app.py

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

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():
    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)


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