tf_checkpoint_16.py

app = Flask(__name__)
cors = CORS(app)


@app.route("/api/predict", methods=['POST'])
def predict():
    start = time.time()

    data = request.data.decode("utf-8")
    if data == "":
        params = request.form
        x_in = json.loads(params['x'])
    else:
        params = json.loads(data)
        x_in = params['x']

    # normalize input data!
    x_in = np.array([[(x_in - 2013) / (2017 - 2013)]])

    # Tensorflow part
    y_out = session.run([y], feed_dict={x: x_in})

    # normalize output data!
    y_out = (float(y_out[0]) * (17500 - 12000)) + 12000

    json_data = json.dumps({'y': y_out})
    print("Time spent handling the request: %f" % (time.time() - start))

    return json_data