镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
Merge branch 'master' into frontier
这个提交包含在：
binary-husky
11
config.py
11
config.py
@@ -32,7 +32,8 @@ else:
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# [step 3]>> 模型选择是 (注意: LLM_MODEL是默认选中的模型, 它*必须*被包含在AVAIL_LLM_MODELS列表中 )
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LLM_MODEL = "gpt-3.5-turbo-16k" # 可选 ↓↓↓
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AVAIL_LLM_MODELS = ["gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-preview", "gpt-4-turbo", "gpt-4-turbo-2024-04-09",
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AVAIL_LLM_MODELS = ["gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-preview",
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"gpt-4o", "gpt-4-turbo", "gpt-4-turbo-2024-04-09",
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"gpt-3.5-turbo-1106", "gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5",
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"gpt-4", "gpt-4-32k", "azure-gpt-4", "glm-4", "glm-4v", "glm-3-turbo",
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"gemini-pro", "chatglm3"
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@@ -44,7 +45,7 @@ AVAIL_LLM_MODELS = ["gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-p
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# "spark", "sparkv2", "sparkv3", "sparkv3.5",
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# "qwen-turbo", "qwen-plus", "qwen-max", "qwen-local",
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# "moonshot-v1-128k", "moonshot-v1-32k", "moonshot-v1-8k",
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# "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-0125"
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# "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-0125", "gpt-4o-2024-05-13"
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# "claude-3-haiku-20240307","claude-3-sonnet-20240229","claude-3-opus-20240229", "claude-2.1", "claude-instant-1.2",
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# "moss", "llama2", "chatglm_onnx", "internlm", "jittorllms_pangualpha", "jittorllms_llama",
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# "deepseek-chat" ,"deepseek-coder",
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@@ -104,6 +105,10 @@ TIMEOUT_SECONDS = 30
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WEB_PORT = -1
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# 是否自动打开浏览器页面
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AUTO_OPEN_BROWSER = True
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# 如果OpenAI不响应（网络卡顿、代理失败、KEY失效），重试的次数限制
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MAX_RETRY = 2
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@@ -197,7 +202,7 @@ ALIYUN_SECRET="" # （无需填写）
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# GPT-SOVITS 文本转语音服务的运行地址（将语言模型的生成文本朗读出来）
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TTS_TYPE = "DISABLE" # LOCAL / LOCAL_SOVITS_API / DISABLE
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TTS_TYPE = "DISABLE" # EDGE_TTS / LOCAL_SOVITS_API / DISABLE
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GPT_SOVITS_URL = ""
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EDGE_TTS_VOICE = "zh-CN-XiaoxiaoNeural"
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@@ -33,6 +33,8 @@ def get_core_functions():
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"AutoClearHistory": False,
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# [6] 文本预处理 （可选参数，默认 None，举例：写个函数移除所有的换行符）
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"PreProcess": None,
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# [7] 模型选择 （可选参数。如不设置，则使用当前全局模型；如设置，则用指定模型覆盖全局模型。）
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# "ModelOverride": "gpt-3.5-turbo", # 主要用途：强制点击此基础功能按钮时，使用指定的模型。
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},
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@@ -313,7 +313,7 @@
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"注意": "Attention",
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"以下“红颜色”标识的函数插件需从输入区读取路径作为参数": "The function plugins marked in 'red' below need to read the path from the input area as a parameter",
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"更多函数插件": "More function plugins",
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"打开插件列表": "Open plugin list",
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"点击这里搜索插件列表": "Click Here to Search the Plugin List",
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"高级参数输入区": "Advanced parameter input area",
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"这里是特殊函数插件的高级参数输入区": "Here is the advanced parameter input area for special function plugins",
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"请先从插件列表中选择": "Please select from the plugin list first",
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759
main.py
759
main.py
@@ -1,379 +1,380 @@
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import os, json; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
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help_menu_description = \
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"""Github源代码开源和更新[地址🚀](https://github.com/binary-husky/gpt_academic),
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感谢热情的[开发者们❤️](https://github.com/binary-husky/gpt_academic/graphs/contributors).
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</br></br>常见问题请查阅[项目Wiki](https://github.com/binary-husky/gpt_academic/wiki),
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如遇到Bug请前往[Bug反馈](https://github.com/binary-husky/gpt_academic/issues).
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</br></br>普通对话使用说明: 1. 输入问题; 2. 点击提交
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</br></br>基础功能区使用说明: 1. 输入文本; 2. 点击任意基础功能区按钮
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</br></br>函数插件区使用说明: 1. 输入路径/问题, 或者上传文件; 2. 点击任意函数插件区按钮
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</br></br>虚空终端使用说明: 点击虚空终端, 然后根据提示输入指令, 再次点击虚空终端
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</br></br>如何保存对话: 点击保存当前的对话按钮
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</br></br>如何语音对话: 请阅读Wiki
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</br></br>如何临时更换API_KEY: 在输入区输入临时API_KEY后提交（网页刷新后失效）"""
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def enable_log(PATH_LOGGING):
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import logging
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admin_log_path = os.path.join(PATH_LOGGING, "admin")
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os.makedirs(admin_log_path, exist_ok=True)
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log_dir = os.path.join(admin_log_path, "chat_secrets.log")
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try:logging.basicConfig(filename=log_dir, level=logging.INFO, encoding="utf-8", format="%(asctime)s %(levelname)-8s %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
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except:logging.basicConfig(filename=log_dir, level=logging.INFO, format="%(asctime)s %(levelname)-8s %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
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# Disable logging output from the 'httpx' logger
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logging.getLogger("httpx").setLevel(logging.WARNING)
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print(f"所有对话记录将自动保存在本地目录{log_dir}, 请注意自我隐私保护哦！")
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def main():
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import gradio as gr
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if gr.__version__ not in ['3.32.9', '3.32.10']:
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raise ModuleNotFoundError("使用项目内置Gradio获取最优体验! 请运行 `pip install -r requirements.txt` 指令安装内置Gradio及其他依赖, 详情信息见requirements.txt.")
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from request_llms.bridge_all import predict
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from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith
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# 建议您复制一个config_private.py放自己的秘密, 如API和代理网址
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proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION = get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION')
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CHATBOT_HEIGHT, LAYOUT, AVAIL_LLM_MODELS, AUTO_CLEAR_TXT = get_conf('CHATBOT_HEIGHT', 'LAYOUT', 'AVAIL_LLM_MODELS', 'AUTO_CLEAR_TXT')
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ENABLE_AUDIO, AUTO_CLEAR_TXT, PATH_LOGGING, AVAIL_THEMES, THEME, ADD_WAIFU = get_conf('ENABLE_AUDIO', 'AUTO_CLEAR_TXT', 'PATH_LOGGING', 'AVAIL_THEMES', 'THEME', 'ADD_WAIFU')
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NUM_CUSTOM_BASIC_BTN, SSL_KEYFILE, SSL_CERTFILE = get_conf('NUM_CUSTOM_BASIC_BTN', 'SSL_KEYFILE', 'SSL_CERTFILE')
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DARK_MODE, INIT_SYS_PROMPT, ADD_WAIFU, TTS_TYPE = get_conf('DARK_MODE', 'INIT_SYS_PROMPT', 'ADD_WAIFU', 'TTS_TYPE')
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if LLM_MODEL not in AVAIL_LLM_MODELS: AVAIL_LLM_MODELS += [LLM_MODEL]
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# 如果WEB_PORT是-1, 则随机选取WEB端口
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PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
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from check_proxy import get_current_version
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from themes.theme import adjust_theme, advanced_css, theme_declaration, js_code_clear, js_code_reset, js_code_show_or_hide, js_code_show_or_hide_group2
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from themes.theme import js_code_for_css_changing, js_code_for_toggle_darkmode, js_code_for_persistent_cookie_init
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from themes.theme import load_dynamic_theme, to_cookie_str, from_cookie_str, assign_user_uuid
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title_html = f"<h1 align=\"center\">GPT 学术优化 {get_current_version()}</h1>{theme_declaration}"
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# 对话、日志记录
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enable_log(PATH_LOGGING)
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# 一些普通功能模块
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from core_functional import get_core_functions
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functional = get_core_functions()
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# 高级函数插件
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from crazy_functional import get_crazy_functions
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DEFAULT_FN_GROUPS = get_conf('DEFAULT_FN_GROUPS')
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plugins = get_crazy_functions()
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all_plugin_groups = list(set([g for _, plugin in plugins.items() for g in plugin['Group'].split('|')]))
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match_group = lambda tags, groups: any([g in groups for g in tags.split('|')])
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# 处理markdown文本格式的转变
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gr.Chatbot.postprocess = format_io
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# 做一些外观色彩上的调整
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set_theme = adjust_theme()
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# 代理与自动更新
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from check_proxy import check_proxy, auto_update, warm_up_modules
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proxy_info = check_proxy(proxies)
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gr_L1 = lambda: gr.Row().style()
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gr_L2 = lambda scale, elem_id: gr.Column(scale=scale, elem_id=elem_id, min_width=400)
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if LAYOUT == "TOP-DOWN":
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gr_L1 = lambda: DummyWith()
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gr_L2 = lambda scale, elem_id: gr.Row()
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CHATBOT_HEIGHT /= 2
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cancel_handles = []
