156 lines
9.8 KiB
YAML
156 lines
9.8 KiB
YAML
#【请修改完参数后，删除此行】请在以下方案中选择一种，然后删除其他的方案，最后docker-compose up运行 | Please choose from one of these options below, delete other options as well as This Line
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## ===================================================
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## 【方案一】 如果不需要运行本地模型（仅chatgpt,newbing类远程服务）
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## ===================================================
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version: '3'
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services:
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gpt_academic_nolocalllms:
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image: ghcr.io/binary-husky/gpt_academic_nolocal:master # (Auto Built by Dockerfile: docs/GithubAction+NoLocal)
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environment:
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# 请查阅 `config.py` 以查看所有的配置信息
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API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx '
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USE_PROXY: ' True '
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proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } '
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LLM_MODEL: ' gpt-3.5-turbo '
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AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "newbing"] '
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WEB_PORT: ' 22303 '
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ADD_WAIFU: ' True '
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# THEME: ' Chuanhu-Small-and-Beautiful '
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# DEFAULT_WORKER_NUM: ' 10 '
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# AUTHENTICATION: ' [("username", "passwd"), ("username2", "passwd2")] '
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# 与宿主的网络融合
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network_mode: "host"
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# 不使用代理网络拉取最新代码
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command: >
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bash -c "python3 -u main.py"
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### ===================================================
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### 【方案二】 如果需要运行ChatGLM + Qwen + MOSS等本地模型
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### ===================================================
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version: '3'
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services:
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gpt_academic_with_chatglm:
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image: ghcr.io/binary-husky/gpt_academic_chatglm_moss:master # (Auto Built by Dockerfile: docs/Dockerfile+ChatGLM)
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environment:
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# 请查阅 `config.py` 以查看所有的配置信息
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API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx '
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USE_PROXY: ' True '
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proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } '
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LLM_MODEL: ' gpt-3.5-turbo '
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AVAIL_LLM_MODELS: ' ["chatglm", "qwen", "moss", "gpt-3.5-turbo", "gpt-4", "newbing"] '
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LOCAL_MODEL_DEVICE: ' cuda '
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DEFAULT_WORKER_NUM: ' 10 '
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WEB_PORT: ' 12303 '
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ADD_WAIFU: ' True '
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# AUTHENTICATION: ' [("username", "passwd"), ("username2", "passwd2")] '
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# 显卡的使用，nvidia0指第0个GPU
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runtime: nvidia
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devices:
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- /dev/nvidia0:/dev/nvidia0
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# 与宿主的网络融合
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network_mode: "host"
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command: >
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bash -c "python3 -u main.py"
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# P.S. 通过对 command 进行微调，可以便捷地安装额外的依赖
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# command: >
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# bash -c "pip install -r request_llm/requirements_qwen.txt && python3 -u main.py"
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### ===================================================
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### 【方案三】 如果需要运行ChatGPT + LLAMA + 盘古 + RWKV本地模型
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### ===================================================
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version: '3'
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services:
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gpt_academic_with_rwkv:
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image: ghcr.io/binary-husky/gpt_academic_jittorllms:master
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environment:
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# 请查阅 `config.py` 以查看所有的配置信息
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API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx '
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USE_PROXY: ' True '
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proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } '
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LLM_MODEL: ' gpt-3.5-turbo '
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AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "newbing", "jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"] '
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LOCAL_MODEL_DEVICE: ' cuda '
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DEFAULT_WORKER_NUM: ' 10 '
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WEB_PORT: ' 12305 '
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ADD_WAIFU: ' True '
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# AUTHENTICATION: ' [("username", "passwd"), ("username2", "passwd2")] '
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# 显卡的使用，nvidia0指第0个GPU
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runtime: nvidia
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devices:
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- /dev/nvidia0:/dev/nvidia0
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# 与宿主的网络融合
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network_mode: "host"
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# 不使用代理网络拉取最新代码
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command: >
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python3 -u main.py
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## ===================================================
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## 【方案四】 ChatGPT + Latex
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## ===================================================
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version: '3'
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services:
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gpt_academic_with_latex:
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image: ghcr.io/binary-husky/gpt_academic_with_latex:master # (Auto Built by Dockerfile: docs/GithubAction+NoLocal+Latex)
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environment:
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# 请查阅 `config.py` 以查看所有的配置信息
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API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx '
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USE_PROXY: ' True '
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proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } '
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LLM_MODEL: ' gpt-3.5-turbo '
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AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "gpt-4"] '
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LOCAL_MODEL_DEVICE: ' cuda '
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DEFAULT_WORKER_NUM: ' 10 '
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WEB_PORT: ' 12303 '
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# 与宿主的网络融合
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network_mode: "host"
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# 不使用代理网络拉取最新代码
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command: >
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bash -c "python3 -u main.py"
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## ===================================================
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## 【方案五】 ChatGPT + 语音助手 （请先阅读 docs/use_audio.md）
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## ===================================================
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version: '3'
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services:
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gpt_academic_with_audio:
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image: ghcr.io/binary-husky/gpt_academic_audio_assistant:master
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environment:
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# 请查阅 `config.py` 以查看所有的配置信息
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API_KEY: ' fk195831-IdP0Pb3W6DCMUIbQwVX6MsSiyxwqybyS '
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USE_PROXY: ' False '
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proxies: ' None '
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LLM_MODEL: ' gpt-3.5-turbo '
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AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "gpt-4"] '
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ENABLE_AUDIO: ' True '
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LOCAL_MODEL_DEVICE: ' cuda '
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DEFAULT_WORKER_NUM: ' 20 '
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WEB_PORT: ' 12343 '
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ADD_WAIFU: ' True '
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THEME: ' Chuanhu-Small-and-Beautiful '
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ALIYUN_APPKEY: ' RoP1ZrM84DnAFkZK '
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ALIYUN_TOKEN: ' f37f30e0f9934c34a992f6f64f7eba4f '
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# (无需填写) ALIYUN_ACCESSKEY: ' LTAI5q6BrFUzoRXVGUWnekh1 '
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# (无需填写) ALIYUN_SECRET: ' eHmI20AVWIaQZ0CiTD2bGQVsaP9i68 '
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# 与宿主的网络融合
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network_mode: "host"
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# 不使用代理网络拉取最新代码
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command: >
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bash -c "python3 -u main.py"
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