app.py

import json

import gradio as gr
import pandas as pd
from llm import OpenAI3, OpenAI4
from mock_data import *

block_css = """
.importantButton {
    background: linear-gradient(45deg, #7e0570,#5d1c99, #6e00ff) !important;
    border: none !important;
}
.importantButton:hover {
    background: linear-gradient(45deg, #ff00e0,#8500ff, #6e00ff) !important;
    border: none !important;
}"""

webui_title = "📚📚📚📚📚📚📚📚📚📚📚📚* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *    ☘️ * * *学思案* * *    ☘️ * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *📚📚📚📚📚📚📚📚📚📚📚📚"

llm_name_dict = {'chatgpt-3.5': 'OpenAI3', 'chatgpt-4': 'OpenAI4', 'chatglm—6b': 'ChatGLM'}


def llm_change(name):
    llm = eval(eval('llm_name_dict[name]'))()
    return llm


def generate_comment_post_process(_summary):
    _summary = _summary.split('如下：')[-1]
    while _summary[0] == '\n':
        _summary = _summary[1:]
    return _summary


def show_config():
    return gr.update(visible=True)


def show_stand_file(stand_file_path, stand_file):
    df = pd.read_excel(stand_file_path)
    return gr.update(visible=True, value=df)


def hide_config():
    return gr.update(visible=False), gr.update(visible=False)


def clear_screen(chatbot):
    chatbot = [[None, None]]
    return chatbot


def generate_mock_data(_topic, _stand_file_path, _rewrite_prompt, _generate_num, _chatbot):

    try:

        scores_and_comments, stand_file = \
            generate_scores_and_comments(_stand_file_path, _rewrite_prompt, _topic, _generate_num)

        chat = ''
        for i in range(len(scores_and_comments)):
            chat = chat + 'Teacher' + str(i+1) + ':\n\n'
            for key, value in scores_and_comments[i]['scores'].items():
                chat = chat + key + ': ' + str(value) + '  - -  '
            chat = chat[:-5] + '\n\n'

            chat = chat + scores_and_comments[i]['comment'] + '\n\n'

        _chatbot = _chatbot + [[None, chat]]

        return _chatbot, scores_and_comments, stand_file, gr.update(visible=True), gr.update(visible=True)

    except Exception as e:
        message = '模拟测评生成失败，原因是：' + str(e) + '\n\n'
        _chatbot = _chatbot + [[None, message]]
        return _chatbot, dict(), pd.DataFrame(), gr.update(visible=False), \
               gr.update(visible=False)


def rewrite(standard_file, rewrite_prompt, topic, assessments, chatbot):
    try:
        rewrite_comment = medium_score_rewrite(standard_file, rewrite_prompt, topic, assessments)
        rewrite_comment = generate_comment_post_process(rewrite_comment)
        message = '上述评价按照中位法改写结果如下：\n\n' + rewrite_comment
    except Exception as e:
        message = '中位法改写失败，原因是：' + str(e) + '\n\n'
    chatbot = chatbot + [[None, message]]
    return chatbot


def summary(summary_prompt, assessments, chatbot):
    try:
        summary_comment = quantile_summary(summary_prompt, assessments)
        summary_comment = generate_comment_post_process(summary_comment)
        message = '上述评价按照四分位法摘要结果如下：\n\n' + summary_comment
    except Exception as e:
        message = '四分位法摘要生成失败，原因是：' + str(e) + '\n\n'
    chatbot = chatbot + [[None, message]]
    return chatbot


with gr.Blocks(css=block_css) as demo:
    gr.Markdown('\n\n\n\n')
    gr.Markdown(webui_title)
    gr.Markdown('\n\n\n\n')
    show_config_button = gr.Button('标准评价和prompt配置', visible=True)
    config = gr.Column(visible=False)
    show_config_button.click(show_config, outputs=[config])

    mock = gr.Column(visible=True)

    with config:
        # llm = gr.State('')
        # model_mode = gr.Radio(['chatgpt-3.5', "chatgpt-4", 'chatglm—6b'], label="请选择驱动模型")
        # model_name = gr.Radio(['chatgpt-3.5'], label="请选择驱动模型")
        # model_name.change(fn=llm_change, inputs=[model_name], outputs=[llm])
        stand_file_path = gr.Textbox('指标评价标准.xlsx', label='请输入评价标准文件路径')
        stand_comment = gr.DataFrame(visible=False)
        r_prompt = """The content within the angle brackets is an evaluation of the instructional design regarding the {topic} knowledge point. However, the evaluation does not incorporate the {topic} theme. Please modify the evaluation by incorporating the {topic} theme in each sentence while maintaining the same evaluative perspective and positive/negative nature. The modified evaluation should appear to be specifically targeted towards the {topic} theme.
        <{stand_comment}>
        """
        r_prompt = gr.Text(value=r_prompt, label='请配置改写prompt', lines=3)

        s_prompt = """尖括号里面的内容是多位老师对某堂课的教学评价，每位老师的评价用换行符进行了分隔，请对各位老师的评价进行摘要总结
        '<{comment}>'
         """
        s_prompt = gr.Text(value=s_prompt, label='请配置摘要prompt', lines=3)
        with gr.Row():
            with gr.Column(scale=2):
                set_config_button = gr.Button('确定', visible=True)
            with gr.Column(scale=2):
                show_stand_button = gr.Button('加载/更新标准评价', visible=True)
        set_config_button.click(hide_config, outputs=[stand_comment, config])
        show_stand_button.click(show_stand_file, inputs=[stand_file_path, stand_comment], outputs=stand_comment)

    with mock:
        with gr.Row():
            with gr.Column(scale=10):
                topic = gr.Textbox('升华和凝华', label='请输入讲课主题')

                # data_out_path = gr.Textbox('', label='请输入模拟数据导出路径')
                generate_num = gr.Slider(1, 20, value=3, step=1, label="评课人数量", interactive=True)
                mock_data = gr.Json(visible=False)

                with gr.Row():
                    with gr.Column(scale=2):
                        generate_button = gr.Button('生成模拟测评')
                    with gr.Column(scale=2):
                        clear_screen_button = gr.Button('清屏', visible=True)
                    with gr.Column(scale=2):
                        rewrite_button = gr.Button('中位值改写', visible=False)
                    with gr.Column(scale=2):
                        summary_button = gr.Button('四分位摘要', visible=False)

            with gr.Column(scale=10):

                chatbot = gr.Chatbot([[None, None]],
                                     elem_id="chat-box",
                                     show_label=False).style(height=1000)
                generate_button.click(generate_mock_data, inputs=[topic, stand_file_path, r_prompt, generate_num,
                            chatbot], outputs=[chatbot, mock_data, stand_comment, rewrite_button, summary_button])
                rewrite_button.click(rewrite, inputs=[stand_comment, r_prompt, topic, mock_data, chatbot],
                                     outputs=chatbot)
                summary_button.click(summary, inputs=[s_prompt, mock_data, chatbot],
                                     outputs=chatbot)
                clear_screen_button.click(clear_screen, inputs=[chatbot], outputs=chatbot)


# demo.queue(concurrency_count=5).launch(server_name='0.0.0.0', server_port=7858, share=True)

demo.queue(concurrency_count=5).launch()