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customize_btns = {}
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predefined_btns = {}
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from shared_utils.cookie_manager import make_cookie_cache, make_history_cache
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with gr.Blocks(title="GPT 学术优化", theme=set_theme, analytics_enabled=False, css=advanced_css) as app_block:
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gr.HTML(title_html)
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secret_css = gr.Textbox(visible=False, elem_id="secret_css")
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cookies, web_cookie_cache = make_cookie_cache() # 定义 后端state（cookies）、前端（web_cookie_cache）两兄弟
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with gr_L1():
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with gr_L2(scale=2, elem_id="gpt-chat"):
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chatbot = gr.Chatbot(label=f"当前模型：{LLM_MODEL}", elem_id="gpt-chatbot")
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if LAYOUT == "TOP-DOWN": chatbot.style(height=CHATBOT_HEIGHT)
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history, history_cache, history_cache_update = make_history_cache() # 定义 后端state（history）、前端（history_cache）、后端setter（history_cache_update）三兄弟
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with gr_L2(scale=1, elem_id="gpt-panel"):
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with gr.Accordion("输入区", open=True, elem_id="input-panel") as area_input_primary:
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with gr.Row():
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txt = gr.Textbox(show_label=False, placeholder="Input question here.", elem_id='user_input_main').style(container=False)
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with gr.Row():
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submitBtn = gr.Button("提交", elem_id="elem_submit", variant="primary")
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with gr.Row():
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resetBtn = gr.Button("重置", elem_id="elem_reset", variant="secondary"); resetBtn.style(size="sm")
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stopBtn = gr.Button("停止", elem_id="elem_stop", variant="secondary"); stopBtn.style(size="sm")
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clearBtn = gr.Button("清除", elem_id="elem_clear", variant="secondary", visible=False); clearBtn.style(size="sm")
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if ENABLE_AUDIO:
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with gr.Row():
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audio_mic = gr.Audio(source="microphone", type="numpy", elem_id="elem_audio", streaming=True, show_label=False).style(container=False)
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with gr.Row():
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status = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {proxy_info}", elem_id="state-panel")
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with gr.Accordion("基础功能区", open=True, elem_id="basic-panel") as area_basic_fn:
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with gr.Row():
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for k in range(NUM_CUSTOM_BASIC_BTN):
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customize_btn = gr.Button("自定义按钮" + str(k+1), visible=False, variant="secondary", info_str=f'基础功能区: 自定义按钮')
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customize_btn.style(size="sm")
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customize_btns.update({"自定义按钮" + str(k+1): customize_btn})
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for k in functional:
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if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue
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variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
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functional[k]["Button"] = gr.Button(k, variant=variant, info_str=f'基础功能区: {k}')
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functional[k]["Button"].style(size="sm")
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predefined_btns.update({k: functional[k]["Button"]})
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with gr.Accordion("函数插件区", open=True, elem_id="plugin-panel") as area_crazy_fn:
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with gr.Row():
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gr.Markdown("插件可读取“输入区”文本/路径作为参数（上传文件自动修正路径）")
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with gr.Row(elem_id="input-plugin-group"):
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plugin_group_sel = gr.Dropdown(choices=all_plugin_groups, label='', show_label=False, value=DEFAULT_FN_GROUPS,
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multiselect=True, interactive=True, elem_classes='normal_mut_select').style(container=False)
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with gr.Row():
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for k, plugin in plugins.items():
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if not plugin.get("AsButton", True): continue
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visible = True if match_group(plugin['Group'], DEFAULT_FN_GROUPS) else False
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variant = plugins[k]["Color"] if "Color" in plugin else "secondary"
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info = plugins[k].get("Info", k)
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plugin['Button'] = plugins[k]['Button'] = gr.Button(k, variant=variant,
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visible=visible, info_str=f'函数插件区: {info}').style(size="sm")
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with gr.Row():
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with gr.Accordion("更多函数插件", open=True):
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dropdown_fn_list = []
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for k, plugin in plugins.items():
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if not match_group(plugin['Group'], DEFAULT_FN_GROUPS): continue
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if not plugin.get("AsButton", True): dropdown_fn_list.append(k) # 排除已经是按钮的插件
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elif plugin.get('AdvancedArgs', False): dropdown_fn_list.append(k) # 对于需要高级参数的插件，亦在下拉菜单中显示
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with gr.Row():
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dropdown = gr.Dropdown(dropdown_fn_list, value=r"打开插件列表", label="", show_label=False).style(container=False)
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with gr.Row():
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plugin_advanced_arg = gr.Textbox(show_label=True, label="高级参数输入区", visible=False,
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placeholder="这里是特殊函数插件的高级参数输入区").style(container=False)
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with gr.Row():
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switchy_bt = gr.Button(r"请先从插件列表中选择", variant="secondary").style(size="sm")
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with gr.Row():
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with gr.Accordion("点击展开“文件下载区”。", open=False) as area_file_up:
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file_upload = gr.Files(label="任何文件, 推荐上传压缩文件(zip, tar)", file_count="multiple", elem_id="elem_upload")
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with gr.Floating(init_x="0%", init_y="0%", visible=True, width=None, drag="forbidden", elem_id="tooltip"):
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with gr.Row():
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with gr.Tab("上传文件", elem_id="interact-panel"):
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gr.Markdown("请上传本地文件/压缩包供“函数插件区”功能调用。请注意: 上传文件后会自动把输入区修改为相应路径。")
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file_upload_2 = gr.Files(label="任何文件, 推荐上传压缩文件(zip, tar)", file_count="multiple", elem_id="elem_upload_float")
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with gr.Tab("更换模型", elem_id="interact-panel"):
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md_dropdown = gr.Dropdown(AVAIL_LLM_MODELS, value=LLM_MODEL, elem_id="elem_model_sel", label="更换LLM模型/请求源").style(container=False)
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top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
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temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature", elem_id="elem_temperature")
|
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max_length_sl = gr.Slider(minimum=256, maximum=1024*32, value=4096, step=128, interactive=True, label="Local LLM MaxLength",)
|
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system_prompt = gr.Textbox(show_label=True, lines=2, placeholder=f"System Prompt", label="System prompt", value=INIT_SYS_PROMPT, elem_id="elem_prompt")
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temperature.change(None, inputs=[temperature], outputs=None,
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_js="""(temperature)=>gpt_academic_gradio_saveload("save", "elem_prompt", "js_temperature_cookie", temperature)""")
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system_prompt.change(None, inputs=[system_prompt], outputs=None,
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_js="""(system_prompt)=>gpt_academic_gradio_saveload("save", "elem_prompt", "js_system_prompt_cookie", system_prompt)""")
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md_dropdown.change(None, inputs=[md_dropdown], outputs=None,
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_js="""(md_dropdown)=>gpt_academic_gradio_saveload("save", "elem_model_sel", "js_md_dropdown_cookie", md_dropdown)""")
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|
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with gr.Tab("界面外观", elem_id="interact-panel"):
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theme_dropdown = gr.Dropdown(AVAIL_THEMES, value=THEME, label="更换UI主题").style(container=False)
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checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "浮动输入区", "输入清除键", "插件参数区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区", elem_id='cbs').style(container=False)
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opt = ["自定义菜单"]
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value=[]
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if ADD_WAIFU: opt += ["添加Live2D形象"]; value += ["添加Live2D形象"]
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checkboxes_2 = gr.CheckboxGroup(opt, value=value, label="显示/隐藏自定义菜单", elem_id='cbsc').style(container=False)
|
||||
dark_mode_btn = gr.Button("切换界面明暗 ☀", variant="secondary").style(size="sm")
|
||||
dark_mode_btn.click(None, None, None, _js=js_code_for_toggle_darkmode)
|
||||
with gr.Tab("帮助", elem_id="interact-panel"):
|
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gr.Markdown(help_menu_description)
|
||||
|
||||
with gr.Floating(init_x="20%", init_y="50%", visible=False, width="40%", drag="top") as area_input_secondary:
|
||||
with gr.Accordion("浮动输入区", open=True, elem_id="input-panel2"):
|
||||
with gr.Row() as row:
|
||||
row.style(equal_height=True)
|
||||
with gr.Column(scale=10):
|
||||
txt2 = gr.Textbox(show_label=False, placeholder="Input question here.",
|
||||
elem_id='user_input_float', lines=8, label="输入区2").style(container=False)
|
||||
with gr.Column(scale=1, min_width=40):
|
||||
submitBtn2 = gr.Button("提交", variant="primary"); submitBtn2.style(size="sm")
|
||||
resetBtn2 = gr.Button("重置", variant="secondary"); resetBtn2.style(size="sm")
|
||||
stopBtn2 = gr.Button("停止", variant="secondary"); stopBtn2.style(size="sm")
|
||||
clearBtn2 = gr.Button("清除", elem_id="elem_clear2", variant="secondary", visible=False); clearBtn2.style(size="sm")
|
||||
|
||||
|
||||
with gr.Floating(init_x="20%", init_y="50%", visible=False, width="40%", drag="top") as area_customize:
|
||||
with gr.Accordion("自定义菜单", open=True, elem_id="edit-panel"):
|
||||
with gr.Row() as row:
|
||||
with gr.Column(scale=10):
|
||||
AVAIL_BTN = [btn for btn in customize_btns.keys()] + [k for k in functional]
|
||||
basic_btn_dropdown = gr.Dropdown(AVAIL_BTN, value="自定义按钮1", label="选择一个需要自定义基础功能区按钮").style(container=False)
