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app.py
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app.py
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from flask import Flask,render_template,url_for,request,redirect
import pandas as pd
import glob
import os
import pickle
# load the model from disk
# here we load random forest model as it gave good results when compared
loaded_model=pickle.load(open('pickle-files/RandomForestRegressor.pkl', 'rb'))
app = Flask(__name__)
@app.route('/',methods = ['POST', 'GET'])
def home():
if request.method == 'POST':
year = request.form['value']
if len(year) == 0:
return render_template('home.html')
elif not year in ('2013', '2014', '2015', '2016', '2017', '2018', '2013-2018'):
return render_template('home.html', num = 'You did not enter the above year correctly')
else:
df=pd.read_csv('Data/Real-Data/real_{}.csv'.format(year))
my_prediction=loaded_model.predict(df.iloc[:,:-1].values)
my_prediction=my_prediction.tolist()
return render_template('home.html', prediction = my_prediction)
else:
return render_template('home.html')
if __name__ == '__main__':
app.run(debug=True)