pages/1_🔥_模型生成代码.py

from meutils.pipe import *
from appzoo.streamlit_app import Page

import streamlit as st

import m2cgen as m2c


class MyPage(Page):

    def main(self):
        with st.form("Coding"):
            file = st.file_uploader('上传默模型文件')
            if file:
                estimator = joblib.load(file)
            else:
                estimator = joblib.load(get_resolve_path('../data/lr.pkl', __file__))

            languages = [
                'python',
                'java',
                'go',
                'c',
                'c_sharp',
                'r',
                'dart',
                'elixir',
                'f_sharp',
                'haskell',
                'javascript',
                'php',
                'powershell',
                'ruby',
                'rust',
                'visual_basi'
            ]

            _ = st.selectbox('选择输出语言', languages)

            if st.form_submit_button('开始转换'):
                code = m2c.__getattribute__(f'export_to_{_}')(estimator)

                st.markdown("##### code:")
                st.code(code)



if __name__ == '__main__':
    app_title = "ModelToCode"
    app_info = """
    将训练过的统计模型转化为本地代码(`Python, C, Java, Go, JavaScript, Visual Basic, c#， PowerShell, R, PHP, Dart, Haskell, Ruby, f#， Rust, Elixir`)。
    """
    MyPage(
        app_title=f"# {app_title}",
        app_info=f"> {app_info}",
        sidebar_title=None,
    ).main()