|
||||
basic_fn_title = gr.Textbox(show_label=False, placeholder="输入新按钮名称", lines=1).style(container=False)
|
||||
basic_fn_prefix = gr.Textbox(show_label=False, placeholder="输入新提示前缀", lines=4).style(container=False)
|
||||
basic_fn_suffix = gr.Textbox(show_label=False, placeholder="输入新提示后缀", lines=4).style(container=False)
|
||||
with gr.Column(scale=1, min_width=70):
|
||||
basic_fn_confirm = gr.Button("确认并保存", variant="primary"); basic_fn_confirm.style(size="sm")
|
||||
basic_fn_clean = gr.Button("恢复默认", variant="primary"); basic_fn_clean.style(size="sm")
|
||||
|
||||
from shared_utils.cookie_manager import assign_btn__fn_builder
|
||||
assign_btn = assign_btn__fn_builder(customize_btns, predefined_btns, cookies, web_cookie_cache)
|
||||
# update btn
|
||||
h = basic_fn_confirm.click(assign_btn, [web_cookie_cache, cookies, basic_btn_dropdown, basic_fn_title, basic_fn_prefix, basic_fn_suffix],
|
||||
[web_cookie_cache, cookies, *customize_btns.values(), *predefined_btns.values()])
|
||||
h.then(None, [web_cookie_cache], None, _js="""(web_cookie_cache)=>{setCookie("web_cookie_cache", web_cookie_cache, 365);}""")
|
||||
# clean up btn
|
||||
h2 = basic_fn_clean.click(assign_btn, [web_cookie_cache, cookies, basic_btn_dropdown, basic_fn_title, basic_fn_prefix, basic_fn_suffix, gr.State(True)],
|
||||
[web_cookie_cache, cookies, *customize_btns.values(), *predefined_btns.values()])
|
||||
h2.then(None, [web_cookie_cache], None, _js="""(web_cookie_cache)=>{setCookie("web_cookie_cache", web_cookie_cache, 365);}""")
|
||||
|
||||
|
||||
|
||||
# 功能区显示开关与功能区的互动
|
||||
def fn_area_visibility(a):
|
||||
ret = {}
|
||||
ret.update({area_input_primary: gr.update(visible=("浮动输入区" not in a))})
|
||||
ret.update({area_input_secondary: gr.update(visible=("浮动输入区" in a))})
|
||||
ret.update({plugin_advanced_arg: gr.update(visible=("插件参数区" in a))})
|
||||
if "浮动输入区" in a: ret.update({txt: gr.update(value="")})
|
||||
return ret
|
||||
checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn, area_input_primary, area_input_secondary, txt, txt2, plugin_advanced_arg] )
|
||||
checkboxes.select(None, [checkboxes], None, _js=js_code_show_or_hide)
|
||||
|
||||
# 功能区显示开关与功能区的互动
|
||||
def fn_area_visibility_2(a):
|
||||
ret = {}
|
||||
ret.update({area_customize: gr.update(visible=("自定义菜单" in a))})
|
||||
return ret
|
||||
checkboxes_2.select(fn_area_visibility_2, [checkboxes_2], [area_customize] )
|
||||
checkboxes_2.select(None, [checkboxes_2], None, _js=js_code_show_or_hide_group2)
|
||||
|
||||
# 整理反复出现的控件句柄组合
|
||||
input_combo = [cookies, max_length_sl, md_dropdown, txt, txt2, top_p, temperature, chatbot, history, system_prompt, plugin_advanced_arg]
|
||||
output_combo = [cookies, chatbot, history, status]
|
||||
predict_args = dict(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True)], outputs=output_combo)
|
||||
# 提交按钮、重置按钮
|
||||
cancel_handles.append(txt.submit(**predict_args))
|
||||
cancel_handles.append(txt2.submit(**predict_args))
|
||||
cancel_handles.append(submitBtn.click(**predict_args))
|
||||
cancel_handles.append(submitBtn2.click(**predict_args))
|
||||
resetBtn.click(None, None, [chatbot, history, status], _js=js_code_reset) # 先在前端快速清除chatbot&status
|
||||
resetBtn2.click(None, None, [chatbot, history, status], _js=js_code_reset) # 先在前端快速清除chatbot&status
|
||||
reset_server_side_args = (lambda history: ([], [], "已重置", json.dumps(history)),
|
||||
[history], [chatbot, history, status, history_cache])
|
||||
resetBtn.click(*reset_server_side_args) # 再在后端清除history，把history转存history_cache备用
|
||||
resetBtn2.click(*reset_server_side_args) # 再在后端清除history，把history转存history_cache备用
|
||||
clearBtn.click(None, None, [txt, txt2], _js=js_code_clear)
|
||||
clearBtn2.click(None, None, [txt, txt2], _js=js_code_clear)
|
||||
if AUTO_CLEAR_TXT:
|
||||
submitBtn.click(None, None, [txt, txt2], _js=js_code_clear)
|
||||
submitBtn2.click(None, None, [txt, txt2], _js=js_code_clear)
|
||||
txt.submit(None, None, [txt, txt2], _js=js_code_clear)
|
||||
txt2.submit(None, None, [txt, txt2], _js=js_code_clear)
|
||||
# 基础功能区的回调函数注册
|
||||
for k in functional:
|
||||
if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue
|
||||
click_handle = functional[k]["Button"].click(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True), gr.State(k)], outputs=output_combo)
|
||||
cancel_handles.append(click_handle)
|
||||
for btn in customize_btns.values():
|
||||
click_handle = btn.click(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True), gr.State(btn.value)], outputs=output_combo)
|
||||
cancel_handles.append(click_handle)
|
||||
# 文件上传区，接收文件后与chatbot的互动
|
||||
file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt, txt2, checkboxes, cookies], [chatbot, txt, txt2, cookies]).then(None, None, None, _js=r"()=>{toast_push('上传完毕 ...'); cancel_loading_status();}")
|
||||
file_upload_2.upload(on_file_uploaded, [file_upload_2, chatbot, txt, txt2, checkboxes, cookies], [chatbot, txt, txt2, cookies]).then(None, None, None, _js=r"()=>{toast_push('上传完毕 ...'); cancel_loading_status();}")
|
||||
# 函数插件-固定按钮区
|
||||
for k in plugins:
|
||||
if not plugins[k].get("AsButton", True): continue
|
||||
click_handle = plugins[k]["Button"].click(ArgsGeneralWrapper(plugins[k]["Function"]), [*input_combo], output_combo)
|
||||
click_handle.then(on_report_generated, [cookies, file_upload, chatbot], [cookies, file_upload, chatbot]).then(None, [plugins[k]["Button"]], None, _js=r"(fn)=>on_plugin_exe_complete(fn)")
|
||||
cancel_handles.append(click_handle)
|
||||
# 函数插件-下拉菜单与随变按钮的互动
|
||||
def on_dropdown_changed(k):
|
||||
variant = plugins[k]["Color"] if "Color" in plugins[k] else "secondary"
|
||||
info = plugins[k].get("Info", k)
|
||||
ret = {switchy_bt: gr.update(value=k, variant=variant, info_str=f'函数插件区: {info}')}
|
||||
if plugins[k].get("AdvancedArgs", False): # 是否唤起高级插件参数区
|
||||
ret.update({plugin_advanced_arg: gr.update(visible=True, label=f"插件[{k}]的高级参数说明：" + plugins[k].get("ArgsReminder", [f"没有提供高级参数功能说明"]))})
|
||||
else:
|
||||
ret.update({plugin_advanced_arg: gr.update(visible=False, label=f"插件[{k}]不需要高级参数。")})
|
||||
return ret
|
||||
dropdown.select(on_dropdown_changed, [dropdown], [switchy_bt, plugin_advanced_arg] )
|
||||
|
||||
def on_md_dropdown_changed(k):
|
||||
return {chatbot: gr.update(label="当前模型："+k)}
|
||||
md_dropdown.select(on_md_dropdown_changed, [md_dropdown], [chatbot] )
|
||||
|
||||
def on_theme_dropdown_changed(theme, secret_css):
|
||||
adjust_theme, css_part1, _, adjust_dynamic_theme = load_dynamic_theme(theme)
|
||||
if adjust_dynamic_theme:
|
||||
css_part2 = adjust_dynamic_theme._get_theme_css()
|
||||
else:
|
||||
css_part2 = adjust_theme()._get_theme_css()
|
||||
return css_part2 + css_part1
|
||||
|
||||
theme_handle = theme_dropdown.select(on_theme_dropdown_changed, [theme_dropdown, secret_css], [secret_css])
|
||||
theme_handle.then(
|
||||
None,
|
||||
[secret_css],
|
||||
None,
|
||||
_js=js_code_for_css_changing
|
||||
)
|
||||
# 随变按钮的回调函数注册
|
||||
def route(request: gr.Request, k, *args, **kwargs):
|
||||
if k in [r"打开插件列表", r"请先从插件列表中选择"]: return
|
||||
yield from ArgsGeneralWrapper(plugins[k]["Function"])(request, *args, **kwargs)
|
||||
click_handle = switchy_bt.click(route,[switchy_bt, *input_combo], output_combo)
|
||||
click_handle.then(on_report_generated, [cookies, file_upload, chatbot], [cookies, file_upload, chatbot]).then(None, [switchy_bt], None, _js=r"(fn)=>on_plugin_exe_complete(fn)")
|
||||
cancel_handles.append(click_handle)
|
||||
# 终止按钮的回调函数注册
|
||||
stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
|
||||
stopBtn2.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
|
||||
plugins_as_btn = {name:plugin for name, plugin in plugins.items() if plugin.get('Button', None)}
|
||||
def on_group_change(group_list):
|
||||
btn_list = []
|
||||
fns_list = []
|
||||
if not group_list: # 处理特殊情况：没有选择任何插件组
|
||||
return [*[plugin['Button'].update(visible=False) for _, plugin in plugins_as_btn.items()], gr.Dropdown.update(choices=[])]
|
||||
for k, plugin in plugins.items():
|
||||
if plugin.get("AsButton", True):
|
||||
btn_list.append(plugin['Button'].update(visible=match_group(plugin['Group'], group_list))) # 刷新按钮
|
||||
if plugin.get('AdvancedArgs', False): dropdown_fn_list.append(k) # 对于需要高级参数的插件，亦在下拉菜单中显示
|
||||
elif match_group(plugin['Group'], group_list): fns_list.append(k) # 刷新下拉列表
|
||||
return [*btn_list, gr.Dropdown.update(choices=fns_list)]
|
||||
plugin_group_sel.select(fn=on_group_change, inputs=[plugin_group_sel], outputs=[*[plugin['Button'] for name, plugin in plugins_as_btn.items()], dropdown])
|
||||
if ENABLE_AUDIO:
|
||||
from crazy_functions.live_audio.audio_io import RealtimeAudioDistribution
|
||||
rad = RealtimeAudioDistribution()
|
||||
def deal_audio(audio, cookies):
|
||||
rad.feed(cookies['uuid'].hex, audio)
|
||||
audio_mic.stream(deal_audio, inputs=[audio_mic, cookies])
|
||||
|
||||
|
||||
app_block.load(assign_user_uuid, inputs=[cookies], outputs=[cookies])
|
||||
|
||||
from shared_utils.cookie_manager import load_web_cookie_cache__fn_builder
|
||||
load_web_cookie_cache = load_web_cookie_cache__fn_builder(customize_btns, cookies, predefined_btns)
|
||||
app_block.load(load_web_cookie_cache, inputs = [web_cookie_cache, cookies],
|
||||
outputs = [web_cookie_cache, cookies, *customize_btns.values(), *predefined_btns.values()], _js=js_code_for_persistent_cookie_init)
|
||||
|
||||
app_block.load(None, inputs=[], outputs=None, _js=f"""()=>GptAcademicJavaScriptInit("{DARK_MODE}","{INIT_SYS_PROMPT}","{ADD_WAIFU}","{LAYOUT}","{TTS_TYPE}")""") # 配置暗色主题或亮色主题
|
||||
|
||||
# gradio的inbrowser触发不太稳定，回滚代码到原始的浏览器打开函数
|
||||
def run_delayed_tasks():
|
||||
import threading, webbrowser, time
|
||||
print(f"如果浏览器没有自动打开，请复制并转到以下URL：")
|
||||
if DARK_MODE: print(f"\t「暗色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
|
||||
else: print(f"\t「亮色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
|
||||
|
||||
def auto_updates(): time.sleep(0); auto_update()
|
||||
def open_browser(): time.sleep(2); webbrowser.open_new_tab(f"http://localhost:{PORT}")
|
||||
def warm_up_mods(): time.sleep(6); warm_up_modules()
|
||||
|
||||
threading.Thread(target=auto_updates, name="self-upgrade", daemon=True).start() # 查看自动更新
|
||||
threading.Thread(target=open_browser, name="open-browser", daemon=True).start() # 打开浏览器页面
|
||||
threading.Thread(target=warm_up_mods, name="warm-up", daemon=True).start() # 预热tiktoken模块
|
||||
|
||||
# 运行一些异步任务：自动更新、打开浏览器页面、预热tiktoken模块
|
||||
run_delayed_tasks()
|
||||
|
||||
# 最后，正式开始服务
|
||||
from shared_utils.fastapi_server import start_app
|
||||
start_app(app_block, CONCURRENT_COUNT, AUTHENTICATION, PORT, SSL_KEYFILE, SSL_CERTFILE)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
import os, json; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
|
||||
|
||||
help_menu_description = \
|
||||
"""Github源代码开源和更新[地址🚀](https://github.com/binary-husky/gpt_academic),
|
||||
感谢热情的[开发者们❤️](https://github.com/binary-husky/gpt_academic/graphs/contributors).
|
||||
</br></br>常见问题请查阅[项目Wiki](https://github.com/binary-husky/gpt_academic/wiki),
|
||||
如遇到Bug请前往[Bug反馈](https://github.com/binary-husky/gpt_academic/issues).
|
||||
</br></br>普通对话使用说明: 1. 输入问题; 2. 点击提交
|
||||
</br></br>基础功能区使用说明: 1. 输入文本; 2. 点击任意基础功能区按钮
|
||||
</br></br>函数插件区使用说明: 1. 输入路径/问题, 或者上传文件; 2. 点击任意函数插件区按钮
|
||||
</br></br>虚空终端使用说明: 点击虚空终端, 然后根据提示输入指令, 再次点击虚空终端
|
||||
</br></br>如何保存对话: 点击保存当前的对话按钮
|
||||
</br></br>如何语音对话: 请阅读Wiki
|
||||
</br></br>如何临时更换API_KEY: 在输入区输入临时API_KEY后提交（网页刷新后失效）"""
|
||||
|
||||
def enable_log(PATH_LOGGING):
|
||||
import logging
|
||||
admin_log_path = os.path.join(PATH_LOGGING, "admin")
|
||||
os.makedirs(admin_log_path, exist_ok=True)
|
||||
log_dir = os.path.join(admin_log_path, "chat_secrets.log")
|
||||
try:logging.basicConfig(filename=log_dir, level=logging.INFO, encoding="utf-8", format="%(asctime)s %(levelname)-8s %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
|
||||
except:logging.basicConfig(filename=log_dir, level=logging.INFO, format="%(asctime)s %(levelname)-8s %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
|
||||
# Disable logging output from the 'httpx' logger
|
||||
logging.getLogger("httpx").setLevel(logging.WARNING)
|
||||
print(f"所有对话记录将自动保存在本地目录{log_dir}, 请注意自我隐私保护哦！")
|
||||
|
||||
def main():
|
||||
import gradio as gr
|
||||
if gr.__version__ not in ['3.32.9', '3.32.10']:
|
||||
raise ModuleNotFoundError("使用项目内置Gradio获取最优体验! 请运行 `pip install -r requirements.txt` 指令安装内置Gradio及其他依赖, 详情信息见requirements.txt.")
