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Update config.py
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#343 opened 28 days ago
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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。 读取优先级：环境变量 > config_private.py > config.py --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- All the following configurations also support using environment variables to override, and the environment variable configuration format can be seen in docker-compose.yml. Configuration reading priority: environment variable > config_private.py > config.py """ # [step 1]>> API_KEY = "sk-LoxO1RRnZndMnGQaWfxomJyzoAQCZlN6RcnyT7SUkfau8XWE"。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 API_KEY = "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,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,sk-LoxO1RRnZndMnGQaWfxomJyzoAQCZlN6RcnyT7SUkfau8XWE" # 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" # [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 USE_PROXY = True if USE_PROXY: """ 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) 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 <配置教程&视频教程> https://github.com/binary-husky/gpt_academic/issues/1> [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 [地址] 填localhost或者127.0.0.1（localhost意思是代理软件安装在本机上） [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 """ proxies = { # [协议]:// [地址] :[端口] "http": "http://127.0.0.1:7890", # 再例如 "http": "http://127.0.0.1:7890", "https": "http://127.0.0.1:7890", # 再例如 "https": "http://127.0.0.1:7890", } else: proxies = None # [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 ) LLM_MODEL = "gpt-3.5-turbo-16k" # 可选 ↓↓↓ AVAIL_LLM_MODELS = ["gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-preview", "gpt-3.5-turbo-1106", "gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5", "gpt-4", "gpt-4-32k", "azure-gpt-4", "glm-4", "glm-3-turbo", "gemini-pro", "chatglm3" ] # --- --- --- --- # P.S. 其他可用的模型还包括 # AVAIL_LLM_MODELS = [ # "qianfan", "deepseekcoder", # "spark", "sparkv2", "sparkv3", "sparkv3.5", # "qwen-turbo", "qwen-plus", "qwen-max", "qwen-local", # "moonshot-v1-128k", "moonshot-v1-32k", "moonshot-v1-8k", # "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-0125" # "claude-3-sonnet-20240229","claude-3-opus-20240229", "claude-2.1", "claude-instant-1.2", # "moss", "llama2", "chatglm_onnx", "internlm", "jittorllms_pangualpha", "jittorllms_llama", # "yi-34b-chat-0205", "yi-34b-chat-200k" # ] # --- --- --- --- # 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， # 使用"one-api-*"前缀直接使用非标准方式接入的模型，例如 # AVAIL_LLM_MODELS = ["one-api-claude-3-sonnet-20240229(max_token=100000)"] # --- --- --- --- # --------------- 以下配置可以优化体验 --------------- # 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！） # 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"} # 举例: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "https://reverse-proxy-url/v1/chat/completions"} API_URL_REDIRECT = {} # 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 # 