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add huggingface conf
Browse files- Dockerfile +2 -0
- config_private.py +384 -0
Dockerfile
CHANGED
@@ -9,6 +9,8 @@ WORKDIR /gpt
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RUN git clone https://github.com/binary-husky/gpt_academic.git
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WORKDIR /gpt/gpt_academic
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# 装载项目文件,安装剩余依赖(必要)
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RUN git clone https://github.com/binary-husky/gpt_academic.git
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COPY ./config_private.py /gpt/gpt_academic/config_private.py
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WORKDIR /gpt/gpt_academic
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# 装载项目文件,安装剩余依赖(必要)
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config_private.py
ADDED
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1 |
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"""
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以下所有配置也都支持利用环境变量覆写,环境变量配置格式见docker-compose.yml。
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读取优先级:环境变量 > config_private.py > config.py
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--- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- ---
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All the following configurations also support using environment variables to override,
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and the environment variable configuration format can be seen in docker-compose.yml.
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Configuration reading priority: environment variable > config_private.py > config.py
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"""
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# [step 1]>> API_KEY = "sk-123456789xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx123456789"。极少数情况下,还需要填写组织(格式如org-123456789abcdefghijklmno的),请向下翻,找 API_ORG 设置项
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API_KEY = "此处填API密钥" # 可同时填写多个API-KEY,用英文逗号分割,例如API_KEY = "sk-openaikey1,sk-openaikey2,fkxxxx-api2dkey3,azure-apikey4"
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# [step 2]>> 改为True应用代理,如果直接在海外服务器部署,此处不修改;如果使用本地或无地域限制的大模型时,此处也不需要修改
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USE_PROXY = False
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if USE_PROXY:
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"""
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代理网络的地址,打开你的代理软件查看代理协议(socks5h / http)、地址(localhost)和端口(11284)
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填写格式是 [协议]:// [地址] :[端口],填写之前不要忘记把USE_PROXY改成True,如果直接在海外服务器部署,此处不修改
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<配置教程&视频教程> https://github.com/binary-husky/gpt_academic/issues/1>
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[协议] 常见协议无非socks5h/http; 例如 v2**y 和 ss* 的默认本地协议是socks5h; 而cl**h 的默认本地协议是http
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[地址] 填localhost或者127.0.0.1(localhost意思是代理软件安装在本机上)
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[端口] 在代理软件的设置里找。虽然不同的代理软件界面不一样,但端口号都应该在最显眼的位置上
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"""
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proxies = {
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# [协议]:// [地址] :[端口]
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"http": "socks5h://localhost:11284", # 再例如 "http": "http://127.0.0.1:7890",
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"https": "socks5h://localhost:11284", # 再例如 "https": "http://127.0.0.1:7890",
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}
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else:
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proxies = None
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# [step 3]>> 模型选择是 (注意: LLM_MODEL是默认选中的模型, 它*必须*被包含在AVAIL_LLM_MODELS列表中 )
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LLM_MODEL = "gpt-3.5-turbo-16k" # 可选 ↓↓↓
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AVAIL_LLM_MODELS = ["gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-preview",
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"gpt-3.5-turbo-1106", "gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5",
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"gpt-4", "gpt-4-32k", "azure-gpt-4", "glm-4", "glm-3-turbo",
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"gemini-pro", "chatglm3", "claude-2"]
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# --- --- --- ---
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# P.S. 其他可用的模型还包括
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# AVAIL_LLM_MODELS = [
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# "qianfan", "deepseekcoder",
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# "spark", "sparkv2", "sparkv3", "sparkv3.5",
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# "qwen-turbo", "qwen-plus", "qwen-max", "qwen-local",
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# "moonshot-v1-128k", "moonshot-v1-32k", "moonshot-v1-8k",
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# "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-0125"
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# "claude-3-haiku-20240307","claude-3-sonnet-20240229","claude-3-opus-20240229", "claude-2.1", "claude-instant-1.2",
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# "moss", "llama2", "chatglm_onnx", "internlm", "jittorllms_pangualpha", "jittorllms_llama",
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# "yi-34b-chat-0205", "yi-34b-chat-200k"
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# ]
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# --- --- --- ---
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# 此外,为了更灵活地接入one-api多模型管理界面,您还可以在接入one-api时,
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# 使用"one-api-*"前缀直接使用非标准方式接入的模型,例如
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# AVAIL_LLM_MODELS = ["one-api-claude-3-sonnet-20240229(max_token=100000)"]
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# --- --- --- ---
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# --------------- 以下配置可以优化体验 ---------------
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# 重新URL重新定向,实现更换API_URL的作用(高危设置! 常规情况下不要修改! 通过修改此设置,您将把您的API-KEY和对话隐私完全暴露给您设定的中间人!)
