github/bilingual_book_maker
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add document for ollama & fix document format (#411)

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README-CN.md
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@ -27,6 +27,8 @@ bilingual_book_maker 是一个 AI 翻译工具，使用 ChatGPT 帮助用户制
- 可以使用彩云进行翻译 `--model caiyun --caiyun_key ${caiyun_key}`
- 可以使用 Gemini 进行翻译 `--model gemini --gemini_key ${gemini_key}`
- 可以使用腾讯交互翻译(免费)进行翻译`--model tencentransmart`
- 可以使用 [Ollama](https://github.com/ollama/ollama) 自托管模型进行翻译，使用 `--ollama_model ${ollama_model_name}`
- 如果 ollama server 不运行在本地，使用 `--api_base http://x.x.x.x:port/v1` 指向 ollama server 地址
- 使用 `--test` 命令如果大家没付费可以加上这个先看看效果（有 limit 稍微有些慢）
- 使用 `--language` 指定目标语言，例如： `--language "Simplified Chinese"`，预设值为 `"Simplified Chinese"`.
请阅读 helper message 来查找可用的目标语言： `python make_book.py --help`

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README.md
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@ -27,11 +27,14 @@ Find more info here for using liteLLM: https://github.com/BerriAI/litellm/blob/m
- The default underlying model is [GPT-3.5-turbo](https://openai.com/blog/introducing-chatgpt-and-whisper-apis), which is used by ChatGPT currently. Use `--model gpt4` to change the underlying model to `GPT4`.
- Important to note that `gpt-4` is significantly more expensive than `gpt-4-turbo`, but to avoid bumping into rate limits, we automatically balance queries across `gpt-4-1106-preview`, `gpt-4`, `gpt-4-32k`, `gpt-4-0613`,`gpt-4-32k-0613`.
- If you want to use a specific model alias with OpenAI (eg `gpt-4-1106-preview` or `gpt-3.5-turbo-0125`), you can use `--model openai --model_list gpt-4-1106-preview,gpt-3.5-turbo-0125`. `--model_list` takes a comma-separated list of model aliases.
- If using `GPT4`, you can add `--use_context` to add a context paragraph to each passage sent to the model for translation (see below).- support DeepL model [DeepL Translator](https://rapidapi.com/splintPRO/api/dpl-translator) need pay to get the token use `--model deepl --deepl_key ${deepl_key}`
- support DeepL free model `--model deeplfree`
- support Google [Gemini](https://makersuite.google.com/app/apikey) model `--model gemini --gemini_key ${gemini_key}`
- If using `GPT4`, you can add `--use_context` to add a context paragraph to each passage sent to the model for translation (see below).
- Support DeepL model [DeepL Translator](https://rapidapi.com/splintPRO/api/dpl-translator) need pay to get the token use `--model deepl --deepl_key ${deepl_key}`
- Support DeepL free model `--model deeplfree`
- Support Google [Gemini](https://makersuite.google.com/app/apikey) model `--model gemini --gemini_key ${gemini_key}`
- Support [Claude](https://console.anthropic.com/docs) model, use `--model claude --claude_key ${claude_key}`
- Support [Tencent TranSmart](https://transmart.qq.com) model (Free), use `--model tencentransmart`
- Support [Ollama](https://github.com/ollama/ollama) self-host models, use `--ollama_model ${ollama_model_name}`
- If ollama server is not running on localhost, use `--api_base http://x.x.x.x:port/v1` to point to the ollama server address
- Use `--test` option to preview the result if you haven't paid for the service. Note that there is a limit and it may take some time.
- Set the target language like `--language "Simplified Chinese"`. Default target language is `"Simplified Chinese"`.
Read available languages by helper message: `python make_book.py --help`