|
||||
from request_llms.bridge_all import predict
|
||||
from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith
|
||||
# 建议您复制一个config_private.py放自己的秘密, 如API和代理网址
|
||||
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION = get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION')
|
||||
CHATBOT_HEIGHT, LAYOUT, AVAIL_LLM_MODELS, AUTO_CLEAR_TXT = get_conf('CHATBOT_HEIGHT', 'LAYOUT', 'AVAIL_LLM_MODELS', 'AUTO_CLEAR_TXT')
|
||||
ENABLE_AUDIO, AUTO_CLEAR_TXT, PATH_LOGGING, AVAIL_THEMES, THEME, ADD_WAIFU = get_conf('ENABLE_AUDIO', 'AUTO_CLEAR_TXT', 'PATH_LOGGING', 'AVAIL_THEMES', 'THEME', 'ADD_WAIFU')
|
||||
NUM_CUSTOM_BASIC_BTN, SSL_KEYFILE, SSL_CERTFILE = get_conf('NUM_CUSTOM_BASIC_BTN', 'SSL_KEYFILE', 'SSL_CERTFILE')
|
||||
DARK_MODE, INIT_SYS_PROMPT, ADD_WAIFU, TTS_TYPE = get_conf('DARK_MODE', 'INIT_SYS_PROMPT', 'ADD_WAIFU', 'TTS_TYPE')
|
||||
if LLM_MODEL not in AVAIL_LLM_MODELS: AVAIL_LLM_MODELS += [LLM_MODEL]
|
||||
|
||||
# 如果WEB_PORT是-1, 则随机选取WEB端口
|
||||
PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
|
||||
from check_proxy import get_current_version
|
||||
from themes.theme import adjust_theme, advanced_css, theme_declaration, js_code_clear, js_code_reset, js_code_show_or_hide, js_code_show_or_hide_group2
|
||||
from themes.theme import js_code_for_css_changing, js_code_for_toggle_darkmode, js_code_for_persistent_cookie_init
|
||||
from themes.theme import load_dynamic_theme, to_cookie_str, from_cookie_str, assign_user_uuid
|
||||
title_html = f"<h1 align=\"center\">GPT 学术优化 {get_current_version()}</h1>{theme_declaration}"
|
||||
|
||||
# 对话、日志记录
|
||||
enable_log(PATH_LOGGING)
|
||||
|
||||
# 一些普通功能模块
|
||||
from core_functional import get_core_functions
|
||||
functional = get_core_functions()
|
||||
|
||||
# 高级函数插件
|
||||
from crazy_functional import get_crazy_functions
|
||||
DEFAULT_FN_GROUPS = get_conf('DEFAULT_FN_GROUPS')
|
||||
plugins = get_crazy_functions()
|
||||
all_plugin_groups = list(set([g for _, plugin in plugins.items() for g in plugin['Group'].split('|')]))
|
||||
match_group = lambda tags, groups: any([g in groups for g in tags.split('|')])
|
||||
|
||||
# 处理markdown文本格式的转变
|
||||
gr.Chatbot.postprocess = format_io
|
||||
|
||||
# 做一些外观色彩上的调整
|
||||
set_theme = adjust_theme()
|
||||
|
||||
# 代理与自动更新
|
||||
from check_proxy import check_proxy, auto_update, warm_up_modules
|
||||
proxy_info = check_proxy(proxies)
|
||||
|
||||
gr_L1 = lambda: gr.Row().style()
|
||||
gr_L2 = lambda scale, elem_id: gr.Column(scale=scale, elem_id=elem_id, min_width=400)
|
||||
if LAYOUT == "TOP-DOWN":
|
||||
gr_L1 = lambda: DummyWith()
|
||||
gr_L2 = lambda scale, elem_id: gr.Row()
|
||||
CHATBOT_HEIGHT /= 2
|
||||
|
||||
cancel_handles = []
|
||||
customize_btns = {}
|
||||
predefined_btns = {}
|
||||
from shared_utils.cookie_manager import make_cookie_cache, make_history_cache
|
||||
with gr.Blocks(title="GPT 学术优化", theme=set_theme, analytics_enabled=False, css=advanced_css) as app_block:
|
||||
gr.HTML(title_html)
|
||||
secret_css = gr.Textbox(visible=False, elem_id="secret_css")
|
||||
|
||||
|
||||
cookies, web_cookie_cache = make_cookie_cache() # 定义 后端state（cookies）、前端（web_cookie_cache）两兄弟
|
||||
with gr_L1():
|
||||
with gr_L2(scale=2, elem_id="gpt-chat"):
|
||||
chatbot = gr.Chatbot(label=f"当前模型：{LLM_MODEL}", elem_id="gpt-chatbot")
|
||||
if LAYOUT == "TOP-DOWN": chatbot.style(height=CHATBOT_HEIGHT)
|
||||
history, history_cache, history_cache_update = make_history_cache() # 定义 后端state（history）、前端（history_cache）、后端setter（history_cache_update）三兄弟
|
||||
with gr_L2(scale=1, elem_id="gpt-panel"):
|
||||
with gr.Accordion("输入区", open=True, elem_id="input-panel") as area_input_primary:
|
||||
with gr.Row():
|
||||
txt = gr.Textbox(show_label=False, placeholder="Input question here.", elem_id='user_input_main').style(container=False)
|
||||
with gr.Row():
|
||||
submitBtn = gr.Button("提交", elem_id="elem_submit", variant="primary")
|
||||
with gr.Row():
|
||||
resetBtn = gr.Button("重置", elem_id="elem_reset", variant="secondary"); resetBtn.style(size="sm")
|
||||
stopBtn = gr.Button("停止", elem_id="elem_stop", variant="secondary"); stopBtn.style(size="sm")
|
||||
clearBtn = gr.Button("清除", elem_id="elem_clear", variant="secondary", visible=False); clearBtn.style(size="sm")
|
||||
if ENABLE_AUDIO:
|
||||
with gr.Row():
|
||||
audio_mic = gr.Audio(source="microphone", type="numpy", elem_id="elem_audio", streaming=True, show_label=False).style(container=False)
|
||||
with gr.Row():
|
||||
status = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {proxy_info}", elem_id="state-panel")
|
||||
|
||||
with gr.Accordion("基础功能区", open=True, elem_id="basic-panel") as area_basic_fn:
|
||||
with gr.Row():
|
||||
for k in range(NUM_CUSTOM_BASIC_BTN):
|
||||
customize_btn = gr.Button("自定义按钮" + str(k+1), visible=False, variant="secondary", info_str=f'基础功能区: 自定义按钮')
|
||||
customize_btn.style(size="sm")
|
||||
customize_btns.update({"自定义按钮" + str(k+1): customize_btn})
|
||||
for k in functional:
|
||||
if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue
|
||||
variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
|
||||
functional[k]["Button"] = gr.Button(k, variant=variant, info_str=f'基础功能区: {k}')
|
||||
functional[k]["Button"].style(size="sm")
|
||||
predefined_btns.update({k: functional[k]["Button"]})
|
||||
with gr.Accordion("函数插件区", open=True, elem_id="plugin-panel") as area_crazy_fn:
|
||||
with gr.Row():
|
||||
gr.Markdown("<small>插件可读取“输入区”文本/路径作为参数（上传文件自动修正路径）</small>")
|
||||
with gr.Row(elem_id="input-plugin-group"):
|
||||
plugin_group_sel = gr.Dropdown(choices=all_plugin_groups, label='', show_label=False, value=DEFAULT_FN_GROUPS,
|
||||
multiselect=True, interactive=True, elem_classes='normal_mut_select').style(container=False)
|
||||
with gr.Row():
|
||||
for k, plugin in plugins.items():
|
||||
if not plugin.get("AsButton", True): continue
|
||||
visible = True if match_group(plugin['Group'], DEFAULT_FN_GROUPS) else False
|
||||
variant = plugins[k]["Color"] if "Color" in plugin else "secondary"
|
||||
info = plugins[k].get("Info", k)
|
||||
plugin['Button'] = plugins[k]['Button'] = gr.Button(k, variant=variant,
|
||||
visible=visible, info_str=f'函数插件区: {info}').style(size="sm")
|
||||
with gr.Row():
|
||||
with gr.Accordion("更多函数插件", open=True):
|
||||
dropdown_fn_list = []
|
||||
for k, plugin in plugins.items():
|
||||
if not match_group(plugin['Group'], DEFAULT_FN_GROUPS): continue
|
||||
if not plugin.get("AsButton", True): dropdown_fn_list.append(k) # 排除已经是按钮的插件
|
||||
elif plugin.get('AdvancedArgs', False): dropdown_fn_list.append(k) # 对于需要高级参数的插件，亦在下拉菜单中显示
|
||||
with gr.Row():
|
||||
dropdown = gr.Dropdown(dropdown_fn_list, value=r"点击这里搜索插件列表", label="", show_label=False).style(container=False)
|
||||
with gr.Row():
|
||||
plugin_advanced_arg = gr.Textbox(show_label=True, label="高级参数输入区", visible=False,
|
||||
placeholder="这里是特殊函数插件的高级参数输入区").style(container=False)
|
||||
with gr.Row():
|
||||
switchy_bt = gr.Button(r"请先从插件列表中选择", variant="secondary").style(size="sm")
|
||||
with gr.Row():
|
||||
with gr.Accordion("点击展开“文件下载区”。", open=False) as area_file_up:
|
||||
file_upload = gr.Files(label="任何文件, 推荐上传压缩文件(zip, tar)", file_count="multiple", elem_id="elem_upload")
|
||||
|
||||
with gr.Floating(init_x="0%", init_y="0%", visible=True, width=None, drag="forbidden", elem_id="tooltip"):
|
||||
with gr.Row():
|
||||
with gr.Tab("上传文件", elem_id="interact-panel"):
|
||||
gr.Markdown("请上传本地文件/压缩包供“函数插件区”功能调用。请注意: 上传文件后会自动把输入区修改为相应路径。")
|
||||
file_upload_2 = gr.Files(label="任何文件, 推荐上传压缩文件(zip, tar)", file_count="multiple", elem_id="elem_upload_float")
|
||||
|
||||
with gr.Tab("更换模型", elem_id="interact-panel"):
|
||||
md_dropdown = gr.Dropdown(AVAIL_LLM_MODELS, value=LLM_MODEL, elem_id="elem_model_sel", label="更换LLM模型/请求源").style(container=False)
|
||||
top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
|
||||
temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature", elem_id="elem_temperature")
|
||||
max_length_sl = gr.Slider(minimum=256, maximum=1024*32, value=4096, step=128, interactive=True, label="Local LLM MaxLength",)
|
||||
system_prompt = gr.Textbox(show_label=True, lines=2, placeholder=f"System Prompt", label="System prompt", value=INIT_SYS_PROMPT, elem_id="elem_prompt")
|
||||
temperature.change(None, inputs=[temperature], outputs=None,
|
||||
_js="""(temperature)=>gpt_academic_gradio_saveload("save", "elem_prompt", "js_temperature_cookie", temperature)""")
|
||||
system_prompt.change(None, inputs=[system_prompt], outputs=None,
|
||||
_js="""(system_prompt)=>gpt_academic_gradio_saveload("save", "elem_prompt", "js_system_prompt_cookie", system_prompt)""")
|
||||
md_dropdown.change(None, inputs=[md_dropdown], outputs=None,
|
||||
_js="""(md_dropdown)=>gpt_academic_gradio_saveload("save", "elem_model_sel", "js_md_dropdown_cookie", md_dropdown)""")
|
||||
|
||||
with gr.Tab("界面外观", elem_id="interact-panel"):
|
||||
theme_dropdown = gr.Dropdown(AVAIL_THEMES, value=THEME, label="更换UI主题").style(container=False)
|
||||
checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "浮动输入区", "输入清除键", "插件参数区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区", elem_id='cbs').style(container=False)
|
||||
opt = ["自定义菜单"]
|
||||
value=[]
|
||||
