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app.py
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app.py
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#importing required libraries
from flask import Flask, request
# import warnings
import pickle
# import joblib
# warnings.filterwarnings('ignore')
file = open("pickle/model.pkl","rb")
gbc = pickle.load(file)
file.close()
# gbc== joblib.load('joblib/gbc_model.joblib')
app = Flask(__name__)
@app.route("/", methods=["GET", "POST"])
def index():
if request.method == "POST":
import numpy as np
from feature import FeatureExtraction
url = request.form["url"]
obj = FeatureExtraction(url)
x = np.array(obj.getFeaturesList()).reshape(1,30)
# y_pred =gbc.predict(x)[0]
#1 is safe
#-1 is unsafe
# y_pro_phishing = gbc.predict_proba(x)[0,0]
y_pro_non_phishing = gbc.predict_proba(x)[0,1]
return ({
"url":url,
"prob_not_phishy":round(y_pro_non_phishing,4)
})
return ({
"url":"Hello Folks :)))"
})
@app.route("/add_data", methods=["POST"])
def add_data():
from db.save_data import save_data
url = request.form["url"]
label = request.form["label"]
print(url,label)
return save_data(url,label)
app.debug=True
if __name__ == "__main__":
app.run()