python
from flask import Flask, render_template
from eas_prediction import PredictClient
from eas_prediction import StringRequest
app = Flask('testapp')
@app.route('/')
def index():
#下面的client = PredictClient()入参源于公网调用的访问地址。
client = PredictClient('http://1875193938847529.cn-shanghai.pai-eas.aliyuncs.com','dequn_teng_fyp')
#Token可以在公网地址调用信息中获取，详情请参见通用公网调用部分。
client.set_token('OTMwNmEwNmFkYjM2Y2RlMjAzM2RkMzc3NWQ0Mzc2OGMxZTRiNzM3Zg==')
client.init()
#输入请求需要根据模型进行构造，此处仅以字符串作为输入输出的程序为例。
request = StringRequest('[{"item_buy_rate":0,"user_buy_rate":0}]')
for x in range(0, 1):
resp = client.predict(request)
return render_template('index.html', variable=resp)
if __name__ == '__main__':
app.run()
HTML
<html>
<body>
<p>Here is my variable: {{ variable }}</p>
</body>
</html>
