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ChuanhuChatbot.py
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ChuanhuChatbot.py
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# -*- coding:utf-8 -*-
import logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s",
)
from modules.models.models import get_model
from modules.train_func import *
from modules.repo import *
from modules.webui import *
from modules.overwrites import patch_gradio
from modules.presets import *
from modules.utils import *
from modules.config import *
from modules import config
import gradio as gr
import colorama
logging.getLogger("httpx").setLevel(logging.WARNING)
patch_gradio()
# with open("web_assets/css/ChuanhuChat.css", "r", encoding="utf-8") as f:
# ChuanhuChatCSS = f.read()
def create_new_model():
return get_model(model_name=MODELS[DEFAULT_MODEL], access_key=my_api_key)[0]
with gr.Blocks(theme=small_and_beautiful_theme) as demo:
user_name = gr.Textbox("", visible=False)
promptTemplates = gr.State(load_template(get_template_names()[0], mode=2))
user_question = gr.State("")
assert type(my_api_key) == str
user_api_key = gr.State(my_api_key)
current_model = gr.State()
topic = gr.State(i18n("未命名对话历史记录"))
with gr.Row(elem_id="chuanhu-header"):
gr.HTML(get_html("header_title.html").format(
app_title=CHUANHU_TITLE), elem_id="app-title")
status_display = gr.Markdown(get_geoip, elem_id="status-display")
with gr.Row(elem_id="float-display"):
user_info = gr.Markdown(
value="getting user info...", elem_id="user-info")
update_info = gr.HTML(get_html("update.html").format(
current_version=repo_tag_html(),
version_time=version_time(),
cancel_btn=i18n("取消"),
update_btn=i18n("更新"),
seenew_btn=i18n("详情"),
ok_btn=i18n("好"),
close_btn=i18n("关闭"),
reboot_btn=i18n("立即重启"),
), visible=check_update)
with gr.Row(equal_height=True, elem_id="chuanhu-body"):
with gr.Column(elem_id="menu-area"):
with gr.Column(elem_id="chuanhu-history"):
with gr.Group():
with gr.Row(elem_id="chuanhu-history-header"):
with gr.Row(elem_id="chuanhu-history-search-row"):
with gr.Column(min_width=150, scale=2):
historySearchTextbox = gr.Textbox(show_label=False, container=False, placeholder=i18n(
"搜索（支持正则）..."), lines=1, elem_id="history-search-tb")
with gr.Column(min_width=52, scale=1, elem_id="gr-history-header-btns"):
uploadHistoryBtn = gr.UploadButton(
interactive=True, label="", file_types=[".json"], elem_id="gr-history-upload-btn", type="binary")
historyRefreshBtn = gr.Button("", elem_id="gr-history-refresh-btn")
with gr.Row(elem_id="chuanhu-history-body"):
with gr.Column(scale=6, elem_id="history-select-wrap"):
historySelectList = gr.Radio(
label=i18n("从列表中加载对话"),
choices=get_history_names(),
value=get_first_history_name(),
# multiselect=False,
container=False,
elem_id="history-select-dropdown"
)
with gr.Row(visible=False):
with gr.Column(min_width=42, scale=1):
historyDeleteBtn = gr.Button(
"🗑️", elem_id="gr-history-delete-btn")
with gr.Row(visible=False):
with gr.Column(scale=6):
saveFileName = gr.Textbox(
show_label=True,
placeholder=i18n("设置文件名: 默认为.json，可选为.md"),
label=i18n("设置保存文件名"),
value=i18n("对话历史记录"),
elem_classes="no-container"
# container=False,
)
