Spaces:
Running
Running
# '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 | |