from flask import Flask, jsonify, request, render_template
import numpy as np 
import joblib

app  = Flask(__name__)

try:
    model = joblib.load('random_forest_model.joblib')
    status = 'Loaded'
except:
    status= 'Not loaded'

@app.route('/', methods = ['GET'])
def health_check():
    return render_template('index.html')

@app.route('/predict', methods = ['POST'])
def predict():
    try:
        
        data = np.array([[float(request.form.get('input1', 0)),
            float(request.form.get('input2', 0)),
            float(request.form.get('input3', 0)),
            float(request.form.get('input4', 0)),
            float(request.form.get('input5', 0)),
            float(request.form.get('input6', 0)),
            float(request.form.get('input7', 0))]])

        prediction = model.predict(data).tolist()
        return render_template('output.html', prediction = prediction)
    except Exception as e:
        return jsonify({'data': e})


if __name__ == '__main__':
    app.run(host = '0.0.0.0', debug=True, port = 7860)