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# 格式: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "在这里填写重定向的api.openai.com的URL"}
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# 举例: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "https://reverse-proxy-url/v1/chat/completions"}
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API_URL_REDIRECT = {}
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# 多线程函数插件中,默认允许多少路线程同时访问OpenAI。Free trial users的限制是每分钟3次,Pay-as-you-go users的限制是每分钟3500次
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# 一言以蔽之:免费(5刀)用户填3,OpenAI绑了信用卡的用户可以填 16 或者更高。提高限制请查询:https://platform.openai.com/docs/guides/rate-limits/overview
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DEFAULT_WORKER_NUM = 3
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# 色彩主题, 可选 ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast"]
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# 更多主题, 请查阅Gradio主题商店: https://huggingface.co/spaces/gradio/theme-gallery 可选 ["Gstaff/Xkcd", "NoCrypt/Miku", ...]
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THEME = "Chuanhu-Small-and-Beautiful"
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AVAIL_THEMES = ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast", "Gstaff/Xkcd", "NoCrypt/Miku"]
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# 默认的系统提示词(system prompt)
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INIT_SYS_PROMPT = "Serve me as a writing and programming assistant."
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# 对话窗的高度 (���在LAYOUT="TOP-DOWN"时生效)
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CHATBOT_HEIGHT = 1115
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# 代码高亮
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CODE_HIGHLIGHT = True
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# 窗口布局
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LAYOUT = "LEFT-RIGHT" # "LEFT-RIGHT"(左右布局) # "TOP-DOWN"(上下布局)
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# 暗色模式 / 亮色模式
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DARK_MODE = True
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# 发送请求到OpenAI后,等待多久判定为超时
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TIMEOUT_SECONDS = 30
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# 网页的端口, -1代表随机端口
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WEB_PORT = -1
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# 如果OpenAI不响应(网络卡顿、代理失败、KEY失效),重试的次数限制
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MAX_RETRY = 2
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# 插件分类默认选项
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DEFAULT_FN_GROUPS = ['对话', '编程', '学术', '智能体']
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# 定义界面上“询问多个GPT模型”插件应该使用哪些模型,请从AVAIL_LLM_MODELS中选择,并在不同模型之间用`&`间隔,例如"gpt-3.5-turbo&chatglm3&azure-gpt-4"
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MULTI_QUERY_LLM_MODELS = "gpt-3.5-turbo&chatglm3"
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# 选择本地模型变体(只有当AVAIL_LLM_MODELS包含了对应本地模型时,才会起作用)
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# 如果你选择Qwen系列的模型,那么请在下面的QWEN_MODEL_SELECTION中指定具体的模型
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# 也可以是具体的模型路径
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QWEN_LOCAL_MODEL_SELECTION = "Qwen/Qwen-1_8B-Chat-Int8"
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# 接入通义千问在线大模型 https://dashscope.console.aliyun.com/
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DASHSCOPE_API_KEY = "" # 阿里灵积云API_KEY
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# 百度千帆(LLM_MODEL="qianfan")
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BAIDU_CLOUD_API_KEY = ''
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BAIDU_CLOUD_SECRET_KEY = ''
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BAIDU_CLOUD_QIANFAN_MODEL = 'ERNIE-Bot' # 可选 "ERNIE-Bot-4"(文心大模型4.0), "ERNIE-Bot"(文心一言), "ERNIE-Bot-turbo", "BLOOMZ-7B", "Llama-2-70B-Chat", "Llama-2-13B-Chat", "Llama-2-7B-Chat"
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# 如果使用ChatGLM2微调模型,请把 LLM_MODEL="chatglmft",并在此处指定模型路径
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CHATGLM_PTUNING_CHECKPOINT = "" # 例如"/home/hmp/ChatGLM2-6B/ptuning/output/6b-pt-128-1e-2/checkpoint-100"
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# 本地LLM模型如ChatGLM的执行方式 CPU/GPU
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LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda"
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LOCAL_MODEL_QUANT = "FP16" # 默认 "FP16" "INT4" 启用量化INT4版本 "INT8" 启用量化INT8版本
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# 设置gradio的并行线程数(不需要修改)
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CONCURRENT_COUNT = 100
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# 是否在提交时自动清空输入框
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AUTO_CLEAR_TXT = False
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# 加一个live2d装饰
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ADD_WAIFU = True
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# 设置用户名和密码(不需要修改)(相关功能不稳定,与gradio版本和网络都相关,如果本地使用不建议加这个)
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# [("username", "password"), ("username2", "password2"), ...]
