# 'primary' 颜色对应 theme.py 中的 primary_hue # 'secondary' 颜色对应 theme.py 中的 neutral_hue # 'stop' 颜色对应 theme.py 中的 color_er import importlib from toolbox import clear_line_break def get_core_functions(): return { "地点信息询问": { # 前缀,会被加在你的输入之前。例如,用来描述你的要求,例如翻译、解释代码、润色等等 "Prefix": r"作为一名中文地理百科助手" + r"请你为我提供我输入的这个地点的所有信息" + "\n\n", # 后缀,会被加在你的输入之后。例如,配合前缀可以把你的输入内容用引号圈起来 "Suffix": r"", # 按钮颜色 (默认 secondary) "Color": r"secondary", # 按钮是否可见 (默认 True,即可见) "Visible": True, # 是否在触发时清除历史 (默认 False,即不处理之前的对话历史) "AutoClearHistory": False }, "路线规划": { "Prefix": r"作为一名中文导游助理" + r"你需要根据我提供的地点和要求为我规划最合理的旅行路线" + "\n\n", "Suffix": r"", }, "图片生成": { "Prefix": r"接下来我会给你提供地点和信息,你根据我提供的地点和信息生成相应的图片 " + r"你需要用Unsplash API,生成markdown格式的图片" + r"遵循以下的格式:https://source.unsplash.com/1600x900/?< PUT YOUR QUERY HERE >。你明白了吗? " + "\n\n", "Suffix": r"", "PreProcess": clear_line_break, # 预处理:清除换行符 }, "中译英": { "Prefix": r"Please translate following sentence to English:" + "\n\n", "Suffix": r"", }, "中英互译": { "Prefix": r"I want you to act as a scientific English-Chinese translator, " + r"I will provide you with some paragraphs in one language " + r"and your task is to accurately and academically translate the paragraphs only into the other language. " + r"Do not repeat the original provided paragraphs after translation. " + r"You should use artificial intelligence tools, " + r"such as natural language processing, and rhetorical knowledge " + r"and experience about effective writing techniques to reply. " + r"I'll give you my paragraphs as follows, tell me what language it is written in, and then translate:" + "\n\n", "Suffix": "", "Color": "secondary", }, "英译中": { "Prefix": r"翻译成地道的中文:" + "\n\n", "Suffix": r"", }, "找图片": { "Prefix": r"我需要你找一张网络图片。使用Unsplash API(https://source.unsplash.com/960x640/?<英语关键词>)获取图片URL," + r"然后请使用Markdown格式封装,并且不要有反斜线,不要用代码块。现在,请按以下描述给我发送图片:" + "\n\n", "Suffix": r"", "Visible": False, } } def handle_core_functionality(additional_fn, inputs, history, chatbot): import core_functional importlib.reload(core_functional) # 热更新prompt core_functional = core_functional.get_core_functions() if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs) # 获取预处理函数(如果有的话) inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"] if core_functional[additional_fn].get("AutoClearHistory", False): history = [] return inputs, history