with gr.Column(scale=1):
renameHistoryBtn = gr.Button(
i18n("💾 保存对话"), elem_id="gr-history-save-btn")
downloadHistoryJSONBtn = gr.DownloadButton(
i18n("历史记录（JSON）"), elem_id="gr-history-download-json-btn")
downloadHistoryMarkdownBtn = gr.DownloadButton(
i18n("导出为 Markdown"), elem_id="gr-history-download-md-btn")
with gr.Column(elem_id="chuanhu-menu-footer"):
with gr.Row(elem_id="chuanhu-func-nav"):
gr.HTML(get_html("func_nav.html"))
# gr.HTML(get_html("footer.html").format(versions=versions_html()), elem_id="footer")
# gr.Markdown(CHUANHU_DESCRIPTION, elem_id="chuanhu-author")
with gr.Column(elem_id="chuanhu-area", scale=5):
with gr.Column(elem_id="chatbot-area"):
with gr.Row(elem_id="chatbot-header"):
model_select_dropdown = gr.Dropdown(
label=i18n("选择模型"), choices=MODELS, multiselect=False, value=MODELS[DEFAULT_MODEL], interactive=True,
show_label=False, container=False, elem_id="model-select-dropdown", filterable=False
)
lora_select_dropdown = gr.Dropdown(
label=i18n("选择模型"), choices=[], multiselect=False, interactive=True, visible=False,
container=False,
)
gr.HTML(get_html("chatbot_header_btn.html").format(
json_label=i18n("历史记录（JSON）"),
md_label=i18n("导出为 Markdown")
), elem_id="chatbot-header-btn-bar")
with gr.Row():
chatbot = gr.Chatbot(
label="Chuanhu Chat",
elem_id="chuanhu-chatbot",
latex_delimiters=latex_delimiters_set,
sanitize_html=False,
# height=700,
show_label=False,
avatar_images=[config.user_avatar, config.bot_avatar],
show_share_button=False,
placeholder=setPlaceholder(model_name=MODELS[DEFAULT_MODEL]),
)
with gr.Row(elem_id="chatbot-footer"):
with gr.Column(elem_id="chatbot-input-box"):
with gr.Row(elem_id="chatbot-input-row"):
gr.HTML(get_html("chatbot_more.html").format(
single_turn_label=i18n("单轮对话"),
websearch_label=i18n("在线搜索"),
upload_file_label=i18n("上传文件"),
uploaded_files_label=i18n("知识库文件"),
uploaded_files_tip=i18n("在工具箱中管理知识库文件")
))
with gr.Row(elem_id="chatbot-input-tb-row"):
with gr.Column(min_width=225, scale=12):
user_input = gr.Textbox(
elem_id="user-input-tb",
show_label=False,
placeholder=i18n("在这里输入"),
elem_classes="no-container",
max_lines=5,
# container=False
)
with gr.Column(min_width=42, scale=1, elem_id="chatbot-ctrl-btns"):
submitBtn = gr.Button(
value="", variant="primary", elem_id="submit-btn")
cancelBtn = gr.Button(
value="", variant="secondary", visible=False, elem_id="cancel-btn")
# Note: Buttons below are set invisible in UI. But they are used in JS.
with gr.Row(elem_id="chatbot-buttons", visible=False):
with gr.Column(min_width=120, scale=1):
emptyBtn = gr.Button(
i18n("🧹 新的对话"), elem_id="empty-btn"
)
with gr.Column(min_width=120, scale=1):
retryBtn = gr.Button(
i18n("🔄 重新生成"), elem_id="gr-retry-btn")
with gr.Column(min_width=120, scale=1):
delFirstBtn = gr.Button(i18n("🗑️ 删除最旧对话"))
with gr.Column(min_width=120, scale=1):
delLastBtn = gr.Button(
i18n("🗑️ 删除最新对话"), elem_id="gr-dellast-btn")
with gr.Row(visible=False) as like_dislike_area:
with gr.Column(min_width=20, scale=1):
likeBtn = gr.Button(
"👍", elem_id="gr-like-btn")
with gr.Column(min_width=20, scale=1):
dislikeBtn = gr.Button(
"👎", elem_id="gr-dislike-btn")
with gr.Column(elem_id="toolbox-area", scale=1):