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AUTHENTICATION = []
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# 如果需要在二级路径下运行(常规情况下,不要修改!!)
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# (举例 CUSTOM_PATH = "/gpt_academic",可以让软件运行在 http://ip:port/gpt_academic/ 下。)
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CUSTOM_PATH = "/"
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# HTTPS 秘钥和证书(不需要修改)
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SSL_KEYFILE = ""
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SSL_CERTFILE = ""
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# 极少数情况下,openai的官方KEY需要伴随组织编码(格式如org-xxxxxxxxxxxxxxxxxxxxxxxx)使用
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API_ORG = ""
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# 如果需要使用Slack Claude,使用教程详情见 request_llms/README.md
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SLACK_CLAUDE_BOT_ID = ''
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SLACK_CLAUDE_USER_TOKEN = ''
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# 如果需要使用AZURE(方法一:单个azure模型部署)详情请见额外文档 docs\use_azure.md
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AZURE_ENDPOINT = "https://你亲手写的api名称.openai.azure.com/"
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AZURE_API_KEY = "填入azure openai api的密钥" # 建议直接在API_KEY处填写,该选项即将被弃用
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AZURE_ENGINE = "填入你亲手写的部署名" # 读 docs\use_azure.md
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+
|
183 |
+
|
184 |
+
# 如果需要使用AZURE(方法二:多个azure模型部署+动态切换)详情请见额外文档 docs\use_azure.md
|
185 |
+
AZURE_CFG_ARRAY = {}
|
186 |
+
|
187 |
+
|
188 |
+
# 阿里云实时语音识别 配置难度较高
|
189 |
+
# 参考 https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md
|
190 |
+
ENABLE_AUDIO = False
|
191 |
+
ALIYUN_TOKEN="" # 例如 f37f30e0f9934c34a992f6f64f7eba4f
|
192 |
+
ALIYUN_APPKEY="" # 例如 RoPlZrM88DnAFkZK
|
193 |
+
ALIYUN_ACCESSKEY="" # (无需填写)
|
194 |
+
ALIYUN_SECRET="" # (无需填写)
|
195 |
+
|
196 |
+
|
197 |
+
# 接入讯飞星火大模型 https://console.xfyun.cn/services/iat
|
198 |
+
XFYUN_APPID = "00000000"
|
199 |
+
XFYUN_API_SECRET = "bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb"
|
200 |
+
XFYUN_API_KEY = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
|
201 |
+
|
202 |
+
|
203 |
+
# 接入智谱大模型
|
204 |
+
ZHIPUAI_API_KEY = ""
|
205 |
+
ZHIPUAI_MODEL = "" # 此选项已废弃,不再需要填写
|
206 |
+
|
207 |
+
|
208 |
+
# Claude API KEY
|
209 |
+
ANTHROPIC_API_KEY = ""
|
210 |
+
|
211 |
+
|