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 DEFAULT_WORKER_NUM = 3 # 色彩主题, 可选 ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast"] # 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", ...] THEME = "Default" AVAIL_THEMES = ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast", "Gstaff/Xkcd", "NoCrypt/Miku"] # 默认的系统提示词（system prompt） INIT_SYS_PROMPT = "Serve me as a writing and programming assistant." # 对话窗的高度 （仅在LAYOUT="TOP-DOWN"时生效） CHATBOT_HEIGHT = 1115 # 代码高亮 CODE_HIGHLIGHT = True # 窗口布局 LAYOUT = "LEFT-RIGHT" # "LEFT-RIGHT"（左右布局） # "TOP-DOWN"（上下布局） # 暗色模式 / 亮色模式 DARK_MODE = True # 发送请求到OpenAI后，等待多久判定为超时 TIMEOUT_SECONDS = 30 # 网页的端口, -1代表随机端口 WEB_PORT = -1 # 如果OpenAI不响应（网络卡顿、代理失败、KEY失效），重试的次数限制 MAX_RETRY = 2 # 插件分类默认选项 DEFAULT_FN_GROUPS = ['对话', '编程', '学术', '智能体'] # 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" MULTI_QUERY_LLM_MODELS = "gpt-3.5-turbo&chatglm3" # 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） # 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 # 也可以是具体的模型路径 QWEN_LOCAL_MODEL_SELECTION = "Qwen/Qwen-1_8B-Chat-Int8" # 接入通义千问在线大模型 https://dashscope.console.aliyun.com/ DASHSCOPE_API_KEY = "" # 阿里灵积云API_KEY # 百度千帆（LLM_MODEL="qianfan"） BAIDU_CLOUD_API_KEY = '' BAIDU_CLOUD_SECRET_KEY = '' 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" # 如果使用ChatGLM2微调模型，请把 LLM_MODEL="chatglmft"，并在此处指定模型路径 CHATGLM_PTUNING_CHECKPOINT = "" # 例如"/home/hmp/ChatGLM2-6B/ptuning/output/6b-pt-128-1e-2/checkpoint-100" # 本地LLM模型如ChatGLM的执行方式 CPU/GPU LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda" LOCAL_MODEL_QUANT = "FP16" # 默认 "FP16" "INT4" 启用量化INT4版本 "INT8" 启用量化INT8版本 # 设置gradio的并行线程数（不需要修改） CONCURRENT_COUNT = 100 # 是否在提交时自动清空输入框 AUTO_CLEAR_TXT = False # 加一个live2d装饰 ADD_WAIFU = False # 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） # [("username", "password"), ("username2", "password2"), ...] AUTHENTICATION = [] # 如果需要在二级路径下运行（常规情况下，不要修改!!）（需要配合修改main.py才能生效!） CUSTOM_PATH = "/" # HTTPS 秘钥和证书（不需要修改） SSL_KEYFILE = "" SSL_CERTFILE = "" # 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 API_ORG = "" # 如果需要使用Slack Claude，使用教程详情见 request_llms/README.md SLACK_CLAUDE_BOT_ID = '' SLACK_CLAUDE_USER_TOKEN = '' # 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 AZURE_ENDPOINT = "https://你亲手写的api名称.openai.azure.com/" 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 AZURE_ENGINE = "填入你亲手写的部署名" # 读 docs\use_azure.md # 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 AZURE_CFG_ARRAY = {} # 阿里云实时语音识别 配置难度较高 # 参考 https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md ENABLE_AUDIO = False ALIYUN_TOKEN="" # 例如 f37f30e0f9934c34a992f6f64f7eba4f ALIYUN_APPKEY="" # 例如 RoPlZrM88DnAFkZK ALIYUN_ACCESSKEY="" # （无需填写） ALIYUN_SECRET="" # （无需填写） # 接入讯飞星火大模型 https://console.xfyun.cn/services/iat XFYUN_APPID = "00000000" XFYUN_API_SECRET = "bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb" XFYUN_API_KEY = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" # 接入智谱大模型 ZHIPUAI_API_KEY = "" ZHIPUAI_MODEL = "" # 此选项已废弃，不再需要填写 # Claude API KEY ANTHROPIC_API_KEY = "" # 月之暗面 