# For CSS setting, there is an extra box. Don't remove it.
with gr.Group(elem_id="chuanhu-toolbox"):
with gr.Row():
gr.Markdown("## "+i18n("工具箱"))
gr.HTML(get_html("close_btn.html").format(
obj="toolbox"), elem_classes="close-btn")
with gr.Tabs(elem_id="chuanhu-toolbox-tabs"):
with gr.Tab(label=i18n("对话")):
with gr.Accordion(label=i18n("模型"), open=not HIDE_MY_KEY, visible=not HIDE_MY_KEY):
modelDescription = gr.Markdown(
elem_id="gr-model-description",
value=i18n(MODEL_METADATA[MODELS[DEFAULT_MODEL]]["description"]),
visible=False,
)
keyTxt = gr.Textbox(
show_label=True,
placeholder=f"Your API-key...",
value=hide_middle_chars(user_api_key.value),
type="password",
visible=not HIDE_MY_KEY,
label="API-Key",
elem_id="api-key"
)
if multi_api_key:
usageTxt = gr.Markdown(i18n(
"多账号模式已开启，无需输入key，可直接开始对话"), elem_id="usage-display", elem_classes="insert-block", visible=show_api_billing)
else:
usageTxt = gr.Markdown(i18n(
"**发送消息** 或 **提交key** 以显示额度"), elem_id="usage-display", elem_classes="insert-block", visible=show_api_billing)
gr.Markdown("---", elem_classes="hr-line", visible=not HIDE_MY_KEY)
with gr.Accordion(label="Prompt", open=True):
systemPromptTxt = gr.Textbox(
show_label=True,
placeholder=i18n("在这里输入System Prompt..."),
label="System prompt",
value=INITIAL_SYSTEM_PROMPT,
lines=8
)
retain_system_prompt_checkbox = gr.Checkbox(
label=i18n("新建对话保留Prompt"), value=False, visible=True, elem_classes="switch-checkbox")
with gr.Accordion(label=i18n("加载Prompt模板"), open=False):
with gr.Column():
with gr.Row():
with gr.Column(scale=6):
templateFileSelectDropdown = gr.Dropdown(
label=i18n("选择Prompt模板集合文件"),
choices=get_template_names(),
multiselect=False,
value=get_template_names()[0],
# container=False,
)
with gr.Column(scale=1):
templateRefreshBtn = gr.Button(
i18n("🔄 刷新"))
with gr.Row():
with gr.Column():
templateSelectDropdown = gr.Dropdown(
label=i18n("从Prompt模板中加载"),
choices=load_template(
get_template_names()[
0], mode=1
),
multiselect=False,
# container=False,
)
gr.Markdown("---", elem_classes="hr-line")
with gr.Accordion(label=i18n("知识库"), open=True, elem_id="gr-kb-accordion"):
use_websearch_checkbox = gr.Checkbox(label=i18n(
"使用在线搜索"), value=False, elem_classes="switch-checkbox", elem_id="gr-websearch-cb", visible=False)
index_files = gr.Files(label=i18n(
"上传"), type="filepath", file_types=[".pdf", ".docx", ".pptx", ".epub", ".xlsx", ".txt", "text", "image"], elem_id="upload-index-file")
two_column = gr.Checkbox(label=i18n(
"双栏pdf"), value=advance_docs["pdf"].get("two_column", False))
summarize_btn = gr.Button(i18n("总结"))
# TODO: 公式ocr
# formula_ocr = gr.Checkbox(label=i18n("识别公式"), value=advance_docs["pdf"].get("formula_ocr", False))
with gr.Tab(label=i18n("参数")):
gr.Markdown(i18n("# ⚠️ 务必谨慎更改 ⚠️"),
elem_id="advanced-warning")
with gr.Accordion(i18n("参数"), open=True):
temperature_slider = gr.Slider(
minimum=-0,
maximum=2.0,
value=1.0,
step=0.1,
interactive=True,
label="temperature",
)
top_p_slider = gr.Slider(
minimum=-0,
maximum=1.0,
value=1.0,
step=0.05,
interactive=True,
label="top-p",
)
n_choices_slider = gr.Slider(
minimum=1,
maximum=10,
value=1,
step=1,
interactive=True,
label="n choices",
)
stop_sequence_txt = gr.Textbox(
show_label=True,
placeholder=i18n("停止符，用英文逗号隔开..."),
label="stop",
value="",
lines=1,
)
max_context_length_slider = gr.Slider(
minimum=1,
maximum=32768,
value=2000,
step=1,
interactive=True,
label="max context",
)
max_generation_slider = gr.Slider(
minimum=1,
maximum=32768,
value=1000,
step=1,
interactive=True,
label="max generations",
)
presence_penalty_slider = gr.Slider(
minimum=-2.0,
maximum=2.0,
value=0.0,
step=0.01,
interactive=True,
label="presence penalty",
)
frequency_penalty_slider = gr.Slider(
minimum=-2.0,
maximum=2.0,
value=0.0,
step=0.01,
interactive=True,
label="frequency penalty",
)
logit_bias_txt = gr.Textbox(
show_label=True,
placeholder=f"word:likelihood",
label="logit bias",
value="",
lines=1,
)
user_identifier_txt = gr.Textbox(
show_label=True,
placeholder=i18n("用于定位滥用行为"),
label=i18n("用户标识符"),
value=user_name.value,
lines=1,
)
with gr.Tab(label=i18n("拓展")):
gr.Markdown(
"Will be here soon...\n(We hope)\n\nAnd we hope you can help us to make more extensions!")
