easy-ml/app.py

# -*- coding: utf-8 -*-
"""
@author: yq
@time: 2024/12/4
@desc: 
"""

import gradio as gr

from webui import f_project_is_exist, f_data_upload, engine

input_elems = set()
elem_dict = {}

with gr.Blocks() as demo:
    gr.HTML('<h1 ><center><font size="5">Easy-ML</font></center></h1>')
    gr.HTML('<h2 ><center><font size="2">快速建模工具</font></center></h2>')
    with gr.Tabs():
        with gr.TabItem("数据"):
            with gr.Row():
                project_name = gr.Textbox(label="项目名称", placeholder="请输入不重复的项目名称",
                                          info="项目名称将会被作为缓存目录名称，如果重复会导致结果被覆盖")
            with gr.Row():
                file_data = gr.File(label="建模数据")
            with gr.Row():
                data_upload = gr.Dataframe(visible=False, label="当前上传数据", max_height=300)
            with gr.Row():
                data_insight = gr.Dataframe(visible=False, label="数据探查", max_height=600, wrap=True)

        with gr.TabItem("训练"):
            with gr.Row():
                with gr.Column():
                    model_type = gr.Dropdown(["lr"], value="lr", label="模型")
                    search_strategy = gr.Dropdown(["iv"], value="iv", label="特征搜索策略")
                    y_column = gr.Textbox(label="Y标签")
                    x_columns = gr.Textbox(label="X特征")
                    gr.Slider(0.05, 1, value=0.1, label="分箱组合采样率", step=0.01),
                    train_button = gr.Button("开始训练", variant="primary")
                with gr.Column():
                    gr.Textbox(value="输出")

        input_elems.update({project_name, file_data, data_upload, model_type, search_strategy})
        elem_dict.update(dict(
            project_name=project_name,
            file_data=file_data,
            data_upload=data_upload,
            model_type=model_type,
            search_strategy=search_strategy
        ))
        engine.add_elems(elem_dict)

        project_name.change(fn=f_project_is_exist, inputs=input_elems)
        file_data.upload(fn=f_data_upload, inputs=input_elems, outputs=[data_upload, data_insight])

    demo.launch(share=True)

if __name__ == "__main__":
    pass