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app.py
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app.py
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from flask import Flask, request, jsonify, render_template
import pickle
import numpy as np
app = Flask(__name__)
model = pickle.load(open("model.pkl", "rb"))
@app.route("/")
def home():
return render_template("index.html")
@app.route("/predict",methods=["POST"])
def predict():
int_features = [int(x) for x in request.form.values()]
final_features = [np.array(int_features)]
prediction = model.predict(final_features)
output = round(prediction[0], 2)
return render_template("index.html", prediction_text= "PROBABILITY THAT YOUR LOAN WILL BE APPROVED IS ; {}".format(output))
@app.route('/results',methods=['POST'])
def results():
data = request.get_json(force=True)
prediction = model.predict([np.array(list(data.values()))])
output = prediction[0]
return jsonify(output)
if __name__ == "__main__":
app.run(debug=True)