# changeAPIURLBtn = gr.Button(i18n("🔄 切换API地址"))
with gr.Row(elem_id="popup-wrapper"):
with gr.Group(elem_id="chuanhu-popup"):
with gr.Group(elem_id="chuanhu-setting"):
with gr.Row():
gr.Markdown("## "+i18n("设置"))
gr.HTML(get_html("close_btn.html").format(
obj="box"), elem_classes="close-btn")
with gr.Tabs(elem_id="chuanhu-setting-tabs"):
# with gr.Tab(label=i18n("模型")):
# model_select_dropdown = gr.Dropdown(
# label=i18n("选择模型"), choices=MODELS, multiselect=False, value=MODELS[DEFAULT_MODEL], interactive=True
# )
# lora_select_dropdown = gr.Dropdown(
# label=i18n("选择LoRA模型"), choices=[], multiselect=False, interactive=True, visible=False
# )
# with gr.Row():
with gr.Tab(label=i18n("高级")):
gr.HTML(get_html("appearance_switcher.html").format(
label=i18n("切换亮暗色主题")), elem_classes="insert-block", visible=False)
use_streaming_checkbox = gr.Checkbox(
label=i18n("实时传输回答"), value=True, visible=ENABLE_STREAMING_OPTION, elem_classes="switch-checkbox no-container"
)
language_select_dropdown = gr.Dropdown(
label=i18n("选择回复语言（针对搜索&索引功能）"),
choices=REPLY_LANGUAGES,
multiselect=False,
value=REPLY_LANGUAGES[0],
elem_classes="no-container",
)
name_chat_method = gr.Dropdown(
label=i18n("对话命名方式"),
choices=HISTORY_NAME_METHODS,
multiselect=False,
interactive=True,
value=HISTORY_NAME_METHODS[chat_name_method_index],
elem_classes="no-container",
)
single_turn_checkbox = gr.Checkbox(label=i18n(
"单轮对话"), value=False, elem_classes="switch-checkbox", elem_id="gr-single-session-cb", visible=False)
# checkUpdateBtn = gr.Button(i18n("🔄 检查更新..."), visible=check_update)
logout_btn = gr.Button("Logout", link="/logout")
with gr.Tab(i18n("网络")):
gr.Markdown(
i18n("⚠️ 为保证API-Key安全，请在配置文件`config.json`中修改网络设置"), elem_id="netsetting-warning")
default_btn = gr.Button(i18n("🔙 恢复默认网络设置"))
# 网络代理
proxyTxt = gr.Textbox(
show_label=True,
placeholder=i18n("未设置代理..."),
label=i18n("代理地址"),
value=config.http_proxy,
lines=1,
interactive=False,
# container=False,
elem_classes="view-only-textbox no-container",
)
# changeProxyBtn = gr.Button(i18n("🔄 设置代理地址"))
# 优先展示自定义的api_host
apihostTxt = gr.Textbox(
show_label=True,
placeholder="api.openai.com",
label="OpenAI API-Host",
value=config.api_host or shared.API_HOST,
lines=1,
interactive=False,
# container=False,
elem_classes="view-only-textbox no-container",
)
with gr.Tab(label=i18n("关于"), elem_id="about-tab"):
gr.Markdown(
'<img alt="Chuanhu Chat logo" src="file=web_assets/icon/any-icon-512.png" style="max-width: 144px;">')
gr.Markdown("# "+i18n("川虎Chat"))
gr.HTML(get_html("footer.html").format(
versions=versions_html()), elem_id="footer")
gr.Markdown(CHUANHU_DESCRIPTION, elem_id="description")
with gr.Group(elem_id="chuanhu-training"):
with gr.Row():
gr.Markdown("## "+i18n("训练"))
gr.HTML(get_html("close_btn.html").format(
obj="box"), elem_classes="close-btn")
with gr.Tabs(elem_id="chuanhu-training-tabs"):
with gr.Tab(label="OpenAI "+i18n("微调")):
openai_train_status = gr.Markdown(label=i18n("训练状态"), value=i18n(
"查看[使用介绍](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/使用教程#微调-gpt-35)"))
with gr.Tab(label=i18n("准备数据集")):
dataset_previewjson = gr.JSON(
label=i18n("数据集预览"))
dataset_selection = gr.Files(label=i18n("选择数据集"), file_types=[
".xlsx", ".jsonl"], file_count="single")
upload_to_openai_btn = gr.Button(
i18n("上传到OpenAI"), variant="primary", interactive=False)
with gr.Tab(label=i18n("训练")):
openai_ft_file_id = gr.Textbox(label=i18n(
"文件ID"), value="", lines=1, placeholder=i18n("上传到 OpenAI 后自动填充"))
openai_ft_suffix = gr.Textbox(label=i18n(
"模型名称后缀"), value="", lines=1, placeholder=i18n("可选，用于区分不同的模型"))