API KEY MOONSHOT_API_KEY = "" # 零一万物(Yi Model) API KEY YIMODEL_API_KEY = "" # Mathpix 拥有执行PDF的OCR功能，但是需要注册账号 MATHPIX_APPID = "" MATHPIX_APPKEY = "" # 自定义API KEY格式 CUSTOM_API_KEY_PATTERN = "" # Google Gemini API-Key GEMINI_API_KEY = '' # HUGGINGFACE的TOKEN，下载LLAMA时起作用 https://huggingface.co/docs/hub/security-tokens HUGGINGFACE_ACCESS_TOKEN = "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" # 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 # 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)-(你的填写的空间名如grobid).hf.space" GROBID_URLS = [ "https://qingxu98-grobid.hf.space","https://qingxu98-grobid2.hf.space","https://qingxu98-grobid3.hf.space", "https://qingxu98-grobid4.hf.space","https://qingxu98-grobid5.hf.space", "https://qingxu98-grobid6.hf.space", "https://qingxu98-grobid7.hf.space", "https://qingxu98-grobid8.hf.space", ] # 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 ALLOW_RESET_CONFIG = False # 在使用AutoGen插件时，是否使用Docker容器运行代码 AUTOGEN_USE_DOCKER = False # 临时的上传文件夹位置，请勿修改 PATH_PRIVATE_UPLOAD = "private_upload" # 日志文件夹的位置，请勿修改 PATH_LOGGING = "gpt_log" # 除了连接OpenAI之外，还有哪些场合允许使用代理，请勿修改 WHEN_TO_USE_PROXY = ["Download_LLM", "Download_Gradio_Theme", "Connect_Grobid", "Warmup_Modules", "Nougat_Download", "AutoGen"] # *实验性功能*: 自动检测并屏蔽失效的KEY，请勿使用 BLOCK_INVALID_APIKEY = False # 启用插件热加载 PLUGIN_HOT_RELOAD = False # 自定义按钮的最大数量限制 NUM_CUSTOM_BASIC_BTN = 4 """ --------------- 配置关联关系说明 --------------- 在线大模型配置关联关系示意图 │ ├── "gpt-3.5-turbo" 等openai模型 │ ├── API_KEY │ ├── CUSTOM_API_KEY_PATTERN（不常用） │ ├── API_ORG（不常用） │ └── API_URL_REDIRECT（不常用） │ ├── "azure-gpt-3.5" 等azure模型（单个azure模型，不需要动态切换） │ ├── API_KEY │ ├── AZURE_ENDPOINT │ ├── AZURE_API_KEY │ ├── AZURE_ENGINE │ └── API_URL_REDIRECT │ ├── "azure-gpt-3.5" 等azure模型（多个azure模型，需要动态切换，高优先级） │ └── AZURE_CFG_ARRAY │ ├── "spark" 星火认知大模型 spark & sparkv2 │ ├── XFYUN_APPID │ ├── XFYUN_API_SECRET │ └── XFYUN_API_KEY │ ├── "claude-3-opus-20240229" 等claude模型 │ └── ANTHROPIC_API_KEY │ ├── "stack-claude" │ ├── SLACK_CLAUDE_BOT_ID │ └── SLACK_CLAUDE_USER_TOKEN │ ├── "qianfan" 百度千帆大模型库 │ ├── BAIDU_CLOUD_QIANFAN_MODEL │ ├── BAIDU_CLOUD_API_KEY │ └── BAIDU_CLOUD_SECRET_KEY │ ├── "glm-4", "glm-3-turbo", "zhipuai" 智谱AI大模型 │ └── ZHIPUAI_API_KEY │ ├── "yi-34b-chat-0205", "yi-34b-chat-200k" 等零一万物(Yi Model)大模型 │ └── YIMODEL_API_KEY │ ├── "qwen-turbo" 等通义千问大模型 │ └── DASHSCOPE_API_KEY │ ├── "Gemini" │ └── GEMINI_API_KEY │ └── "one-api-...(max_token=...)" 用一种更方便的方式接入one-api多模型管理界面 ├── AVAIL_LLM_MODELS ├── API_KEY └── API_URL_REDIRECT 本地大模型示意图 │ ├── "chatglm3" ├── "chatglm" ├── "chatglm_onnx" ├── "chatglmft" ├── "internlm" ├── "moss" ├── "jittorllms_pangualpha" ├── "jittorllms_llama" ├── "deepseekcoder" ├── "qwen-local" ├── RWKV的支持见Wiki └── "llama2" 用户图形界面布局依赖关系示意图 │ ├── CHATBOT_HEIGHT 对话窗的高度 ├── CODE_HIGHLIGHT 代码高亮 ├── LAYOUT 窗口布局 ├── DARK_MODE 暗色模式 / 亮色模式 ├── DEFAULT_FN_GROUPS 插件分类默认选项 ├── THEME 色彩主题 ├── AUTO_CLEAR_TXT 是否在提交时自动清空输入框 ├── ADD_WAIFU 加一个live2d装饰 └── 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 插件在线服务配置依赖关系示意图 │ ├── 语音功能 │ ├── ENABLE_AUDIO │ ├── ALIYUN_TOKEN │ ├── ALIYUN_APPKEY │ ├── ALIYUN_ACCESSKEY │ └── ALIYUN_SECRET │ └── PDF文档精准解析 ├── GROBID_URLS ├── MATHPIX_APPID └── MATHPIX_APPKEY """
