一开始脑抽写了英文文档，现在“翻译”一遍
由于我没有发布工程的经验所以这个文档比较难看，而且部分代码是“陈年代码”，所以它也会显得有点丑。而且可能还有bug，我会慢慢修。
计算token的那部分是我很久之前在百度查到的一篇博客里的，但是很抱歉我不记得这篇博客链接了。我猜测这部分代码来自于https://github.com/cocoa520/Google_TK。
I have little experience of releasing a project so the readme file maybe ugly, QWQ. Since some of the code was written years ago, it also seems ugly. It may also contain many bugs, but I will try to fix them.
The part calculating token comes from a blog in baidu. However, since the original code was finished years ago, I can't find the original article or the original writer right now. I'm sorry for that, but I guess the original code might comes from "https://github.com/cocoa520/Google_TK".
GraGle Planter是用来给你的文本“生草”的工具。
为什么选用谷歌翻译？谷歌娘总之就是非常可爱。
这个项目来自于多年前我做鬼畜的工具，工具原本可以把一个句子翻译成其他语言，然后收集对应语言的tts（Text To Speech）语音。
由于这种方式鬼畜越来越流行，所以我又把工具拿出来增加了一些功能，比如可以分句、还可以在几种语言之间反复横跳——自定义你的生草风格！
GraGle Planter is a tool to make your text grassy("生草").
Why Google? Fly me to the moon!
This is a program originally written to produce 'Autotune Remix' years ago, which originally can automatically translate a sentence into many languages and collect corresponding tts.
Given that it is more and more popular to produce 'Autotune Remix', I add some functions to the program and now it can Get the tts in different languages with several additional functions(see help).
InputFile在下文指代输入文件名
The text you want to plant grass (on)
OutputFile(s)在下文指代输出文件。程序会在InputFile_output文件夹内生成x.txt和x.mp3，x是句子的顺序，如果需要分句（-c被指定），那么就会有1.txt、2.txt...以及对应的mp3，0.txt为合并的文本，最后如果需要合并且正确配置了ffmpeg（-m被指定），那么就会有0.mp3是合并且统一响度的音频。
The Grass-Planter will first create InputFile_output if it does not exist yet
The it will cut the passage into sentences if you choose '-c' and plant grass in order. If the output language support tts, you will get x.mp3(tts result) and x.txt(translated text), otherwise x.txt only. x represents the order of the sentence.
重要请注意生草机不会重新生成一个已存在的txt文件，如果它检测到x.txt已经存在，它就会跳过这一句话，所以如果上次运行没运行完就退出，建议检查最后一句的.mp3和.txt是否完整，最好删掉最后一句的.mp3和.txt以防止漏句子
Important:Please note that the Grass-Planter will not recreate txts, which means if x.txt exists, the Grass-Planter will not plant grass again. So you stopped the Grass-Planter forcely last time, I recommend you check the integrity of the lastest txt file in case of incomplete output file
如果直接用python源代码运行的话，PyExecJS是需要提前用Pip安装的 如果还需要合并音频，那么还需要准备pydub(pip)和ffmpeg(apt)
If you use the python source code, PyExecJS is required. pydub and ffmpeg are only required when -m is on
Use python ggp.py -h or ggp.exe to get help text or read text below(Assuming ggp.py or ggp.exe is the Grass-Planter and you want to plant grass for InputFile)
命令行运行：python ggp.py -h或不带-h获取英文帮助文本
命令行格式
python ggp.py InputFile [-c [separator]] [-i language] [-o language] [-t times | -l languages]
命令行选项
-h -? 或者不带参数
显示帮助文本
-c [seperator]
用seperator（默认是中文句号）把文本分割开来，每一句话（如果不带-c就是整篇文章）不能超过5000字，中文字符算一个字
e.g.
python ggp.py InputFile -c # Use '。'
python ggp.py InputFile -c '.' # Use '.'
python ggp.py InputFile -c '$' # Use '$'
-i language
指定输入语言，默认情况下是自动选择，如果某个文本效果不好可以试试指定语言
请按照下表使用语言代码，例如en ja zh-CN auto
-o language
指定输出语言，默认是中文，如果输出语言不在tts支持范围之内则不会输出tts语音
可以使用ran表示随机语言，随机语言在-o中保证在tts支持范围
-t times
指定生草次数。生草机内部通过“生草链”来完成反复横跳的翻译，比如auto -> en -> zh-CN，生草次数指除了输入输出语言之外中间还有多少语言，这些语言会被随机选择，如果-c被指定，则每一句的中间语言是随机的（一般不同），否则全文采用同种随机语言。
-l languages
指定生草链的中间语言，用英文逗号不带空格分隔这些语言，允许使用ran
如果-t被指定且次数大于零，-l会被忽略
e.g.
"python ggp.py InputFile -l en,ja,ran" will iterate like:
auto -> en -> ha -> (random) -> zh-CN
语言代码见下方
NAME
Gragle Planter - or Grassy Google Planter : to make your text grassy (Plant grass (Chinglish) / 生草)
SYNOPSIS
1. if run with source code:
python ggp.py [-h | -?]
python ggp.py InputFile [-c [separator]] [-i language] [-o language] [-t times | -l languages]
2. if run with compiled executable file:
ggp.exe ......
DESCRIPTION
See readme file
if run with source code, PyExecJS and pydub is required
COMMAND LINE OPTIONS
-h, -? or nothing
Show this help text
-c [separator]
Plant grass for each sentence separately, otherwise plant grass whole passage in one time by default.