if ADD_WAIFU: opt += ["添加Live2D形象"]; value += ["添加Live2D形象"]
|
||||
checkboxes_2 = gr.CheckboxGroup(opt, value=value, label="显示/隐藏自定义菜单", elem_id='cbsc').style(container=False)
|
||||
dark_mode_btn = gr.Button("切换界面明暗 ☀", variant="secondary").style(size="sm")
|
||||
dark_mode_btn.click(None, None, None, _js=js_code_for_toggle_darkmode)
|
||||
with gr.Tab("帮助", elem_id="interact-panel"):
|
||||
gr.Markdown(help_menu_description)
|
||||
|
||||
with gr.Floating(init_x="20%", init_y="50%", visible=False, width="40%", drag="top") as area_input_secondary:
|
||||
with gr.Accordion("浮动输入区", open=True, elem_id="input-panel2"):
|
||||
with gr.Row() as row:
|
||||
row.style(equal_height=True)
|
||||
with gr.Column(scale=10):
|
||||
txt2 = gr.Textbox(show_label=False, placeholder="Input question here.",
|
||||
elem_id='user_input_float', lines=8, label="输入区2").style(container=False)
|
||||
with gr.Column(scale=1, min_width=40):
|
||||
submitBtn2 = gr.Button("提交", variant="primary"); submitBtn2.style(size="sm")
|
||||
resetBtn2 = gr.Button("重置", variant="secondary"); resetBtn2.style(size="sm")
|
||||
stopBtn2 = gr.Button("停止", variant="secondary"); stopBtn2.style(size="sm")
|
||||
clearBtn2 = gr.Button("清除", elem_id="elem_clear2", variant="secondary", visible=False); clearBtn2.style(size="sm")
|
||||
|
||||
|
||||
with gr.Floating(init_x="20%", init_y="50%", visible=False, width="40%", drag="top") as area_customize:
|
||||
with gr.Accordion("自定义菜单", open=True, elem_id="edit-panel"):
|
||||
with gr.Row() as row:
|
||||
with gr.Column(scale=10):
|
||||
AVAIL_BTN = [btn for btn in customize_btns.keys()] + [k for k in functional]
|
||||
basic_btn_dropdown = gr.Dropdown(AVAIL_BTN, value="自定义按钮1", label="选择一个需要自定义基础功能区按钮").style(container=False)
|
||||
basic_fn_title = gr.Textbox(show_label=False, placeholder="输入新按钮名称", lines=1).style(container=False)
|
||||
basic_fn_prefix = gr.Textbox(show_label=False, placeholder="输入新提示前缀", lines=4).style(container=False)
|
||||
basic_fn_suffix = gr.Textbox(show_label=False, placeholder="输入新提示后缀", lines=4).style(container=False)
|
||||
with gr.Column(scale=1, min_width=70):
|
||||
basic_fn_confirm = gr.Button("确认并保存", variant="primary"); basic_fn_confirm.style(size="sm")
|
||||
basic_fn_clean = gr.Button("恢复默认", variant="primary"); basic_fn_clean.style(size="sm")
|
||||
|
||||
from shared_utils.cookie_manager import assign_btn__fn_builder
|
||||
assign_btn = assign_btn__fn_builder(customize_btns, predefined_btns, cookies, web_cookie_cache)
|
||||
# update btn
|
||||
h = basic_fn_confirm.click(assign_btn, [web_cookie_cache, cookies, basic_btn_dropdown, basic_fn_title, basic_fn_prefix, basic_fn_suffix],
|
||||
[web_cookie_cache, cookies, *customize_btns.values(), *predefined_btns.values()])
|
||||
h.then(None, [web_cookie_cache], None, _js="""(web_cookie_cache)=>{setCookie("web_cookie_cache", web_cookie_cache, 365);}""")
|
||||
# clean up btn
|
||||
h2 = basic_fn_clean.click(assign_btn, [web_cookie_cache, cookies, basic_btn_dropdown, basic_fn_title, basic_fn_prefix, basic_fn_suffix, gr.State(True)],
|
||||
[web_cookie_cache, cookies, *customize_btns.values(), *predefined_btns.values()])
|
||||
h2.then(None, [web_cookie_cache], None, _js="""(web_cookie_cache)=>{setCookie("web_cookie_cache", web_cookie_cache, 365);}""")
|
||||
|
||||
|
||||
|
||||
# 功能区显示开关与功能区的互动
|
||||
def fn_area_visibility(a):
|
||||
ret = {}
|
||||
ret.update({area_input_primary: gr.update(visible=("浮动输入区" not in a))})
|
||||
ret.update({area_input_secondary: gr.update(visible=("浮动输入区" in a))})
|
||||
ret.update({plugin_advanced_arg: gr.update(visible=("插件参数区" in a))})
|
||||
if "浮动输入区" in a: ret.update({txt: gr.update(value="")})
|
||||
return ret
|
||||
checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn, area_input_primary, area_input_secondary, txt, txt2, plugin_advanced_arg] )
|
||||
checkboxes.select(None, [checkboxes], None, _js=js_code_show_or_hide)
|
||||
|
||||
# 功能区显示开关与功能区的互动
|
||||
def fn_area_visibility_2(a):
|
||||
ret = {}
|
||||
ret.update({area_customize: gr.update(visible=("自定义菜单" in a))})
|
||||
return ret
|
||||
checkboxes_2.select(fn_area_visibility_2, [checkboxes_2], [area_customize] )
|
||||
checkboxes_2.select(None, [checkboxes_2], None, _js=js_code_show_or_hide_group2)
|
||||
|
||||
# 整理反复出现的控件句柄组合
|
||||
input_combo = [cookies, max_length_sl, md_dropdown, txt, txt2, top_p, temperature, chatbot, history, system_prompt, plugin_advanced_arg]
|
||||
output_combo = [cookies, chatbot, history, status]
|
||||
predict_args = dict(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True)], outputs=output_combo)
|
||||
# 提交按钮、重置按钮
|
||||
cancel_handles.append(txt.submit(**predict_args))
|
||||
cancel_handles.append(txt2.submit(**predict_args))
|
||||
cancel_handles.append(submitBtn.click(**predict_args))
|
||||
cancel_handles.append(submitBtn2.click(**predict_args))
|
||||
resetBtn.click(None, None, [chatbot, history, status], _js=js_code_reset) # 先在前端快速清除chatbot&status
|
||||
resetBtn2.click(None, None, [chatbot, history, status], _js=js_code_reset) # 先在前端快速清除chatbot&status
|
||||
reset_server_side_args = (lambda history: ([], [], "已重置", json.dumps(history)),
|
||||
[history], [chatbot, history, status, history_cache])
|
||||
resetBtn.click(*reset_server_side_args) # 再在后端清除history，把history转存history_cache备用
|
||||
resetBtn2.click(*reset_server_side_args) # 再在后端清除history，把history转存history_cache备用
|
||||
clearBtn.click(None, None, [txt, txt2], _js=js_code_clear)
|
||||
clearBtn2.click(None, None, [txt, txt2], _js=js_code_clear)
|
||||
if AUTO_CLEAR_TXT:
|
||||
submitBtn.click(None, None, [txt, txt2], _js=js_code_clear)
|
||||
submitBtn2.click(None, None, [txt, txt2], _js=js_code_clear)
|
||||
txt.submit(None, None, [txt, txt2], _js=js_code_clear)
|
||||
txt2.submit(None, None, [txt, txt2], _js=js_code_clear)
|
||||
# 基础功能区的回调函数注册
|
||||
for k in functional:
|
||||
if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue
|
||||
click_handle = functional[k]["Button"].click(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True), gr.State(k)], outputs=output_combo)
|
||||
cancel_handles.append(click_handle)
|
||||
for btn in customize_btns.values():
|
||||
click_handle = btn.click(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True), gr.State(btn.value)], outputs=output_combo)
|
||||
cancel_handles.append(click_handle)
|
||||
# 文件上传区，接收文件后与chatbot的互动
|
||||
file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt, txt2, checkboxes, cookies], [chatbot, txt, txt2, cookies]).then(None, None, None, _js=r"()=>{toast_push('上传完毕 ...'); cancel_loading_status();}")
|
||||
file_upload_2.upload(on_file_uploaded, [file_upload_2, chatbot, txt, txt2, checkboxes, cookies], [chatbot, txt, txt2, cookies]).then(None, None, None, _js=r"()=>{toast_push('上传完毕 ...'); cancel_loading_status();}")
|
||||
# 函数插件-固定按钮区
|
||||
for k in plugins:
|
||||
if not plugins[k].get("AsButton", True): continue
|
||||
click_handle = plugins[k]["Button"].click(ArgsGeneralWrapper(plugins[k]["Function"]), [*input_combo], output_combo)
|
||||
click_handle.then(on_report_generated, [cookies, file_upload, chatbot], [cookies, file_upload, chatbot]).then(None, [plugins[k]["Button"]], None, _js=r"(fn)=>on_plugin_exe_complete(fn)")
|
||||
cancel_handles.append(click_handle)
|
||||
# 函数插件-下拉菜单与随变按钮的互动
|
||||
def on_dropdown_changed(k):
|
||||
variant = plugins[k]["Color"] if "Color" in plugins[k] else "secondary"
|
||||
info = plugins[k].get("Info", k)
|
||||
ret = {switchy_bt: gr.update(value=k, variant=variant, info_str=f'函数插件区: {info}')}
|
||||
if plugins[k].get("AdvancedArgs", False): # 是否唤起高级插件参数区
|
||||
ret.update({plugin_advanced_arg: gr.update(visible=True, label=f"插件[{k}]的高级参数说明：" + plugins[k].get("ArgsReminder", [f"没有提供高级参数功能说明"]))})
|
||||
else:
|
||||
ret.update({plugin_advanced_arg: gr.update(visible=False, label=f"插件[{k}]不需要高级参数。")})
|
||||
return ret
|
||||
dropdown.select(on_dropdown_changed, [dropdown], [switchy_bt, plugin_advanced_arg] )
|
||||
|
||||
def on_md_dropdown_changed(k):
|
||||
return {chatbot: gr.update(label="当前模型："+k)}
|
||||
md_dropdown.select(on_md_dropdown_changed, [md_dropdown], [chatbot] )
|
||||
|
||||
def on_theme_dropdown_changed(theme, secret_css):
|
||||
adjust_theme, css_part1, _, adjust_dynamic_theme = load_dynamic_theme(theme)
|
||||
if adjust_dynamic_theme:
|
||||
css_part2 = adjust_dynamic_theme._get_theme_css()
|
||||
else:
|
||||
css_part2 = adjust_theme()._get_theme_css()
|
||||
return css_part2 + css_part1
|
||||
|
||||
theme_handle = theme_dropdown.select(on_theme_dropdown_changed, [theme_dropdown, secret_css], [secret_css])
|
||||
theme_handle.then(
|
||||
None,
|
||||
[secret_css],
|
||||
None,
|
||||
_js=js_code_for_css_changing
|
||||
)
|
||||
# 随变按钮的回调函数注册
|
||||
def route(request: gr.Request, k, *args, **kwargs):
|
||||
if k in [r"点击这里搜索插件列表", r"请先从插件列表中选择"]: return
|
||||
yield from ArgsGeneralWrapper(plugins[k]["Function"])(request, *args, **kwargs)
|
||||
click_handle = switchy_bt.click(route,[switchy_bt, *input_combo], output_combo)
|
||||
click_handle.then(on_report_generated, [cookies, file_upload, chatbot], [cookies, file_upload, chatbot]).then(None, [switchy_bt], None, _js=r"(fn)=>on_plugin_exe_complete(fn)")
|
||||
cancel_handles.append(click_handle)
|
||||
# 终止按钮的回调函数注册
|
||||
stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