openai_train_epoch_slider = gr.Slider(label=i18n(
"训练轮数（Epochs）"), minimum=1, maximum=100, value=3, step=1, interactive=True)
openai_start_train_btn = gr.Button(
i18n("开始训练"), variant="primary", interactive=False)
with gr.Tab(label=i18n("状态")):
openai_status_refresh_btn = gr.Button(i18n("刷新状态"))
openai_cancel_all_jobs_btn = gr.Button(
i18n("取消所有任务"))
add_to_models_btn = gr.Button(
i18n("添加训练好的模型到模型列表"), interactive=False)
with gr.Group(elem_id="web-config", visible=False):
gr.HTML(get_html('web_config.html').format(
enableCheckUpdate_config=check_update,
hideHistoryWhenNotLoggedIn_config=hide_history_when_not_logged_in,
forView_i18n=i18n("仅供查看"),
deleteConfirm_i18n_pref=i18n("你真的要删除 "),
deleteConfirm_i18n_suff=i18n(" 吗？"),
usingLatest_i18n=i18n("您使用的就是最新版！"),
updatingMsg_i18n=i18n("正在尝试更新..."),
updateSuccess_i18n=i18n("更新成功，请重启本程序"),
updateFailure_i18n=i18n(
"更新失败，请尝试[手动更新](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/使用教程#手动更新)"),
regenerate_i18n=i18n("重新生成"),
deleteRound_i18n=i18n("删除这轮问答"),
renameChat_i18n=i18n("重命名该对话"),
validFileName_i18n=i18n("请输入有效的文件名，不要包含以下特殊字符："),
clearFileHistoryMsg_i18n=i18n("⚠️请先删除知识库中的历史文件，再尝试上传！"),
dropUploadMsg_i18n=i18n("释放文件以上传"),
))
with gr.Group(elem_id="fake-gradio-components", visible=False):
updateChuanhuBtn = gr.Button(
visible=False, elem_classes="invisible-btn", elem_id="update-chuanhu-btn")
rebootChuanhuBtn = gr.Button(
visible=False, elem_classes="invisible-btn", elem_id="reboot-chuanhu-btn")
changeSingleSessionBtn = gr.Button(
visible=False, elem_classes="invisible-btn", elem_id="change-single-session-btn")
changeOnlineSearchBtn = gr.Button(
visible=False, elem_classes="invisible-btn", elem_id="change-online-search-btn")
historySelectBtn = gr.Button(
visible=False, elem_classes="invisible-btn", elem_id="history-select-btn") # Not used
# https://github.com/gradio-app/gradio/pull/3296
def create_greeting(request: gr.Request):
if hasattr(request, "username") and request.username: # is not None or is not ""
logging.info(f"Get User Name: {request.username}")
user_info, user_name = gr.Markdown(
value=f"User: {request.username}"), request.username
else:
user_info, user_name = gr.Markdown(
value=f"", visible=False), ""
current_model = get_model(
model_name=MODELS[DEFAULT_MODEL], access_key=my_api_key, user_name=user_name)[0]
if not hide_history_when_not_logged_in or user_name:
loaded_stuff = current_model.auto_load()
else:
current_model.new_auto_history_filename()
loaded_stuff = [gr.update(), gr.update(), gr.Chatbot(label=MODELS[DEFAULT_MODEL]), current_model.single_turn, current_model.temperature, current_model.top_p, current_model.n_choices, current_model.stop_sequence, current_model.token_upper_limit, current_model.max_generation_token, current_model.presence_penalty, current_model.frequency_penalty, current_model.logit_bias, current_model.user_identifier, gr.DownloadButton(), gr.DownloadButton()]
return user_info, user_name, current_model, toggle_like_btn_visibility(DEFAULT_MODEL), *loaded_stuff, init_history_list(user_name, prepend=current_model.history_file_path.rstrip(".json"))
demo.load(create_greeting, inputs=None, outputs=[
user_info, user_name, current_model, like_dislike_area, saveFileName, systemPromptTxt, chatbot, single_turn_checkbox, temperature_slider, top_p_slider, n_choices_slider, stop_sequence_txt, max_context_length_slider, max_generation_slider, presence_penalty_slider, frequency_penalty_slider, logit_bias_txt, user_identifier_txt, use_streaming_checkbox, downloadHistoryJSONBtn, downloadHistoryMarkdownBtn, historySelectList], api_name="load")
