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Feat: 支持 Google Gemini Pro 模型 #636

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merged 4 commits into from
Dec 17, 2023
Merged

Feat: 支持 Google Gemini Pro 模型 #636

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d3f401c
feat: 通过 one-api 支持google gemini
RockChinQ Dec 17, 2023
8cfd9e6
chore: 添加配置项说明
RockChinQ Dec 17, 2023
11d3c1e
doc(README.md): 添加模型说明
RockChinQ Dec 17, 2023
d59d579
doc(README.md): 删除 PaLM-2 说明
RockChinQ Dec 17, 2023
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -61,10 +61,11 @@
- HuggingChat, 由[插件](https://github.com/RockChinQ/revLibs)接入, 仅支持英文
- Claude, 由[插件](https://github.com/RockChinQ/revLibs)接入
- Google Bard, 由[插件](https://github.com/RockChinQ/revLibs)接入
- Google Gemini Pro、Azure、Anthropic Claude、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问、360 智脑等官方接口, 通过[One API](https://github.com/songquanpeng/one-api)接入

### 模型聚合平台

- [One API](https://github.com/songquanpeng/one-api), Azure、Anthropic Claude、Google PaLM 2、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问以及 360 智脑等模型的官方接口转换成 OpenAI API 接入，QChatGPT 原生支持，您需要先配置 One API，之后在`config.py`中设置反向代理和`One API`的密钥后使用。
- [One API](https://github.com/songquanpeng/one-api), Azure、Anthropic Claude、Google Gemini Pro、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问以及 360 智脑等模型的官方接口转换成 OpenAI API 接入，QChatGPT 原生支持，您需要先配置 One API，之后在`config.py`中设置反向代理和`One API`的密钥后使用。
- [gpt4free](https://github.com/xtekky/gpt4free), 破解以免费使用多个平台的各种文字模型, 由[插件](https://github.com/RockChinQ/revLibs)接入, 无需鉴权, 稳定性较差。
- [Poe](https://poe.com), 破解免费使用Poe上多个平台的模型, 由[oliverkirk-sudo/ChatPoeBot](https://github.com/oliverkirk-sudo/ChatPoeBot)接入（由于 Poe 上可用的大部分模型现已通过[revLibs插件](https://github.com/RockChinQ/revLubs)或其他方式接入，此插件现已停止维护）。

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1 change: 1 addition & 0 deletions config-template.py
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Expand Up @@ -254,6 +254,7 @@
# "qwen-plus-v1",
# "ERNIE-Bot",
# "ERNIE-Bot-turbo",
# "gemini-pro",
completion_api_params = {
"model": "gpt-3.5-turbo",
"temperature": 0.9, # 数值越低得到的回答越理性，取值范围[0, 1]
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2 changes: 2 additions & 0 deletions pkg/openai/modelmgr.py
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Expand Up @@ -49,6 +49,7 @@
"qwen-plus-v1",
"ERNIE-Bot",
"ERNIE-Bot-turbo",
"gemini-pro",
}

EDIT_MODELS = {
Expand Down Expand Up @@ -90,6 +91,7 @@ def count_chat_completion_tokens(messages: list, model: str) -> int:
"qwen-plus-v1",
"ERNIE-Bot",
"ERNIE-Bot-turbo",
"gemini-pro",
}:
tokens_per_message = 3
tokens_per_name = 1
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