app.py

# -*- coding:utf-8 -*-
import gradio as gr
import os
import logging
import sys
import argparse
from utils import *
from presets import *

logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s")

my_api_key = ""    # 在这里输入你的 API 密钥

#if we are running in Docker
if os.environ.get('dockerrun') == 'yes':
    dockerflag = True
else:
    dockerflag = False

authflag = False

if dockerflag:
    my_api_key = os.environ.get('my_api_key')
    if my_api_key == "empty":
        logging.error("Please give a api key!")
        sys.exit(1)
    #auth
    username = os.environ.get('USERNAME')
    password = os.environ.get('PASSWORD')
    if not (isinstance(username, type(None)) or isinstance(password, type(None))):
        authflag = True
else:
    if not my_api_key and os.path.exists("api_key.txt") and os.path.getsize("api_key.txt"):
        with open("api_key.txt", "r") as f:
            my_api_key = f.read().strip()
    if os.path.exists("auth.json"):
        with open("auth.json", "r") as f:
            auth = json.load(f)
            username = auth["username"]
            password = auth["password"]
            if username != "" and password != "":
                authflag = True

gr.Chatbot.postprocess = postprocess

with gr.Blocks(css=customCSS) as demo:
    history = gr.State([])
    token_count = gr.State([])
    promptTemplates = gr.State(load_template(get_template_names(plain=True)[0], mode=2))
    TRUECOMSTANT = gr.State(True)
    FALSECONSTANT = gr.State(False)
    topic = gr.State("未命名对话历史记录")

    with gr.Row():
        gr.HTML(title)
        status_display = gr.Markdown("status: ready", elem_id="status_display")

    with gr.Row(scale=1).style(equal_height=True):
        with gr.Column(scale=5):
            with gr.Row(scale=1):
                chatbot = gr.Chatbot().style(height=600)  # .style(color_map=("#1D51EE", "#585A5B"))
            with gr.Row(scale=1):
                with gr.Column(scale=12):
                    user_input = gr.Textbox(show_label=False, placeholder="在这里输入").style(
                        container=False)
                with gr.Column(min_width=50, scale=1):
                    submitBtn = gr.Button("🚀", variant="primary")
            with gr.Row(scale=1):
                emptyBtn = gr.Button("🧹 新的对话",)
                retryBtn = gr.Button("🔄 重新生成")
                delLastBtn = gr.Button("🗑️ 删除一条对话")
                reduceTokenBtn = gr.Button("♻️ 总结对话")

        with gr.Column():
            with gr.Column(min_width=50,scale=1):
                with gr.Tab(label="ChatGPT"):
                    keyTxt = gr.Textbox(show_label=True, placeholder=f"OpenAI API-key...",value=my_api_key, type="password", visible=not HIDE_MY_KEY, label="API-Key")
                    model_select_dropdown = gr.Dropdown(label="选择模型", choices=MODELS, multiselect=False, value=MODELS[0])
                    with gr.Accordion("参数", open=False):
                        top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.05,
                                        interactive=True, label="Top-p (nucleus sampling)",)
                        temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0,
                                                step=0.1, interactive=True, label="Temperature",)
                    use_streaming_checkbox = gr.Checkbox(label="实时传输回答", value=True, visible=enable_streaming_option)
                    use_websearch_checkbox = gr.Checkbox(label="使用在线搜索", value=False)

                with gr.Tab(label="Prompt"):
                    systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"在这里输入System Prompt...", label="System prompt", value=initial_prompt).style(container=True)
                    with gr.Accordion(label="加载Prompt模板", open=True):
                        with gr.Column():
                            with gr.Row():
                                with gr.Column(scale=6):
                                    templateFileSelectDropdown = gr.Dropdown(label="选择Prompt模板集合文件", choices=get_template_names(plain=True), multiselect=False, value=get_template_names(plain=True)[0])
                                with gr.Column(scale=1):
                                    templateRefreshBtn = gr.Button("🔄 刷新")
                            with gr.Row():
                                with gr.Column():
                                    templateSelectDropdown = gr.Dropdown(label="从Prompt模板中加载", choices=load_template(get_template_names(plain=True)[0], mode=1), multiselect=False, value=load_template(get_template_names(plain=True)[0], mode=1)[0])