chatgpt_predict_args = dict(
fn=predict,
inputs=[
current_model,
user_question,
chatbot,
use_websearch_checkbox,
index_files,
language_select_dropdown,
],
outputs=[chatbot, status_display],
show_progress=True,
concurrency_limit=CONCURRENT_COUNT
)
start_outputing_args = dict(
fn=start_outputing,
inputs=[],
outputs=[submitBtn, cancelBtn],
show_progress=True,
)
end_outputing_args = dict(
fn=end_outputing, inputs=[], outputs=[submitBtn, cancelBtn]
)
reset_textbox_args = dict(
fn=reset_textbox, inputs=[], outputs=[user_input]
)
transfer_input_args = dict(
fn=transfer_input, inputs=[user_input], outputs=[
user_question, user_input, submitBtn, cancelBtn], show_progress=True
)
get_usage_args = dict(
fn=billing_info, inputs=[current_model], outputs=[
usageTxt], show_progress=False
)
load_history_from_file_args = dict(
fn=load_chat_history,
inputs=[current_model, historySelectList],
outputs=[saveFileName, systemPromptTxt, chatbot, single_turn_checkbox, temperature_slider, top_p_slider, n_choices_slider, stop_sequence_txt, max_context_length_slider, max_generation_slider, presence_penalty_slider, frequency_penalty_slider, logit_bias_txt, user_identifier_txt, use_streaming_checkbox, downloadHistoryJSONBtn, downloadHistoryMarkdownBtn],
)
refresh_history_args = dict(
fn=get_history_list, inputs=[user_name], outputs=[historySelectList]
)
auto_name_chat_history_args = dict(
fn=auto_name_chat_history,
inputs=[current_model, name_chat_method, user_question, single_turn_checkbox],
outputs=[historySelectList],
show_progress=False,
)
# Chatbot
cancelBtn.click(interrupt, [current_model], [])
user_input.submit(**transfer_input_args).then(**
chatgpt_predict_args).then(**end_outputing_args).then(**auto_name_chat_history_args)
user_input.submit(**get_usage_args)
# user_input.submit(auto_name_chat_history, [current_model, user_question, chatbot, user_name], [historySelectList], show_progress=False)
submitBtn.click(**transfer_input_args).then(**chatgpt_predict_args,
api_name="predict").then(**end_outputing_args).then(**auto_name_chat_history_args)
submitBtn.click(**get_usage_args)
# submitBtn.click(auto_name_chat_history, [current_model, user_question, chatbot, user_name], [historySelectList], show_progress=False)
index_files.upload(handle_file_upload, [current_model, index_files, chatbot, language_select_dropdown], [
index_files, chatbot, status_display])
summarize_btn.click(handle_summarize_index, [
current_model, index_files, chatbot, language_select_dropdown], [chatbot, status_display])
emptyBtn.click(
reset,
inputs=[current_model, retain_system_prompt_checkbox],
outputs=[chatbot, status_display, historySelectList, systemPromptTxt, single_turn_checkbox, temperature_slider, top_p_slider, n_choices_slider, stop_sequence_txt, max_context_length_slider, max_generation_slider, presence_penalty_slider, frequency_penalty_slider, logit_bias_txt, user_identifier_txt, use_streaming_checkbox],
show_progress=True,
js='(a,b)=>{return clearChatbot(a,b);}',
)
retryBtn.click(**start_outputing_args).then(
retry,
[
current_model,
chatbot,
use_websearch_checkbox,
index_files,
language_select_dropdown,
],
[chatbot, status_display],
show_progress=True,
).then(**end_outputing_args)
retryBtn.click(**get_usage_args)
delFirstBtn.click(
delete_first_conversation,
[current_model],
[status_display],
)
delLastBtn.click(
delete_last_conversation,
[current_model, chatbot],
[chatbot, status_display],
show_progress=False
)
likeBtn.click(
like,
[current_model],
[status_display],
show_progress=False
)
dislikeBtn.click(
dislike,
