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# '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 {
"英语学术润色": {
# 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"Below is a paragraph from an academic paper. Polish the writing to meet the academic style, " +
r"improve the spelling, grammar, clarity, concision and overall readability. When necessary, rewrite the whole sentence. " +
r"Furthermore, list all modification and explain the reasons to do so in markdown table." + "\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
},
"中文学术润色": {
"Prefix": r"作为一名中文学术论文写作改进助理，你的任务是改进所提供文本的拼写、语法、清晰、简洁和整体可读性，" +
r"同时分解长句，减少重复，并提供改进建议。请只提供文本的更正版本，避免包括解释。请编辑以下文本" + "\n\n",
"Suffix": r"",
},
"查找语法错误": {
"Prefix": r"Can you help me ensure that the grammar and the spelling is correct? " +
r"Do not try to polish the text, if no mistake is found, tell me that this paragraph is good." +
r"If you find grammar or spelling mistakes, please list mistakes you find in a two-column markdown table, " +
r"put the original text the first column, " +
r"put the corrected text in the second column and highlight the key words you fixed.""\n"
r"Example:""\n"
r"Paragraph: How is you? Do you knows what is it?""\n"
r"| Original sentence | Corrected sentence |""\n"
r"| :--- | :--- |""\n"
r"| How **is** you? | How **are** you? |""\n"
r"| Do you **knows** what **is** **it**? | Do you **know** what **it** **is** ? |""\n"
r"Below is a paragraph from an academic paper. "
r"You need to report all grammar and spelling mistakes as the example before."
+ "\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"",
},
"学术中英互译": {
"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"",
"Visible": False,
},
"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,
},
"解释代码": {
"Prefix": r"请解释以下代码：" + "\n```\n",
"Suffix": "\n```\n",
},
"参考文献转Bib": {
"Prefix": r"Here are some bibliography items, please transform them into bibtex style." +
r"Note that, reference styles maybe more than one kind, you should transform each item correctly." +
r"Items need to be transformed:",
"Visible": False,
"Suffix": r"",
}
}
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
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