                with gr.Tab(label="保存/加载"):
                    with gr.Accordion(label="保存/加载对话历史记录", open=True):
                        gr.Markdown("对话历史默认保存在history文件夹中。")
                        with gr.Column():
                            with gr.Row():
                                with gr.Column(scale=6):
                                    saveFileName = gr.Textbox(
                                        show_label=True, placeholder=f"设置文件名: 默认为.json，可选为.md", label="设置保存文件名", value="对话历史记录").style(container=True)
                                with gr.Column(scale=1):
                                    saveHistoryBtn = gr.Button("💾 保存对话")
                                    exportMarkdownBtn = gr.Button("📝 导出为Markdown")
                            with gr.Row():
                                with gr.Column(scale=6):
                                    historyFileSelectDropdown = gr.Dropdown(label="从列表中加载对话", choices=get_history_names(plain=True), multiselect=False, value=get_history_names(plain=True)[0])
                                with gr.Column(scale=1):
                                    historyRefreshBtn = gr.Button("🔄 刷新")
                            with gr.Row():
                                with gr.Column():
                                    downloadFile = gr.File(interactive=True)

    gr.Markdown(description)

    # Chatbot
    user_input.submit(predict, [keyTxt, systemPromptTxt, history, user_input, chatbot, token_count, top_p, temperature, use_streaming_checkbox, model_select_dropdown, use_websearch_checkbox], [chatbot, history, status_display, token_count], show_progress=True)
    user_input.submit(reset_textbox, [], [user_input])

    submitBtn.click(predict, [keyTxt, systemPromptTxt, history, user_input, chatbot, token_count, top_p, temperature, use_streaming_checkbox, model_select_dropdown, use_websearch_checkbox], [chatbot, history, status_display, token_count], show_progress=True)
    submitBtn.click(reset_textbox, [], [user_input])

    emptyBtn.click(reset_state, outputs=[chatbot, history, token_count, status_display], show_progress=True)

    retryBtn.click(retry, [keyTxt, systemPromptTxt, history, chatbot, token_count, top_p, temperature, use_streaming_checkbox, model_select_dropdown], [chatbot, history, status_display, token_count], show_progress=True)

    delLastBtn.click(delete_last_conversation, [chatbot, history, token_count], [
                     chatbot, history, token_count, status_display], show_progress=True)

    reduceTokenBtn.click(reduce_token_size, [keyTxt, systemPromptTxt, history, chatbot, token_count, top_p, temperature, use_streaming_checkbox, model_select_dropdown], [chatbot, history, status_display, token_count], show_progress=True)

    # Template
    templateRefreshBtn.click(get_template_names, None, [templateFileSelectDropdown])
    templateFileSelectDropdown.change(load_template, [templateFileSelectDropdown],  [promptTemplates, templateSelectDropdown], show_progress=True)
    templateSelectDropdown.change(get_template_content, [promptTemplates, templateSelectDropdown, systemPromptTxt],  [systemPromptTxt], show_progress=True)

    # S&L
    saveHistoryBtn.click(save_chat_history, [saveFileName, systemPromptTxt, history, chatbot], downloadFile, show_progress=True)
    saveHistoryBtn.click(get_history_names, None, [historyFileSelectDropdown])
    exportMarkdownBtn.click(export_markdown, [saveFileName, systemPromptTxt, history, chatbot], downloadFile, show_progress=True)
    historyRefreshBtn.click(get_history_names, None, [historyFileSelectDropdown])
    historyFileSelectDropdown.change(load_chat_history, [historyFileSelectDropdown, systemPromptTxt, history, chatbot],  [saveFileName, systemPromptTxt, history, chatbot], show_progress=True)
    downloadFile.change(load_chat_history, [downloadFile, systemPromptTxt, history, chatbot],  [saveFileName, systemPromptTxt, history, chatbot])


logging.info(colorama.Back.GREEN + "\n川虎的温馨提示：访问 http://localhost:7860 查看界面" + colorama.Style.RESET_ALL)
# 默认开启本地服务器，默认可以直接从IP访问，默认不创建公开分享链接
demo.title = "川虎ChatGPT 🚀"

if __name__ == "__main__":
    #if running in Docker
    if dockerflag:
        if authflag:
            demo.queue().launch(server_name="0.0.0.0", server_port=7860,auth=(username, password))
        else:
            demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False)
    #if not running in Docker
    else:
        if authflag:
            demo.queue().launch(share=False, auth=(username, password))
        else:
            demo.queue().launch(share=False) # 改为 share=True 可以创建公开分享链接
        #demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False) # 可自定义端口
        #demo.queue().launch(server_name="0.0.0.0", server_port=7860,auth=("在这里填写用户名", "在这里填写密码")) # 可设置用户名与密码
        #demo.queue().launch(auth=("在这里填写用户名", "在这里填写密码")) # 适合Nginx反向代理