[current_model],
[status_display],
show_progress=False
)
two_column.change(update_doc_config, [two_column], None)
# LLM Models
keyTxt.change(set_key, [current_model, keyTxt], [
user_api_key, status_display], api_name="set_key").then(**get_usage_args)
keyTxt.submit(**get_usage_args)
single_turn_checkbox.change(
set_single_turn, [current_model, single_turn_checkbox], None, show_progress=False)
use_streaming_checkbox.change(set_streaming, [current_model, use_streaming_checkbox], None, show_progress=False)
model_select_dropdown.change(get_model, [model_select_dropdown, lora_select_dropdown, user_api_key, temperature_slider, top_p_slider, systemPromptTxt, user_name, current_model], [
current_model, status_display, chatbot, lora_select_dropdown, user_api_key, keyTxt, modelDescription, use_streaming_checkbox], show_progress=True, api_name="get_model")
model_select_dropdown.change(toggle_like_btn_visibility, [model_select_dropdown], [
like_dislike_area], show_progress=False)
# model_select_dropdown.change(
# toggle_file_type, [model_select_dropdown], [index_files], show_progress=False)
lora_select_dropdown.change(get_model, [model_select_dropdown, lora_select_dropdown, user_api_key, temperature_slider,
top_p_slider, systemPromptTxt, user_name, current_model], [current_model, status_display, chatbot, modelDescription], show_progress=True)
# Template
systemPromptTxt.change(set_system_prompt, [
current_model, systemPromptTxt], None)
templateRefreshBtn.click(get_template_dropdown, None, [
templateFileSelectDropdown])
templateFileSelectDropdown.input(
load_template,
[templateFileSelectDropdown],
[promptTemplates, templateSelectDropdown],
show_progress=True,
)
templateSelectDropdown.change(
get_template_content,
[promptTemplates, templateSelectDropdown, systemPromptTxt],
[systemPromptTxt],
show_progress=True,
)
# S&L
renameHistoryBtn.click(
rename_chat_history,
[current_model, saveFileName],
[historySelectList],
show_progress=True,
js='(a,b,c,d)=>{return saveChatHistory(a,b,c,d);}'
)
historyRefreshBtn.click(**refresh_history_args)
historyDeleteBtn.click(delete_chat_history, [current_model, historySelectList], [status_display, historySelectList, chatbot], js='(a,b,c)=>{return showConfirmationDialog(a, b, c);}').then(
reset,
inputs=[current_model, retain_system_prompt_checkbox],
outputs=[chatbot, status_display, historySelectList, systemPromptTxt],
show_progress=True,
js='(a,b)=>{return clearChatbot(a,b);}',
)
historySelectList.select(**load_history_from_file_args)
uploadHistoryBtn.upload(upload_chat_history, [current_model, uploadHistoryBtn], [
saveFileName, systemPromptTxt, chatbot, single_turn_checkbox, temperature_slider, top_p_slider, n_choices_slider, stop_sequence_txt, max_context_length_slider, max_generation_slider, presence_penalty_slider, frequency_penalty_slider, logit_bias_txt, user_identifier_txt, use_streaming_checkbox, downloadHistoryJSONBtn, downloadHistoryMarkdownBtn, historySelectList]).then(**refresh_history_args)
historySearchTextbox.input(
filter_history,
[user_name, historySearchTextbox],
[historySelectList]
)
# Train
dataset_selection.upload(handle_dataset_selection, dataset_selection, [
dataset_previewjson, upload_to_openai_btn, openai_train_status])
dataset_selection.clear(handle_dataset_clear, [], [
dataset_previewjson, upload_to_openai_btn])
upload_to_openai_btn.click(upload_to_openai, [dataset_selection], [
openai_ft_file_id, openai_train_status], show_progress=True)
openai_ft_file_id.change(lambda x: gr.update(interactive=True) if len(
x) > 0 else gr.update(interactive=False), [openai_ft_file_id], [openai_start_train_btn])
