interface with void terminal
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9cbe9f240d
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98
toolbox.py
98
toolbox.py
@ -940,3 +940,101 @@ def Singleton(cls):
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return _instance[cls]
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return _singleton
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"""
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========================================================================
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第四部分
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接驳虚空终端:
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- set_conf: 在运行过程中动态地修改配置
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- set_multi_conf: 在运行过程中动态地修改多个配置
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- get_plugin_handle: 获取插件的句柄
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- get_plugin_default_kwargs: 获取插件的默认参数
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- get_chat_handle: 获取简单聊天的句柄
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- get_chat_default_kwargs: 获取简单聊天的默认参数
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========================================================================
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"""
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def set_conf(key, value):
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from toolbox import read_single_conf_with_lru_cache, get_conf
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read_single_conf_with_lru_cache.cache_clear()
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get_conf.cache_clear()
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os.environ[key] = str(value)
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altered, = get_conf(key)
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return altered
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def set_multi_conf(dic):
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for k, v in dic.items(): set_conf(k, v)
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return
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def get_plugin_handle(plugin_name):
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"""
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e.g. plugin_name = 'crazy_functions.批量Markdown翻译->Markdown翻译指定语言'
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"""
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import importlib
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assert '->' in plugin_name, \
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"Example of plugin_name: crazy_functions.批量Markdown翻译->Markdown翻译指定语言"
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module, fn_name = plugin_name.split('->')
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f_hot_reload = getattr(importlib.import_module(module, fn_name), fn_name)
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return f_hot_reload
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def get_chat_handle():
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"""
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"""
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from request_llm.bridge_all import predict_no_ui_long_connection
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return predict_no_ui_long_connection
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def get_plugin_default_kwargs():
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"""
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"""
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from toolbox import get_conf, ChatBotWithCookies
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WEB_PORT, LLM_MODEL, API_KEY = \
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get_conf('WEB_PORT', 'LLM_MODEL', 'API_KEY')
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llm_kwargs = {
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'api_key': API_KEY,
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'llm_model': LLM_MODEL,
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'top_p':1.0,
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'max_length': None,
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'temperature':1.0,
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}
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chatbot = ChatBotWithCookies(llm_kwargs)
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# txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port
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default_plugin_kwargs = {
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"main_inputs": "./README.md",
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"llm_kwargs": llm_kwargs,
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"plugin_kwargs": {},
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"chatbot_with_cookie": chatbot,
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"history": [],
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"system_prompt": "You are a good AI.",
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"web_port": WEB_PORT
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}
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return default_plugin_kwargs
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def get_chat_default_kwargs():
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"""
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"""
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from toolbox import get_conf
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LLM_MODEL, API_KEY = get_conf('LLM_MODEL', 'API_KEY')
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llm_kwargs = {
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'api_key': API_KEY,
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'llm_model': LLM_MODEL,
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'top_p':1.0,
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'max_length': None,
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'temperature':1.0,
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}
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default_chat_kwargs = {
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"inputs": "Hello there, are you ready?",
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"llm_kwargs": llm_kwargs,
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"history": [],
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"sys_prompt": "You are AI assistant",
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"observe_window": None,
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"console_slience": False,
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}
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return default_chat_kwargs
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