#342 opened 28 days ago
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JINDUI
JINDUI
Update config.py
#341 opened 28 days ago
by
JINDUI
JINDUI
""" 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。 读取优先级：环境变量 > config_private.py > config.py --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- All the following configurations also support using environment variables to override, and the environment variable configuration format can be seen in docker-compose.yml. Configuration reading priority: environment variable > config_private.py > config.py """ # [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 API_KEY = "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" # 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" # [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 USE_PROXY = True if USE_PROXY: """ 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) 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 <配置教程&视频教程> https://github.com/binary-husky/gpt_academic/issues/1> [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 [地址] 填localhost或者127.0.0.1（localhost意思是代理软件安装在本机上） [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 """ proxies = { # [协议]:// [地址] :[端口] "http": "http://127.0.0.1:7890", # 再例如 "http": "http://127.0.0.1:7890", "https": "http://127.0.0.1:7890", # 再例如 "https": "http://127.0.0.1:7890", } else: proxies = None # ------------------------------------ 以下配置可以优化体验, 但大部分场合下并不需要修改 ------------------------------------ # 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！） # 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"} # 举例: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "https://reverse-proxy-url/v1/chat/completions"} API_URL_REDIRECT = {} # 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 # 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 DEFAULT_WORKER_NUM = 3 # 色彩主题, 可选 ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast"] # 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", ...] THEME = "Chuanhu-Small-and-Beautiful" AVAIL_THEMES = ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast", "Gstaff/Xkcd", "NoCrypt/Miku"] # 默认的系统提示词（system prompt） INIT_SYS_PROMPT = "Serve me as a writing and programming assistant." # 对话窗的高度 （仅在LAYOUT="TOP-DOWN"时生效） CHATBOT_HEIGHT = 1115 # 代码高亮 CODE_HIGHLIGHT = True # 窗口布局 LAYOUT = "LEFT-RIGHT" # "LEFT-RIGHT"（左右布局） # "TOP-DOWN"（上下布局） # 暗色模式 / 亮色模式 DARK_MODE = False # 发送请求到OpenAI后，等待多久判定为超时 TIMEOUT_SECONDS = 30 # 网页的端口, -1代表随机端口 WEB_PORT = -1 # 如果OpenAI不响应（网络卡顿、代理失败、KEY失效），重试的次数限制 MAX_RETRY = 2 # OpenAI模型选择是（gpt4现在只对申请成功的人开放） LLM_MODEL = "gpt-3.5-turbo" # 可选 "chatglm" AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "api2d-gpt-3.5-turbo", "spark", "azure-gpt-3.5"] # 插件分类默认选项 DEFAULT_FN_GROUPS = ['对话', '编程', '学术', '智能体'] # 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 ) LLM_MODEL = "gpt-3.5-turbo-16k" # 可选 ↓↓↓ AVAIL_LLM_MODELS = ["gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-preview", "gpt-3.5-turbo-1106", "gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5", "gpt-4", "gpt-4-32k", "azure-gpt-4", "glm-4", "glm-3-turbo", "gemini-pro", "chatglm3", "claude-2"] # P.S. 