212 |
+
# 月之暗面 API KEY
|
213 |
+
MOONSHOT_API_KEY = ""
|
214 |
+
|
215 |
+
|
216 |
+
# 零一万物(Yi Model) API KEY
|
217 |
+
YIMODEL_API_KEY = ""
|
218 |
+
|
219 |
+
|
220 |
+
# Mathpix 拥有执行PDF的OCR功能,但是需要注册账号
|
221 |
+
MATHPIX_APPID = ""
|
222 |
+
MATHPIX_APPKEY = ""
|
223 |
+
|
224 |
+
|
225 |
+
# Mathpix 拥有执行PDF的OCR功能,但是需要注册账号
|
226 |
+
DOC2X_API_KEY = ""
|
227 |
+
|
228 |
+
|
229 |
+
# 自定义API KEY格式
|
230 |
+
CUSTOM_API_KEY_PATTERN = ""
|
231 |
+
|
232 |
+
|
233 |
+
# Google Gemini API-Key
|
234 |
+
GEMINI_API_KEY = ''
|
235 |
+
|
236 |
+
|
237 |
+
# HUGGINGFACE的TOKEN,下载LLAMA时起作用 https://huggingface.co/docs/hub/security-tokens
|
238 |
+
HUGGINGFACE_ACCESS_TOKEN = ""
|
239 |
+
|
240 |
+
|
241 |
+
# GROBID服务器地址(填写多个可以均衡负载),用于高质量地读取PDF文档
|
242 |
+
# 获取方法:复制以下空间https://huggingface.co/spaces/qingxu98/grobid,设为public,然后GROBID_URL = "https://(你的hf用户名如qingxu98)-(你的填写��空间名如grobid).hf.space"
|
243 |
+
GROBID_URLS = [
|
244 |
+
"https://qingxu98-grobid.hf.space","https://qingxu98-grobid2.hf.space","https://qingxu98-grobid3.hf.space",
|
245 |
+
"https://qingxu98-grobid4.hf.space","https://qingxu98-grobid5.hf.space", "https://qingxu98-grobid6.hf.space",
|
246 |
+
"https://qingxu98-grobid7.hf.space", "https://qingxu98-grobid8.hf.space",
|
247 |
+
]
|
248 |
+
|
249 |
+
|
250 |
+
# 是否允许通过自然语言描述修改本页的配置,该功能具有一定的危险性,默认关闭
|
251 |
+
ALLOW_RESET_CONFIG = False
|
252 |
+
|
253 |
+
|
254 |
+
# 在使用AutoGen插件时,是否使用Docker容器运行代码
|
255 |
+
AUTOGEN_USE_DOCKER = False
|
256 |
+
|
257 |
+
|
258 |
+
# 临时的上传文件夹位置,请勿修改
|
259 |
+
PATH_PRIVATE_UPLOAD = "private_upload"
|
260 |
+
|
261 |
+
|
262 |
+
# 日志文件夹的位置,请勿修改
|
263 |
+
PATH_LOGGING = "gpt_log"
|
264 |
+
|
265 |
+
|
266 |
+
# 除了连接OpenAI之外,还有哪些场合允许使用代理,请勿修改
|
267 |
+
WHEN_TO_USE_PROXY = ["Download_LLM", "Download_Gradio_Theme", "Connect_Grobid",
|
268 |
+
"Warmup_Modules", "Nougat_Download", "AutoGen"]
|
269 |
+
|
270 |
+
|
271 |
+
# *实验性功能*: 自动检测并屏蔽失效的KEY,请勿使用
|
272 |
+
BLOCK_INVALID_APIKEY = False
|
273 |
+
|
274 |
+
|
275 |
+
# 启用插件热加载
|
276 |
+
PLUGIN_HOT_RELOAD = False
|
277 |
+
|
278 |
+
|
279 |
+
# 自定义按钮的最大数量限制
|
280 |
+
NUM_CUSTOM_BASIC_BTN = 4
|
281 |
+
|
282 |
+
|
283 |
+
|
284 |
+
"""
|
285 |
+
--------------- 配置关联关系说明 ---------------
|
286 |
+
|
287 |
+
在线大模型配置关联关系示意图
|
288 |
+
│
|
289 |
+
├── "gpt-3.5-turbo" 等openai模型
|
290 |
+
│ ├── API_KEY
|
291 |
+
│ ├── CUSTOM_API_KEY_PATTERN(不常用)
|
292 |
+
│ ├── API_ORG(不常用)
|
293 |
+
│ └── API_URL_REDIRECT(不常用)
|
294 |
+
│
|
295 |
+
├── "azure-gpt-3.5" 等azure模型(单个azure模型,不需要动态切换)
