# 「方法1: 适用于Linux，很方便，可惜windows不支持」与宿主的网络融合为一体，这个是默认配置
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# 「方法1: 适用于Linux，很方便，可惜windows不支持」与宿主的网络融合为一体，这个是默认配置 # network_mode: "host" # 「方法2: 适用于所有系统包括Windows和MacOS」端口映射，把容器的端口映射到宿主的端口（注意您需要先删除network_mode: "host"，再追加以下内容） # ports: # - "12345:12345" # 注意！12345必须与WEB_PORT环境变量相互对应
docker-compose up# [Method 1: Suitable for Linux, convenient, but not supported for Windows] Fusion with the host network, this is the default configuration # network_mode: "host" # [Method 2: Suitable for all systems including Windows and MacOS] Port mapping, mapping the container port to the host port (note that you need to delete network_mode: "host" first, and then add the following content) # ports: # - "12345: 12345" # Note! 12345 must correspond to the WEB_PORT environment variable.
docker-compose upversion: '3' services: gpt_academic_full_capability: image: ghcr.io/binary-husky/gpt_academic_with_all_capacity:master environment: # 请查阅
config.py# 加载英伟达显卡运行时 # runtime: nvidia # deploy: # resources: # reservations: # devices: # - driver: nvidia # count: 1 # capabilities: [gpu] # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合 network_mode: "host" # 「WEB_PORT暴露方法2: 适用于所有系统」端口映射 # ports: # - "12345:12345" # 12345必须与WEB_PORT相互对应 # 启动容器后，运行main.py主程序 command: > bash -c "python3 -u main.py"
version: '3' services: gpt_academic_nolocalllms: image: ghcr.io/binary-husky/gpt_academic_nolocal:master # (Auto Built by Dockerfile: docs/GithubAction+NoLocal) environment: # 请查阅
config.py# 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合 network_mode: "host" # 启动命令 command: > bash -c "python3 -u main.py"
version: '3' services: gpt_academic_with_chatglm: image: ghcr.io/binary-husky/gpt_academic_chatglm_moss:master # (Auto Built by Dockerfile: docs/Dockerfile+ChatGLM) environment: # 请查阅
config.py# 显卡的使用，nvidia0指第0个GPU runtime: nvidia devices: - /dev/nvidia0:/dev/nvidia0 # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合 network_mode: "host" # 启动命令 command: > bash -c "python3 -u main.py" # P.S. 通过对 command 进行微调，可以便捷地安装额外的依赖 # command: > # bash -c "pip install -r request_llms/requirements_qwen.txt && python3 -u main.py"
version: '3' services: gpt_academic_with_rwkv: image: ghcr.io/binary-husky/gpt_academic_jittorllms:master environment: # 请查阅
config.py# 显卡的使用，nvidia0指第0个GPU runtime: nvidia devices: - /dev/nvidia0:/dev/nvidia0 # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合 network_mode: "host" # 启动命令 command: > python3 -u main.py
version: '3' services: gpt_academic_with_latex: image: ghcr.io/binary-husky/gpt_academic_with_latex:master # (Auto Built by Dockerfile: docs/GithubAction+NoLocal+Latex) # 对于ARM64设备，请将以上镜像名称替换为 ghcr.io/binary-husky/gpt_academic_with_latex_arm:master environment: # 请查阅
config.py# 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合 network_mode: "host" # 启动命令 command: > bash -c "python3 -u main.py"
version: '3' services: gpt_academic_with_audio: image: ghcr.io/binary-husky/gpt_academic_audio_assistant:master environment: # 请查阅
config.py# 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合 network_mode: "host" # 启动命令 command: > bash -c "python3 -u main.py"