
if __name__ == '__main__':
app.run(debug=True)