flask_api

# -*- "coding: utf-8" -*-
from flask import Flask
import pickle
import jieba
import numpy as np
import logging
from keras.models import load_model

logging.basicConfig(level=logging.INFO)

app = Flask(__name__)
@app.route('/ask/<username>')
def prediction(username):
    print(username)
    inAI = str(username)
    descriptions = [inAI]
    print('descriptions:', descriptions)

    results = tool.predict_label(descriptions)[0]
    print('results:', results)
    # username = str(username) + '56446'
    # de = str(descriptions)
    return str(results)

if __name__ == '__main__':
    tool = MultiLabelClassification()

    app.run(host='0.0.0.0', port=5555)