|
||||
stopBtn2.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
|
||||
plugins_as_btn = {name:plugin for name, plugin in plugins.items() if plugin.get('Button', None)}
|
||||
def on_group_change(group_list):
|
||||
btn_list = []
|
||||
fns_list = []
|
||||
if not group_list: # 处理特殊情况：没有选择任何插件组
|
||||
return [*[plugin['Button'].update(visible=False) for _, plugin in plugins_as_btn.items()], gr.Dropdown.update(choices=[])]
|
||||
for k, plugin in plugins.items():
|
||||
if plugin.get("AsButton", True):
|
||||
btn_list.append(plugin['Button'].update(visible=match_group(plugin['Group'], group_list))) # 刷新按钮
|
||||
if plugin.get('AdvancedArgs', False): dropdown_fn_list.append(k) # 对于需要高级参数的插件，亦在下拉菜单中显示
|
||||
elif match_group(plugin['Group'], group_list): fns_list.append(k) # 刷新下拉列表
|
||||
return [*btn_list, gr.Dropdown.update(choices=fns_list)]
|
||||
plugin_group_sel.select(fn=on_group_change, inputs=[plugin_group_sel], outputs=[*[plugin['Button'] for name, plugin in plugins_as_btn.items()], dropdown])
|
||||
if ENABLE_AUDIO:
|
||||
from crazy_functions.live_audio.audio_io import RealtimeAudioDistribution
|
||||
rad = RealtimeAudioDistribution()
|
||||
def deal_audio(audio, cookies):
|
||||
rad.feed(cookies['uuid'].hex, audio)
|
||||
audio_mic.stream(deal_audio, inputs=[audio_mic, cookies])
|
||||
|
||||
|
||||
app_block.load(assign_user_uuid, inputs=[cookies], outputs=[cookies])
|
||||
|
||||
from shared_utils.cookie_manager import load_web_cookie_cache__fn_builder
|
||||
load_web_cookie_cache = load_web_cookie_cache__fn_builder(customize_btns, cookies, predefined_btns)
|
||||
app_block.load(load_web_cookie_cache, inputs = [web_cookie_cache, cookies],
|
||||
outputs = [web_cookie_cache, cookies, *customize_btns.values(), *predefined_btns.values()], _js=js_code_for_persistent_cookie_init)
|
||||
|
||||
app_block.load(None, inputs=[], outputs=None, _js=f"""()=>GptAcademicJavaScriptInit("{DARK_MODE}","{INIT_SYS_PROMPT}","{ADD_WAIFU}","{LAYOUT}","{TTS_TYPE}")""") # 配置暗色主题或亮色主题
|
||||
|
||||
# gradio的inbrowser触发不太稳定，回滚代码到原始的浏览器打开函数
|
||||
def run_delayed_tasks():
|
||||
import threading, webbrowser, time
|
||||
print(f"如果浏览器没有自动打开，请复制并转到以下URL：")
|
||||
if DARK_MODE: print(f"\t「暗色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
|
||||
else: print(f"\t「亮色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
|
||||
|
||||
def auto_updates(): time.sleep(0); auto_update()
|
||||
def open_browser(): time.sleep(2); webbrowser.open_new_tab(f"http://localhost:{PORT}")
|
||||
def warm_up_mods(): time.sleep(6); warm_up_modules()
|
||||
|
||||
threading.Thread(target=auto_updates, name="self-upgrade", daemon=True).start() # 查看自动更新
|
||||
threading.Thread(target=warm_up_mods, name="warm-up", daemon=True).start() # 预热tiktoken模块
|
||||
if get_conf('AUTO_OPEN_BROWSER'):
|
||||
threading.Thread(target=open_browser, name="open-browser", daemon=True).start() # 打开浏览器页面
|
||||
|
||||
# 运行一些异步任务：自动更新、打开浏览器页面、预热tiktoken模块
|
||||
run_delayed_tasks()
|
||||
|
||||
# 最后，正式开始服务
|
||||
from shared_utils.fastapi_server import start_app
|
||||
start_app(app_block, CONCURRENT_COUNT, AUTHENTICATION, PORT, SSL_KEYFILE, SSL_CERTFILE)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
||||
@@ -179,6 +179,24 @@ model_info = {
|
||||
"token_cnt": get_token_num_gpt4,
|
||||
},
|
||||
|
||||
"gpt-4o": {
|
||||
"fn_with_ui": chatgpt_ui,
|
||||
"fn_without_ui": chatgpt_noui,
|
||||
"endpoint": openai_endpoint,
|
||||
"max_token": 128000,
|
||||
"tokenizer": tokenizer_gpt4,
|
||||
"token_cnt": get_token_num_gpt4,
|
||||
},
|
||||
|
||||
"gpt-4o-2024-05-13": {
|
||||
"fn_with_ui": chatgpt_ui,
|
||||
"fn_without_ui": chatgpt_noui,
|
||||
"endpoint": openai_endpoint,
|
||||
"max_token": 128000,
|
||||
"tokenizer": tokenizer_gpt4,
|
||||
"token_cnt": get_token_num_gpt4,
|
||||
},
|
||||
|
||||
"gpt-4-turbo-preview": {
|
||||
"fn_with_ui": chatgpt_ui,
|
||||
"fn_without_ui": chatgpt_noui,
|
||||
@@ -971,6 +989,13 @@ if len(AZURE_CFG_ARRAY) > 0:
|
||||
AVAIL_LLM_MODELS += [azure_model_name]
|
||||
|
||||
|
||||
# -=-=-=-=-=-=--=-=-=-=-=-=--=-=-=-=-=-=--=-=-=-=-=-=-=-=
|
||||
# -=-=-=-=-=-=-=-=-=- ☝️ 以上是模型路由 -=-=-=-=-=-=-=-=-=
|
||||
# -=-=-=-=-=-=--=-=-=-=-=-=--=-=-=-=-=-=--=-=-=-=-=-=-=-=
|
||||
|
||||
# -=-=-=-=-=-=--=-=-=-=-=-=--=-=-=-=-=-=--=-=-=-=-=-=-=-=
|
||||
# -=-=-=-=-=-=-= 👇 以下是多模型路由切换函数 -=-=-=-=-=-=-=
|
||||
# -=-=-=-=-=-=--=-=-=-=-=-=--=-=-=-=-=-=--=-=-=-=-=-=-=-=
|
||||
|
||||
|
||||
def LLM_CATCH_EXCEPTION(f):
|
||||
@@ -1007,13 +1032,11 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys
|
||||
model = llm_kwargs['llm_model']
|
||||
n_model = 1
|
||||
if '&' not in model:
|
||||
|
||||
# 如果只询问1个大语言模型：
|
||||
# 如果只询问“一个”大语言模型（多数情况）：
|
||||
method = model_info[model]["fn_without_ui"]
|
||||
return method(inputs, llm_kwargs, history, sys_prompt, observe_window, console_slience)
|
||||
else:
|
||||
|
||||
# 如果同时询问多个大语言模型，这个稍微啰嗦一点，但思路相同，您不必读这个else分支
|
||||
# 如果同时询问“多个”大语言模型，这个稍微啰嗦一点，但思路相同，您不必读这个else分支
|
||||
executor = ThreadPoolExecutor(max_workers=4)
|
||||
models = model.split('&')
|
||||
n_model = len(models)
|
||||
@@ -1066,8 +1089,26 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys
|
||||
res = '<br/><br/>\n\n---\n\n'.join(return_string_collect)
|
||||
return res
|
||||
|
||||
# 根据基础功能区 ModelOverride 参数调整模型类型，用于 `predict` 中
|
||||
import importlib
|
||||
import core_functional
|
||||
def execute_model_override(llm_kwargs, additional_fn, method):
|
||||
functional = core_functional.get_core_functions()
|
||||
if (additional_fn in functional) and 'ModelOverride' in functional[additional_fn]:
|
||||
# 热更新Prompt & ModelOverride
|
||||
importlib.reload(core_functional)
|
||||
functional = core_functional.get_core_functions()
|
||||
model_override = functional[additional_fn]['ModelOverride']
|
||||
if model_override not in model_info:
|
||||
raise ValueError(f"模型覆盖参数 '{model_override}' 指向一个暂不支持的模型，请检查配置文件。")
|
||||
method = model_info[model_override]["fn_with_ui"]
|
||||
llm_kwargs['llm_model'] = model_override
|
||||
return llm_kwargs, additional_fn, method
|
||||
# 默认返回原参数
|
||||
return llm_kwargs, additional_fn, method
|
||||
|
||||
def predict(inputs:str, llm_kwargs:dict, *args, **kwargs):
|
||||
def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot,
|
||||
history:list=[], system_prompt:str='', stream:bool=True, additional_fn:str=None):
|
||||
"""
|
||||
发送至LLM，流式获取输出。
|
||||
用于基础的对话功能。
|
||||
@@ -1086,6 +1127,11 @@ def predict(inputs:str, llm_kwargs:dict, *args, **kwargs):
|
||||
"""
|
||||
|
||||
inputs = apply_gpt_academic_string_mask(inputs, mode="show_llm")
|
||||
method = model_info[llm_kwargs['llm_model']]["fn_with_ui"] # 如果这里报错，检查config中的AVAIL_LLM_MODELS选项
|
||||
yield from method(inputs, llm_kwargs, *args, **kwargs)
|
||||
|
||||
method = model_info[llm_kwargs['llm_model']]["fn_with_ui"] # 如果这里报错，检查config中的AVAIL_LLM_MODELS选项
|
||||
|
||||
if additional_fn: # 根据基础功能区 ModelOverride 参数调整模型类型
|
||||
llm_kwargs, additional_fn, method = execute_model_override(llm_kwargs, additional_fn, method)
|
||||
|
||||
yield from method(inputs, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, stream, additional_fn)
|
||||
|
||||
|
||||
@@ -1,69 +1,69 @@
|
||||
import time
|
||||
from toolbox import update_ui, get_conf, update_ui_lastest_msg
|
||||
from toolbox import check_packages, report_exception
|
||||
|
||||
model_name = '云雀大模型'
|
||||
|
||||
def validate_key():
|
||||
YUNQUE_SECRET_KEY = get_conf("YUNQUE_SECRET_KEY")
|
||||
if YUNQUE_SECRET_KEY == '': return False
|
||||
return True
|
||||
|
||||
def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
|
||||
observe_window:list=[], console_slience:bool=False):
|
||||
"""
|
||||
⭐ 多线程方法
|
||||
函数的说明请见 request_llms/bridge_all.py
|
||||
"""
|
||||
watch_dog_patience = 5
|
||||
response = ""
|
||||
|
||||
if validate_key() is False:
|
||||
raise RuntimeError('请配置YUNQUE_SECRET_KEY')
|
||||
|
||||
from .com_skylark2api import YUNQUERequestInstance
|
||||
sri = YUNQUERequestInstance()
|
||||
for response in sri.generate(inputs, llm_kwargs, history, sys_prompt):
|
||||
if len(observe_window) >= 1:
|
||||
observe_window[0] = response
|
||||
if len(observe_window) >= 2:
|
||||
if (time.time()-observe_window[1]) > watch_dog_patience: raise RuntimeError("程序终止。")
|
||||
return response
|
||||
|
||||
def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=None):
|
||||
"""
|
||||
⭐ 单线程方法
|
||||
函数的说明请见 request_llms/bridge_all.py
|
||||
"""
|
||||
chatbot.append((inputs, ""))
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
|
||||
# 尝试导入依赖，如果缺少依赖，则给出安装建议
|
||||
try:
|
||||
check_packages(["zhipuai"])
|
||||
except:
|
||||
yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。",
|
||||
chatbot=chatbot, history=history, delay=0)
|
||||
return
|
||||
|
||||
if validate_key() is False:
|
||||
yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置HUOSHAN_API_KEY", chatbot=chatbot, history=history, delay=0)
|
||||
return
|
||||
|
||||
if additional_fn is not None:
|
||||
from core_functional import handle_core_functionality
|
||||
inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
|
||||
|
||||
# 开始接收回复
|
||||
from .com_skylark2api import YUNQUERequestInstance
|
||||
sri = YUNQUERequestInstance()
|
||||
response = f"[Local Message] 等待{model_name}响应中 ..."