其他可用的模型还包括 [ # "moss", "qwen-turbo", "qwen-plus", "qwen-max" # "zhipuai", "qianfan", "deepseekcoder", "llama2", "qwen-local", "gpt-3.5-turbo-0613", # "gpt-3.5-turbo-16k-0613", "gpt-3.5-random", "api2d-gpt-3.5-turbo", 'api2d-gpt-3.5-turbo-16k', # "spark", "sparkv2", "sparkv3", "chatglm_onnx", "claude-1-100k", "claude-2", "internlm", "jittorllms_pangualpha", "jittorllms_llama" # ] # 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" MULTI_QUERY_LLM_MODELS = "gpt-3.5-turbo&chatglm3" # 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） # 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 # 也可以是具体的模型路径 QWEN_LOCAL_MODEL_SELECTION = "Qwen/Qwen-1_8B-Chat-Int8" # 接入通义千问在线大模型 https://dashscope.console.aliyun.com/ DASHSCOPE_API_KEY = "" # 阿里灵积云API_KEY # 百度千帆（LLM_MODEL="qianfan"） BAIDU_CLOUD_API_KEY = '' BAIDU_CLOUD_SECRET_KEY = '' 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" # 如果使用ChatGLM2微调模型，请把 LLM_MODEL="chatglmft"，并在此处指定模型路径 CHATGLM_PTUNING_CHECKPOINT = "" # 例如"/home/hmp/ChatGLM2-6B/ptuning/output/6b-pt-128-1e-2/checkpoint-100" # 本地LLM模型如ChatGLM的执行方式 CPU/GPU LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda" LOCAL_MODEL_QUANT = "FP16" # 默认 "FP16" "INT4" 启用量化INT4版本 "INT8" 启用量化INT8版本 # 设置gradio的并行线程数（不需要修改） CONCURRENT_COUNT = 100 # 是否在提交时自动清空输入框 AUTO_CLEAR_TXT = False # 加一个live2d装饰 ADD_WAIFU = True # 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） # [("username", "password"), ("username2", "password2"), ...] AUTHENTICATION = [] # 如果需要在二级路径下运行（常规情况下，不要修改!!）（需要配合修改main.py才能生效!） CUSTOM_PATH = "/" # HTTPS 秘钥和证书（不需要修改） SSL_KEYFILE = "" SSL_CERTFILE = "" # 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 API_ORG = "" # 如果需要使用Slack Claude，使用教程详情见 request_llms/README.md SLACK_CLAUDE_BOT_ID = '' SLACK_CLAUDE_USER_TOKEN = '' # 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 AZURE_ENDPOINT = "https://你亲手写的api名称.openai.azure.com/" 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 AZURE_ENGINE = "填入你亲手写的部署名" # 读 docs\use_azure.md # 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 AZURE_CFG_ARRAY = {} # 使用Newbing (不推荐使用，未来将删除) NEWBING_STYLE = "creative" # ["creative", "balanced", "precise"] NEWBING_COOKIES = """ put your new bing cookies here """ # 阿里云实时语音识别 配置难度较高 仅建议高手用户使用 参考 https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md ENABLE_AUDIO = False ALIYUN_TOKEN="" # 例如 f37f30e0f9934c34a992f6f64f7eba4f ALIYUN_APPKEY="" # 例如 RoPlZrM88DnAFkZK ALIYUN_ACCESSKEY="" # （无需填写） ALIYUN_SECRET="" # （无需填写） # 接入讯飞星火大模型 https://console.xfyun.cn/services/iat XFYUN_APPID = "00000000" XFYUN_API_SECRET = "bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb" XFYUN_API_KEY = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" # 接入智谱大模型 ZHIPUAI_API_KEY = "" ZHIPUAI_MODEL = "" # 此选项已废弃，不再需要填写 # # 火山引擎YUNQUE大模型 # YUNQUE_SECRET_KEY = "" # YUNQUE_ACCESS_KEY = "" # YUNQUE_MODEL = "" # Claude API KEY ANTHROPIC_API_KEY = "" # Mathpix 拥有执行PDF的OCR功能，但是需要注册账号 MATHPIX_APPID = "" MATHPIX_APPKEY = "" # 自定义API KEY格式 CUSTOM_API_KEY_PATTERN = "" # Google Gemini API-Key GEMINI_API_KEY = '' # HUGGINGFACE的TOKEN，下载LLAMA时起作用 https://huggingface.co/docs/hub/security-tokens HUGGINGFACE_ACCESS_TOKEN = "" # 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 # 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)-(你的填写的空间名如grobid).hf.space" GROBID_URLS = [ "https://qingxu98-grobid.hf.space","https://qingxu98-grobid2.hf.space","https://qingxu98-grobid3.hf.space", "https://qingxu98-grobid4.hf.space","https://qingxu98-grobid5.hf.space", "https://qingxu98-grobid6.hf.space", "https://qingxu98-grobid7.hf.space", "https://qingxu98-grobid8.hf.space", ] # 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 ALLOW_RESET_CONFIG = False # 在使用AutoGen插件时，是否使用Docker容器运行代码 AUTOGEN_USE_DOCKER = False # 临时的上传文件夹位置，请勿修改 PATH_PRIVATE_UPLOAD = "private_upload" # 日志文件夹的位置，请勿修改 PATH_LOGGING = "gpt_log" # 除了连接OpenAI之外，还有哪些场合允许使用代理，请勿修改 WHEN_TO_USE_PROXY = ["Download_LLM", "Download_Gradio_Theme", "Connect_Grobid", "Warmup_Modules", "Nougat_Download", "AutoGen"] # *实验性功能*: 自动检测并屏蔽失效的KEY，请勿使用 BLOCK_INVALID_APIKEY = False # 启用插件热加载 PLUGIN_HOT_RELOAD = False # 自定义按钮的最大数量限制 NUM_CUSTOM_BASIC_BTN = 4 """ 在线大模型配置关联关系示意图 │ ├── "gpt-3.5-turbo" 等openai模型 │ ├── API_KEY │ ├── CUSTOM_API_KEY_PATTERN（不常用） │ ├── API_ORG（不常用） │ └── API_URL_REDIRECT（不常用） │ ├── "azure-gpt-3.5" 等azure模型（单个azure模型，不需要动态切换） │ ├── API_KEY │ ├── AZURE_ENDPOINT │ ├── AZURE_API_KEY │ ├── AZURE_ENGINE │ └── API_URL_REDIRECT │ ├── "azure-gpt-3.5" 等azure模型（多个azure模型，需要动态切换，高优先级） │ └── AZURE_CFG_ARRAY │ ├── "spark" 星火认知大模型 spark & sparkv2 │ ├── XFYUN_APPID │ ├── XFYUN_API_SECRET │ └── XFYUN_API_KEY │ ├── "claude-1-100k" 等claude模型 │ └── ANTHROPIC_API_KEY │ ├── "stack-claude" │ ├── SLACK_CLAUDE_BOT_ID │ └── SLACK_CLAUDE_USER_TOKEN │ ├── "qianfan" 百度千帆大模型库 │ ├── BAIDU_CLOUD_QIANFAN_MODEL │ ├── BAIDU_CLOUD_API_KEY │ └── BAIDU_CLOUD_SECRET_KEY │ ├── "glm-4", "glm-3-turbo", "zhipuai" 智谱AI大模型 │ └── ZHIPUAI_API_KEY │ ├── "qwen-turbo" 等通义千问大模型 │ └── DASHSCOPE_API_KEY │ ├── "Gemini" │ └── GEMINI_API_KEY │ └── "newbing" Newbing接口不再稳定，不推荐使用 ├── NEWBING_STYLE └── NEWBING_COOKIES 本地大模型示意图 │ ├── "chatglm3" ├── "chatglm" ├── "chatglm_onnx" ├── "chatglmft" ├── "internlm" ├── "moss" ├── "jittorllms_pangualpha" ├── "jittorllms_llama" ├── "deepseekcoder" ├── "qwen-local" ├── RWKV的支持见Wiki └── "llama2" 用户图形界面布局依赖关系示意图 │ ├── CHATBOT_HEIGHT 对话窗的高度 ├── CODE_HIGHLIGHT 代码高亮 ├── LAYOUT 窗口布局 ├── DARK_MODE 暗色模式 / 亮色模式 ├── DEFAULT_FN_GROUPS 插件分类默认选项 ├── THEME 色彩主题 ├── AUTO_CLEAR_TXT 是否在提交时自动清空输入框 ├── ADD_WAIFU 加一个live2d装饰 └── 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 插件在线服务配置依赖关系示意图 │ ├── 语音功能 │ ├── ENABLE_AUDIO │ ├── ALIYUN_TOKEN │ ├── ALIYUN_APPKEY │ ├── ALIYUN_ACCESSKEY │ └── ALIYUN_SECRET │ └── PDF文档精准解析 ├── GROBID_URLS ├── MATHPIX_APPID └── MATHPIX_APPKEY """
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请问下为什么API2D的模型提示网络错误
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