flask_ip

app.py

from flask import Flask, jsonify
import requests

app = Flask(__name__)

@app.route('/')
def index():
    
    local_ip = requests.get('https://checkip.amazonaws.com').text.strip()
    return jsonify({
        'ip': local_ip
    })

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=10086, debug=True)

flask_ml.py

from flask import Flask, request, jsonify
import joblib

app = Flask(__name__)

# 加载预先训练好的模型
model = joblib.load('path_to_your_model.pkl')

@app.route('/predict', methods=['POST'])
def predict():
    # 获取请求的数据
    data = request.get_json(force=True)
    # 模型预测
    prediction = model.predict([data['features']])
    # 将预测结果转换为JSON格式并返回
    return jsonify(prediction=prediction[0])

if __name__ == '__main__':
    app.run(port=5000, debug=True)