| from flask import Flask, request, redirect, url_for, flash, jsonify | |
| import numpy as np | |
| import pickle as p | |
| import json | |
| app = Flask(__name__) | |
| def home(): | |
| return "<h1>Lyrics Classifier</h1>" | |
| def makecalc(): | |
| data = request.get_json(force=True) | |
| prediction = np.array2string(model.predict(data['lyric'])) | |
| print(prediction) | |
| return jsonify(prediction) | |
| if __name__ == '__main__': | |
| modelfile = 'model.pickle' | |
| model = p.load(open(modelfile, 'rb')) | |