|
296 |
+
│ ├── API_KEY
|
297 |
+
│ ├── AZURE_ENDPOINT
|
298 |
+
│ ├── AZURE_API_KEY
|
299 |
+
│ ├── AZURE_ENGINE
|
300 |
+
│ └── API_URL_REDIRECT
|
301 |
+
│
|
302 |
+
├── "azure-gpt-3.5" 等azure模型(多个azure模型,需要动态切换,高优先级)
|
303 |
+
│ └── AZURE_CFG_ARRAY
|
304 |
+
│
|
305 |
+
├── "spark" 星火认知大模型 spark & sparkv2
|
306 |
+
│ ├── XFYUN_APPID
|
307 |
+
│ ├── XFYUN_API_SECRET
|
308 |
+
│ └── XFYUN_API_KEY
|
309 |
+
│
|
310 |
+
├── "claude-3-opus-20240229" 等claude模型
|
311 |
+
│ └── ANTHROPIC_API_KEY
|
312 |
+
│
|
313 |
+
├── "stack-claude"
|
314 |
+
│ ├── SLACK_CLAUDE_BOT_ID
|
315 |
+
│ └── SLACK_CLAUDE_USER_TOKEN
|
316 |
+
│
|
317 |
+
├── "qianfan" 百度千帆大模型库
|
318 |
+
│ ├── BAIDU_CLOUD_QIANFAN_MODEL
|
319 |
+
│ ├── BAIDU_CLOUD_API_KEY
|
320 |
+
│ └── BAIDU_CLOUD_SECRET_KEY
|
321 |
+
│
|
322 |
+
├── "glm-4", "glm-3-turbo", "zhipuai" 智谱AI大模型
|
323 |
+
│ └── ZHIPUAI_API_KEY
|
324 |
+
│
|
325 |
+
├── "yi-34b-chat-0205", "yi-34b-chat-200k" 等零一万物(Yi Model)大模型
|
326 |
+
│ └── YIMODEL_API_KEY
|
327 |
+
│
|
328 |
+
├── "qwen-turbo" 等通义千问大模型
|
329 |
+
│ └── DASHSCOPE_API_KEY
|
330 |
+
│
|
331 |
+
├── "Gemini"
|
332 |
+
│ └── GEMINI_API_KEY
|
333 |
+
│
|
334 |
+
└── "one-api-...(max_token=...)" 用一种更方便的方式接入one-api多模型管理界面
|
335 |
+
├── AVAIL_LLM_MODELS
|
336 |
+
├── API_KEY
|
337 |
+
└── API_URL_REDIRECT
|
338 |
+
|
339 |
+
|
340 |
+
本地大模型示意图
|
341 |
+
│
|
342 |
+
├── "chatglm3"
|
343 |
+
├── "chatglm"
|
344 |
+
├── "chatglm_onnx"
|
345 |
+
├── "chatglmft"
|
346 |
+
├── "internlm"
|
347 |
+
├── "moss"
|
348 |
+
├── "jittorllms_pangualpha"
|
349 |
+
├── "jittorllms_llama"
|
350 |
+
├── "deepseekcoder"
|
351 |
+
├── "qwen-local"
|
352 |
+
├── RWKV的支持见Wiki
|
353 |
+
└── "llama2"
|
354 |
+
|
355 |
+
|
356 |
+
用户图形界面布局依赖关系示意图
|
357 |
+
│
|
358 |
+
├── CHATBOT_HEIGHT 对话窗的高度
|
359 |
+
├── CODE_HIGHLIGHT 代码高亮
|
360 |
+
├── LAYOUT 窗口布局
|
361 |
+
├── DARK_MODE 暗色模式 / 亮色模式
|
362 |
+
├── DEFAULT_FN_GROUPS 插件分类默认选项
|
363 |
+
├── THEME 色彩主题
|
364 |
+
├── AUTO_CLEAR_TXT 是否在提交时自动清空输入框
|
365 |
+
├── ADD_WAIFU 加一个live2d装饰
|
366 |
+
└── ALLOW_RESET_CONFIG 是否允许通过自然语言描述修改本页的配置,该功能具有一定的危险性
|
367 |
+
|
368 |
+
|
369 |
+
插件在线服务配置依赖关系示意图
|
370 |
+
│
|
371 |
+
├── 语音功能
|
372 |
+
│ ├── ENABLE_AUDIO
|
373 |
+
│ ├── ALIYUN_TOKEN
|
374 |
+
│ ├── ALIYUN_APPKEY
|
375 |
+
│ ├── ALIYUN_ACCESSKEY
|
376 |
+
│ └── ALIYUN_SECRET
|
377 |
+
│
|
378 |
+
└── PDF文档精准解析
|
379 |
+
├── GROBID_URLS
|
380 |
+
├── MATHPIX_APPID
|
381 |
+
└── MATHPIX_APPKEY
|
382 |
+
|
383 |
+
|
384 |
+
"""
|