|
||||
for response in sri.generate(inputs, llm_kwargs, history, system_prompt):
|
||||
chatbot[-1] = (inputs, response)
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
|
||||
# 总结输出
|
||||
if response == f"[Local Message] 等待{model_name}响应中 ...":
|
||||
response = f"[Local Message] {model_name}响应异常 ..."
|
||||
history.extend([inputs, response])
|
||||
import time
|
||||
from toolbox import update_ui, get_conf, update_ui_lastest_msg
|
||||
from toolbox import check_packages, report_exception
|
||||
|
||||
model_name = '云雀大模型'
|
||||
|
||||
def validate_key():
|
||||
YUNQUE_SECRET_KEY = get_conf("YUNQUE_SECRET_KEY")
|
||||
if YUNQUE_SECRET_KEY == '': return False
|
||||
return True
|
||||
|
||||
def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
|
||||
observe_window:list=[], console_slience:bool=False):
|
||||
"""
|
||||
⭐ 多线程方法
|
||||
函数的说明请见 request_llms/bridge_all.py
|
||||
"""
|
||||
watch_dog_patience = 5
|
||||
response = ""
|
||||
|
||||
if validate_key() is False:
|
||||
raise RuntimeError('请配置YUNQUE_SECRET_KEY')
|
||||
|
||||
from .com_skylark2api import YUNQUERequestInstance
|
||||
sri = YUNQUERequestInstance()
|
||||
for response in sri.generate(inputs, llm_kwargs, history, sys_prompt):
|
||||
if len(observe_window) >= 1:
|
||||
observe_window[0] = response
|
||||
if len(observe_window) >= 2:
|
||||
if (time.time()-observe_window[1]) > watch_dog_patience: raise RuntimeError("程序终止。")
|
||||
return response
|
||||
|
||||
def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=None):
|
||||
"""
|
||||
⭐ 单线程方法
|
||||
函数的说明请见 request_llms/bridge_all.py
|
||||
"""
|
||||
chatbot.append((inputs, ""))
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
|
||||
# 尝试导入依赖，如果缺少依赖，则给出安装建议
|
||||
try:
|
||||
check_packages(["zhipuai"])
|
||||
except:
|
||||
yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。",
|
||||
chatbot=chatbot, history=history, delay=0)
|
||||
return
|
||||
|
||||
if validate_key() is False:
|
||||
yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置HUOSHAN_API_KEY", chatbot=chatbot, history=history, delay=0)
|
||||
return
|
||||
|
||||
if additional_fn is not None:
|
||||
from core_functional import handle_core_functionality
|
||||
inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
|
||||
|
||||
# 开始接收回复
|
||||
from .com_skylark2api import YUNQUERequestInstance
|
||||
sri = YUNQUERequestInstance()
|
||||
response = f"[Local Message] 等待{model_name}响应中 ..."
|
||||
for response in sri.generate(inputs, llm_kwargs, history, system_prompt):
|
||||
chatbot[-1] = (inputs, response)
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
|
||||
# 总结输出
|
||||
if response == f"[Local Message] 等待{model_name}响应中 ...":
|
||||
response = f"[Local Message] {model_name}响应异常 ..."
|
||||
history.extend([inputs, response])
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
@@ -1,95 +1,95 @@
|
||||
from toolbox import get_conf
|
||||
import threading
|
||||
import logging
|
||||
import os
|
||||
|
||||
timeout_bot_msg = '[Local Message] Request timeout. Network error.'
|
||||
#os.environ['VOLC_ACCESSKEY'] = ''
|
||||
#os.environ['VOLC_SECRETKEY'] = ''
|
||||
|
||||
class YUNQUERequestInstance():
|
||||
def __init__(self):
|
||||
|
||||
self.time_to_yield_event = threading.Event()
|
||||
self.time_to_exit_event = threading.Event()
|
||||
|
||||
self.result_buf = ""
|
||||
|
||||
def generate(self, inputs, llm_kwargs, history, system_prompt):
|
||||
# import _thread as thread
|
||||
from volcengine.maas import MaasService, MaasException
|
||||
|
||||
maas = MaasService('maas-api.ml-platform-cn-beijing.volces.com', 'cn-beijing')
|
||||
|
||||
YUNQUE_SECRET_KEY, YUNQUE_ACCESS_KEY,YUNQUE_MODEL = get_conf("YUNQUE_SECRET_KEY", "YUNQUE_ACCESS_KEY","YUNQUE_MODEL")
|
||||
maas.set_ak(YUNQUE_ACCESS_KEY) #填写 VOLC_ACCESSKEY
|
||||
maas.set_sk(YUNQUE_SECRET_KEY) #填写 'VOLC_SECRETKEY'
|
||||
|
||||
self.result_buf = ""
|
||||
|
||||
req = {
|
||||
"model": {
|
||||
"name": YUNQUE_MODEL,
|
||||
"version": "1.0", # use default version if not specified.
|
||||
},
|
||||
"parameters": {
|
||||
"max_new_tokens": 4000, # 输出文本的最大tokens限制
|
||||
"min_new_tokens": 1, # 输出文本的最小tokens限制
|
||||
"temperature": llm_kwargs['temperature'], # 用于控制生成文本的随机性和创造性，Temperature值越大随机性越大，取值范围0~1
|
||||
"top_p": llm_kwargs['top_p'], # 用于控制输出tokens的多样性，TopP值越大输出的tokens类型越丰富，取值范围0~1
|
||||
"top_k": 0, # 选择预测值最大的k个token进行采样，取值范围0-1000，0表示不生效
|
||||
"max_prompt_tokens": 4000, # 最大输入 token 数，如果给出的 prompt 的 token 长度超过此限制，取最后 max_prompt_tokens 个 token 输入模型。
|
||||
},
|
||||
"messages": self.generate_message_payload(inputs, llm_kwargs, history, system_prompt)
|
||||
}
|
||||
|
||||
response = maas.stream_chat(req)
|
||||
|
||||
for resp in response:
|
||||
self.result_buf += resp.choice.message.content
|
||||
yield self.result_buf
|
||||
'''
|
||||
for event in response.events():
|
||||
if event.event == "add":
|
||||
self.result_buf += event.data
|
||||
yield self.result_buf
|
||||
elif event.event == "error" or event.event == "interrupted":
|
||||
raise RuntimeError("Unknown error:" + event.data)
|
||||
elif event.event == "finish":
|
||||
yield self.result_buf
|
||||
break
|
||||
else:
|
||||
raise RuntimeError("Unknown error:" + str(event))
|
||||
|
||||
logging.info(f'[raw_input] {inputs}')
|
||||
logging.info(f'[response] {self.result_buf}')
|
||||
'''
|
||||
return self.result_buf
|
||||
|
||||
def generate_message_payload(inputs, llm_kwargs, history, system_prompt):
|
||||
from volcengine.maas import ChatRole
|
||||
conversation_cnt = len(history) // 2
|
||||
messages = [{"role": ChatRole.USER, "content": system_prompt},
|
||||
{"role": ChatRole.ASSISTANT, "content": "Certainly!"}]
|
||||
if conversation_cnt:
|
||||
for index in range(0, 2 * conversation_cnt, 2):
|
||||
what_i_have_asked = {}
|
||||
what_i_have_asked["role"] = ChatRole.USER
|
||||
what_i_have_asked["content"] = history[index]
|
||||
what_gpt_answer = {}
|
||||
what_gpt_answer["role"] = ChatRole.ASSISTANT
|
||||
what_gpt_answer["content"] = history[index + 1]
|
||||
if what_i_have_asked["content"] != "":
|
||||
if what_gpt_answer["content"] == "":
|
||||
continue
|
||||
if what_gpt_answer["content"] == timeout_bot_msg:
|
||||
continue
|
||||
messages.append(what_i_have_asked)
|
||||
messages.append(what_gpt_answer)
|
||||
else:
|
||||
messages[-1]['content'] = what_gpt_answer['content']
|
||||
what_i_ask_now = {}
|
||||
what_i_ask_now["role"] = ChatRole.USER
|
||||
what_i_ask_now["content"] = inputs
|
||||
messages.append(what_i_ask_now)
|
||||
from toolbox import get_conf
|
||||
import threading
|
||||
import logging
|
||||
import os
|
||||
|
||||
timeout_bot_msg = '[Local Message] Request timeout. Network error.'
