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app.py
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app.py
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from flask import Flask, render_template, request, jsonify
import pickle
import numpy as np
import test
import preds_mapping
app = Flask(__name__)
model = pickle.load(open('.\mlpmodel.pkl', 'rb'))
def getPredictedAttack():
if request.method == 'POST':
selected_date = request.form['date']
preds = test.test_preds(model, selected_date)
global prediction
prediction = preds_mapping.attack_category_mapping(preds)
return prediction
@app.route('/')
def index():
return render_template('index.html')
@app.route('/result',methods = ['POST', 'GET'])
def result():
preds_attack = getPredictedAttack()
return render_template("result.html", result = preds_attack)
@app.route('/entry', methods = ['POST'])
def home():
data = request.get_json()
numberOfFields = data.get("numberOfFields")
result = data.get("result")
result = prediction
data = {
"numberOfFields" : numberOfFields,
"result" : result
}
return jsonify(data)
@app.route('/info')
def info():
return 'Info'
if __name__ == '__main__':
app.run(debug = True)