openai_start_train_btn.click(start_training, [
openai_ft_file_id, openai_ft_suffix, openai_train_epoch_slider], [openai_train_status])
openai_status_refresh_btn.click(get_training_status, [], [
openai_train_status, add_to_models_btn])
add_to_models_btn.click(add_to_models, [], [
model_select_dropdown, openai_train_status], show_progress=True)
openai_cancel_all_jobs_btn.click(
cancel_all_jobs, [], [openai_train_status], show_progress=True)
# Advanced
temperature_slider.input(
set_temperature, [current_model, temperature_slider], None, show_progress=False)
top_p_slider.input(set_top_p, [current_model, top_p_slider], None, show_progress=False)
n_choices_slider.input(
set_n_choices, [current_model, n_choices_slider], None, show_progress=False)
stop_sequence_txt.input(
set_stop_sequence, [current_model, stop_sequence_txt], None, show_progress=False)
max_context_length_slider.input(
set_token_upper_limit, [current_model, max_context_length_slider], None, show_progress=False)
max_generation_slider.input(
set_max_tokens, [current_model, max_generation_slider], None, show_progress=False)
presence_penalty_slider.input(
set_presence_penalty, [current_model, presence_penalty_slider], None, show_progress=False)
frequency_penalty_slider.input(
set_frequency_penalty, [current_model, frequency_penalty_slider], None, show_progress=False)
logit_bias_txt.input(
set_logit_bias, [current_model, logit_bias_txt], None, show_progress=False)
user_identifier_txt.input(set_user_identifier, [
current_model, user_identifier_txt], None, show_progress=False)
default_btn.click(
reset_default, [], [apihostTxt, proxyTxt, status_display], show_progress=True
)
# changeAPIURLBtn.click(
# change_api_host,
# [apihostTxt],
# [status_display],
# show_progress=True,
# )
# changeProxyBtn.click(
# change_proxy,
# [proxyTxt],
# [status_display],
# show_progress=True,
# )
# checkUpdateBtn.click(fn=None, js='manualCheckUpdate')
# Invisible elements
updateChuanhuBtn.click(
update_chuanhu,
[user_name],
[status_display],
show_progress=True,
)
rebootChuanhuBtn.click(
reboot_chuanhu,
[],
[],
show_progress=True,
js='rebootingChuanhu'
)
changeSingleSessionBtn.click(
fn=lambda value: gr.Checkbox(value=value),
inputs=[single_turn_checkbox],
outputs=[single_turn_checkbox],
js='(a)=>{return bgChangeSingleSession(a);}'
)
changeOnlineSearchBtn.click(
fn=lambda value: gr.Checkbox(value=value),
inputs=[use_websearch_checkbox],
outputs=[use_websearch_checkbox],
js='(a)=>{return bgChangeOnlineSearch(a);}'
)
historySelectBtn.click( # This is an experimental feature... Not actually used.
fn=load_chat_history,
inputs=[current_model, historySelectList],
outputs=[saveFileName, systemPromptTxt, chatbot, single_turn_checkbox, temperature_slider, top_p_slider, n_choices_slider, stop_sequence_txt, max_context_length_slider, max_generation_slider, presence_penalty_slider, frequency_penalty_slider, logit_bias_txt, user_identifier_txt, use_streaming_checkbox, downloadHistoryJSONBtn, downloadHistoryMarkdownBtn],
js='(a,b)=>{return bgSelectHistory(a,b);}'
)
# 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 = i18n("川虎Chat 🚀")
if __name__ == "__main__":
reload_javascript()
setup_wizard()
demo.queue().launch(
allowed_paths=["web_assets"],
blocked_paths=["config.json", "files", "models", "lora", "modules", "history"],
server_name=server_name,
server_port=server_port,
share=share,
auth=auth_from_conf if authflag else None,
favicon_path="./web_assets/favicon.ico",
inbrowser=autobrowser and not dockerflag, # 禁止在docker下开启inbrowser
)