THE WHOLE PASSAGE OR SINGLE SENTENCE SHOULD NOT CONTAIN MORE THAN 5000 CHARACTER (a Chinese character only counts once)
Set separator for sentence, otherwise '。' (Chinese dot) is used by default
e.g.
python ggp.py InputFile -c # Use '。'
python ggp.py InputFile -c '.' # Use '.'
python ggp.py InputFile -c '$' # Use '$'
-i language
Set input language, otherwise auto-detect('auto') by default
please use language code(available in translation) in the end of the help text
(Reminder: specify a separator if the text is not in Chinese and you want to plant grass separately)
-o language
Set output language, otherwise zh-CN by default
if the output language is not available in tts, only translation will be output
"ran" is allowed (see description in -l), but only generate tts available language
-t times
Set iteration times, 0 for just tts(),
1 for one iteration time(e.g. zh-CN -> en -> zh-CN) and so on,
the language used in iteration is generated randomly,
otherwise 0 by default
-l languages
(if -t is used and the argument is above zero, -l will be ignored)
Set iteration chain, input language codes separated by ',', no space is allowed.
if you want to have a random language somewhere, just use 'ran'
e.g.
"python ggp.py InputFile -l en,ja,ran" will iterate like:
auto -> en -> ha -> (random) -> zh-CN
-m
Merge mp3 files, require pydub and something related to be installed first
txt files will always be merged into 0.txt no matter -m exists
LANGUAGE CODE
available language in translation: ('auto' can only be input in -i)
{'hi': '印地语', 'ps': '普什图语', 'pt': '葡萄牙语', 'hmn': '苗语'
'hr': '克罗地亚语', 'ht': '海地克里奥尔语', 'hu': '匈牙利语', 'yi': '意第绪语', 'hy': '亚美尼亚语'
'yo': '约鲁巴语', 'id': '印尼语', 'ig': '伊博语', 'af': '布尔语(南非荷兰语)', 'is': '冰岛语',
'it': '意大利语', 'am': '阿姆哈拉语', 'iw': '希伯来语', 'ar': '阿拉伯语', 'ja': '日语',
'az': '阿塞拜疆语', 'zu': '南非祖鲁语', 'ro': '罗马尼亚语', 'ceb': '宿务语', 'be': '白俄罗斯语',
'ru': '俄语', 'bg': '保加利亚语', 'rw': '卢旺达语', 'bn': '孟加拉语', 'jw': '印尼爪哇语',
'bs': '波斯尼亚语', 'sd': '信德语', 'ka': '格鲁吉亚语', 'si': '僧伽罗语', 'sk': '斯洛伐克语',
'sl': '斯洛文尼亚语', 'sm': '萨摩亚语', 'sn': '修纳语', 'so': '索马里语', 'sq': '阿尔巴尼亚语',
'ca': '加泰罗尼亚语', 'sr': '塞尔维亚语', 'kk': '哈萨克语', 'st': '塞索托语', 'km': '高棉语',
'su': '印尼巽他语', 'kn': '卡纳达语', 'sv': '瑞典语', 'ko': '韩语', 'sw': '斯瓦希里语',
'ku': '库尔德语', 'co': '科西嘉语', 'ta': '泰米尔语', 'ky': '吉尔吉斯语', 'cs': '捷克语',
'te': '泰卢固语', 'tg': '塔吉克语', 'th': '泰语', 'la': '拉丁语', 'lb': '卢森堡语', 'cy': '威尔士语',
'tk': '土库曼语', 'tl': '菲律宾语', 'da': '丹麦语', 'tr': '土耳其语', 'tt': '鞑靼语', 'de': '德语',
'lo': '老挝语', 'lt': '立陶宛语', 'lv': '拉脱维亚语', 'zh-CN': '中文', 'ug': '维吾尔语',
'uk': '乌克兰语', 'mg': '马尔加什语', 'mi': '毛利语', 'ur': '乌尔都语', 'mk': '马其顿语',
'ml': '马拉雅拉姆语', 'haw': '夏威夷语', 'mn': '蒙古语', 'mr': '马拉地语', 'uz': '乌兹别克语',
'ms': '马来语', 'mt': '马耳他语', 'el': '希腊语', 'en': '英语', 'eo': '世界语', 'my': '缅甸语',
'es': '西班牙语', 'et': '爱沙尼亚语', 'eu': '巴斯克语', 'vi': '越南语', 'ne': '尼泊尔语',
'fa': '波斯语', 'nl': '荷兰语', 'no': '挪威语', 'fi': '芬兰语', 'ny': '齐切瓦语', 'fr': '法语',
'fy': '弗里西语', 'ga': '爱尔兰语', 'gd': '苏格兰盖尔语', 'or': '奥利亚语', 'gl': '加利西亚语',
'gu': '古吉拉特语', 'xh': '南非科萨语', 'pa': '旁遮普语', 'ha': '豪萨语', 'pl': '波兰语'}
available language in tts:
("sq", "ar", "et", "is", "pl", "bs", "af"
"da", "de", "ru", "fr", "tl", "fi", "km", "ko", "nl", "ca",
"cs", "hr", "la", "lv", "ro", "mr", "ml", "mk", "bn", "my",
"ne", "no", "pt", "ja", "sv", "sr", "si", "eo", "sk", "sw",
"te", "ta", "th", "tr", "cy", "uk", "es", "el", "hu", "hy",
"it", "hi", "su", "id", "jw", "en", "vi", "zh-CN")
AUTHOR
CreeperLKF on Github
LICENSE
GPLv3 Licensed(https://www.gnu.org/licenses/gpl-3.0.html)