有没有办法用python tkinter部署我的ML模型？

import tkinter as tk
from sklearn.externals import joblib

# 加载训练好的模型
model = joblib.load('model.pkl')

def predict():
    # 获取用户输入的特征值
    feature1 = float(entry1.get())
    feature2 = float(entry2.get())

    # 使用模型进行预测
    prediction = model.predict([[feature1, feature2]])

    # 在界面上显示预测结果
    result_label.config(text="预测结果: " + str(prediction[0]))

# 创建窗口
window = tk.Tk()

# 创建输入框和按钮
entry1 = tk.Entry(window)
entry1.pack()
entry2 = tk.Entry(window)
entry2.pack()
button = tk.Button(window, text="预测", command=predict)
button.pack()

# 创建用于显示结果的标签
result_label = tk.Label(window)
result_label.pack()

# 运行窗口的主循环
window.mainloop()