|
||||
#os.environ['VOLC_ACCESSKEY'] = ''
|
||||
#os.environ['VOLC_SECRETKEY'] = ''
|
||||
|
||||
class YUNQUERequestInstance():
|
||||
def __init__(self):
|
||||
|
||||
self.time_to_yield_event = threading.Event()
|
||||
self.time_to_exit_event = threading.Event()
|
||||
|
||||
self.result_buf = ""
|
||||
|
||||
def generate(self, inputs, llm_kwargs, history, system_prompt):
|
||||
# import _thread as thread
|
||||
from volcengine.maas import MaasService, MaasException
|
||||
|
||||
maas = MaasService('maas-api.ml-platform-cn-beijing.volces.com', 'cn-beijing')
|
||||
|
||||
YUNQUE_SECRET_KEY, YUNQUE_ACCESS_KEY,YUNQUE_MODEL = get_conf("YUNQUE_SECRET_KEY", "YUNQUE_ACCESS_KEY","YUNQUE_MODEL")
|
||||
maas.set_ak(YUNQUE_ACCESS_KEY) #填写 VOLC_ACCESSKEY
|
||||
maas.set_sk(YUNQUE_SECRET_KEY) #填写 'VOLC_SECRETKEY'
|
||||
|
||||
self.result_buf = ""
|
||||
|
||||
req = {
|
||||
"model": {
|
||||
"name": YUNQUE_MODEL,
|
||||
"version": "1.0", # use default version if not specified.
|
||||
},
|
||||
"parameters": {
|
||||
"max_new_tokens": 4000, # 输出文本的最大tokens限制
|
||||
"min_new_tokens": 1, # 输出文本的最小tokens限制
|
||||
"temperature": llm_kwargs['temperature'], # 用于控制生成文本的随机性和创造性，Temperature值越大随机性越大，取值范围0~1
|
||||
"top_p": llm_kwargs['top_p'], # 用于控制输出tokens的多样性，TopP值越大输出的tokens类型越丰富，取值范围0~1
|
||||
"top_k": 0, # 选择预测值最大的k个token进行采样，取值范围0-1000，0表示不生效
|
||||
"max_prompt_tokens": 4000, # 最大输入 token 数，如果给出的 prompt 的 token 长度超过此限制，取最后 max_prompt_tokens 个 token 输入模型。
|
||||
},
|
||||
"messages": self.generate_message_payload(inputs, llm_kwargs, history, system_prompt)
|
||||
}
|
||||
|
||||
response = maas.stream_chat(req)
|
||||
|
||||
for resp in response:
|
||||
self.result_buf += resp.choice.message.content
|
||||
yield self.result_buf
|
||||
'''
|
||||
for event in response.events():
|
||||
if event.event == "add":
|
||||
self.result_buf += event.data
|
||||
yield self.result_buf
|
||||
elif event.event == "error" or event.event == "interrupted":
|
||||
raise RuntimeError("Unknown error:" + event.data)
|
||||
elif event.event == "finish":
|
||||
yield self.result_buf
|
||||
break
|
||||
else:
|
||||
raise RuntimeError("Unknown error:" + str(event))
|
||||
|
||||
logging.info(f'[raw_input] {inputs}')
|
||||
logging.info(f'[response] {self.result_buf}')
|
||||
'''
|
||||
return self.result_buf
|
||||
|
||||
def generate_message_payload(inputs, llm_kwargs, history, system_prompt):
|
||||
from volcengine.maas import ChatRole
|
||||
conversation_cnt = len(history) // 2
|
||||
messages = [{"role": ChatRole.USER, "content": system_prompt},
|
||||
{"role": ChatRole.ASSISTANT, "content": "Certainly!"}]
|
||||
if conversation_cnt:
|
||||
for index in range(0, 2 * conversation_cnt, 2):
|
||||
what_i_have_asked = {}
|
||||
what_i_have_asked["role"] = ChatRole.USER
|
||||
what_i_have_asked["content"] = history[index]
|
||||
what_gpt_answer = {}
|
||||
what_gpt_answer["role"] = ChatRole.ASSISTANT
|
||||
what_gpt_answer["content"] = history[index + 1]
|
||||
if what_i_have_asked["content"] != "":
|
||||
if what_gpt_answer["content"] == "":
|
||||
continue
|
||||
if what_gpt_answer["content"] == timeout_bot_msg:
|
||||
continue
|
||||
messages.append(what_i_have_asked)
|
||||
messages.append(what_gpt_answer)
|
||||
else:
|
||||
messages[-1]['content'] = what_gpt_answer['content']
|
||||
what_i_ask_now = {}
|
||||
what_i_ask_now["role"] = ChatRole.USER
|
||||
what_i_ask_now["content"] = inputs
|
||||
messages.append(what_i_ask_now)
|
||||
return messages
|
||||
@@ -331,6 +331,9 @@ function addCopyButton(botElement, index, is_last_in_arr) {
|
||||
toast_push('正在合成语音 & 自动朗读已开启 (再次点击此按钮可禁用自动朗读)。', 3000);
|
||||
// toast_push('正在合成语音', 3000);
|
||||
const readText = botElement.innerText;
|
||||
prev_chatbot_index = index;
|
||||
prev_text = readText;
|
||||
prev_text_already_pushed = readText;
|
||||
push_text_to_audio(readText);
|
||||
setCookie("js_auto_read_cookie", "True", 365);
|
||||
}
|
||||
@@ -1033,7 +1036,7 @@ async function GptAcademicJavaScriptInit(dark, prompt, live2d, layout, tts) {
|
||||
|
||||
|
||||
function reset_conversation(a, b) {
|
||||
console.log("js_code_reset");
|
||||
// console.log("js_code_reset");
|
||||
a = btoa(unescape(encodeURIComponent(JSON.stringify(a))));
|
||||
setCookie("js_previous_chat_cookie", a, 1);
|
||||
gen_restore_btn();
|
||||
@@ -1173,7 +1176,7 @@ async function on_plugin_exe_complete(fn_name) {
|
||||
// -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
|
||||
// 第 8 部分: TTS语音生成函数
|
||||
// -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
|
||||
|
||||
audio_debug = false;
|
||||
class AudioPlayer {
|
||||
constructor() {
|
||||
this.audioCtx = new (window.AudioContext || window.webkitAudioContext)();
|
||||
@@ -1321,14 +1324,14 @@ function trigger(T, fire) {
|
||||
}
|
||||
|
||||
|
||||
prev_text = "";
|
||||
prev_text_already_pushed = "";
|
||||
prev_text = ""; // previous text, this is used to check chat changes
|
||||
prev_text_already_pushed = ""; // previous text already pushed to audio, this is used to check where we should continue to play audio
|
||||
prev_chatbot_index = -1;
|
||||
const delay_live_text_update = trigger(3000, on_live_stream_terminate);
|
||||
|
||||
function on_live_stream_terminate(latest_text) {
|
||||
// remove `prev_text_already_pushed` from `latest_text`
|
||||
console.log("on_live_stream_terminate", latest_text)
|
||||
if (audio_debug) console.log("on_live_stream_terminate", latest_text);
|
||||
remaining_text = latest_text.slice(prev_text_already_pushed.length);
|
||||
if ((!isEmptyOrWhitespaceOnly(remaining_text)) && remaining_text.length != 0) {
|
||||
prev_text_already_pushed = latest_text;
|
||||
@@ -1393,19 +1396,19 @@ function process_latest_text_output(text, chatbot_index) {
|
||||
delay_live_text_update(text); // in case of no \n or 。 in the text, this timer will finally commit
|
||||
}
|
||||
else if (chatbot_index == prev_chatbot_index && !is_continue) {
|
||||
console.log('---------------------')
|
||||
console.log('text twisting!')
|
||||
console.log('[new message begin]', 'text', text, 'prev_text_already_pushed', prev_text_already_pushed)
|
||||
console.log('---------------------')
|
||||
if (audio_debug) console.log('---------------------');
|
||||
if (audio_debug) console.log('text twisting!');
|
||||
if (audio_debug) console.log('[new message begin]', 'text', text, 'prev_text_already_pushed', prev_text_already_pushed);
|
||||
if (audio_debug) console.log('---------------------');
|
||||
prev_text_already_pushed = "";
|
||||
delay_live_text_update(text); // in case of no \n or 。 in the text, this timer will finally commit
|
||||
}
|
||||
else {
|
||||
// on_new_message_begin, we have to clear `prev_text_already_pushed`
|
||||
console.log('---------------------')
|
||||
console.log('new message begin!')
|
||||
console.log('[new message begin]', 'text', text, 'prev_text_already_pushed', prev_text_already_pushed)
|
||||
console.log('---------------------')
|
||||
if (audio_debug) console.log('---------------------');
|
||||
if (audio_debug) console.log('new message begin!');
|
||||
if (audio_debug) console.log('[new message begin]', 'text', text, 'prev_text_already_pushed', prev_text_already_pushed);
|
||||
if (audio_debug) console.log('---------------------');
|
||||
prev_text_already_pushed = "";
|
||||
process_increased_text(text);
|
||||
delay_live_text_update(text); // in case of no \n or 。 in the text, this timer will finally commit
|
||||
@@ -1433,7 +1436,7 @@ async function push_text_to_audio(text) {
|
||||
// Call the async postData function and log the response
|
||||
post_text(url, payload, send_index);
|
||||
send_index = send_index + 1;
|
||||
console.log(send_index, audio_buf_text)
|
||||
if (audio_debug) console.log(send_index, audio_buf_text);
|
||||
// sleep 2 seconds
|
||||
if (allow_auto_read_tts_flag) {
|
||||
await delay(3000);
|
||||
@@ -1450,10 +1453,10 @@ to_be_processed = [];
|
||||
async function UpdatePlayQueue(cnt, audio_buf_wave) {
|
||||
if (cnt != recv_index) {
|
||||
to_be_processed.push([cnt, audio_buf_wave]);
|
||||
console.log('cache', cnt);
|
||||
if (audio_debug) console.log('cache', cnt);
|
||||
}
|
||||
else {
|
||||
console.log('processing', cnt);
|
||||
if (audio_debug) console.log('processing', cnt);
|
||||
recv_index = recv_index + 1;
|
||||
if (audio_buf_wave) {
|
||||
audioPlayer.enqueueAudio(audio_buf_wave);
|
||||
@@ -1463,7 +1466,7 @@ async function UpdatePlayQueue(cnt, audio_buf_wave) {
|
||||
find_any = false;
|
||||
for (i = to_be_processed.length - 1; i >= 0; i--) {
|
||||
if (to_be_processed[i][0] == recv_index) {
|
||||
console.log('processing cached', recv_index);
|
||||
if (audio_debug) console.log('processing cached', recv_index);
|
||||
if (to_be_processed[i][1]) {
|
||||
audioPlayer.enqueueAudio(to_be_processed[i][1]);
|
||||
}
|
||||
|
||||
在新工单中引用
屏蔽一个用户