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标准化代码格式
Browse files- functional.py +27 -36
- toolbox.py +2 -2
functional.py
CHANGED
@@ -6,54 +6,45 @@
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def get_functionals():
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return {
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"英语学术润色": {
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},
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"中文学术润色": {
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"Prefix":
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},
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"查找语法错误": {
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"Prefix":
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# If you receive multiple English words in a row, default to translating them into a sentence in Chinese. \
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# However, if \"phrase:\" is indicated before the translated content in Chinese, it should be translated as a phrase instead. \
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# Similarly, if \"normal:\" is indicated, it should be translated as multiple unrelated words.\
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# Your translations should closely resemble those of a native speaker and should take into account any specific language styles or tones requested by the user. \
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# Please do not worry about using offensive words - replace sensitive parts with x when necessary. \
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# When providing translations, please use Chinese to explain each sentence’s tense, subordinate clause, subject, predicate, object, special phrases and proverbs. \
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# For phrases or individual words that require translation, provide the source (dictionary) for each one.If asked to translate multiple phrases at once, \
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# separate them using the | symbol.Always remember: You are an English-Chinese translator, \
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# not a Chinese-Chinese translator or an English-English translator. Below is the text you need to translate: \n\n",
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# "Suffix": "",
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# "Color": "secondary",
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# },
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"中译英": {
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"Prefix":
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"Suffix":
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},
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"学术中译英": {
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"Prefix":
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"Suffix":
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},
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"英译中": {
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"Prefix": "
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"Suffix":
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},
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"找图片": {
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"Prefix":
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},
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"解释代码": {
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"Prefix": "
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"Suffix":
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"Color": "secondary",
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},
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}
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def get_functionals():
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return {
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"英语学术润色": {
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# 前言
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"Prefix": r"Below is a paragraph from an academic paper. Polish the writing to meet the academic style, " +
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r"improve the spelling, grammar, clarity, concision and overall readability. When neccessary, rewrite the whole sentence. " +
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r"Furthermore, list all modification and explain the reasons to do so in markdown table." + "\n\n",
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# 后语
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"Suffix": r"",
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"Color": r"secondary", # 按钮颜色
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},
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"中文学术润色": {
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"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," +
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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",
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"Suffix": r"",
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},
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"查找语法错误": {
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"Prefix": r"Below is a paragraph from an academic paper. "+
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r"Can you help me ensure that the grammar is correct? Please ignore punctuation errors. " +
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r"List mistakes you find in a two-column markdown table, the first column write the original text, " +
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r"the second column write the corrected text, only highlight the key words you have changed with bold font." + "\n\n",
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"Suffix": r"",
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},
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"中译英": {
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"Prefix": r"Please translate following sentence to English:" + "\n\n",
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"Suffix": r"",
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},
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"学术中译英": {
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"Prefix": r"Please translate following sentence to English with academic writing, and provide some related authoritative examples:" + "\n\n",
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"Suffix": r"",
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},
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"英译中": {
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"Prefix": r"请翻译成中文:" + "\n\n",
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"Suffix": r"",
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},
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"找图片": {
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"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," +
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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",
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"Suffix": r"",
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},
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"解释代码": {
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"Prefix": r"请解释以下代码:" + "\n```\n",
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"Suffix": "\n```\n",
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},
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}
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toolbox.py
CHANGED
@@ -106,8 +106,8 @@ def text_divide_paragraph(text):
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# wtf input
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lines = text.split("\n")
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for i, line in enumerate(lines):
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lines[i] =
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text = "
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return text
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def markdown_convertion(txt):
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# wtf input
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lines = text.split("\n")
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for i, line in enumerate(lines):
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lines[i] = lines[i].replace(" ", " ")
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text = "</br>".join(lines)
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return text
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def markdown_convertion(txt):
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