Notes only for now:

https://github.com/open-webui/open-webui
https://docs.openwebui.com/getting-started/env-configuration/#general

Nvidia GPU, linux:

mkdir /opt/ollama
mkdir /opt/open-webui
mkdir /opt/openedai-speech/tts-voices
mkdir /opt/openedai-speech/tts-config
mkdir /opt/pipelines
mkdir /opt/docker-ssl-proxy
mkdir /opt/faster-whisper-server

docker-ollama.yml

services:
  ollama:
    image: ollama/ollama:latest
    container_name: ollama
    volumes:
      - /opt/ollama:/root/.ollama
    ports:
      - 11434:11434
    #runtime: nvidia
    restart: unless-stopped
    deploy:
      resources:
        reservations:
          devices:
          - driver: nvidia
            #device_ids: ['0']
            count: 1
            capabilities: [gpu]

docker-openwebui.yml

services:
  open-webui:
    image: ghcr.io/open-webui/open-webui:main
    container_name: open-webui
    deploy:
      resources:
        reservations:
          devices:
          - driver: nvidia
            device_ids: ['0']
            capabilities: [gpu]
    ports:
      - 3000:8080
    volumes:
      - /opt/open-webui:/app/backend/data
    restart: unless-stopped
    extra_hosts:
      host.docker.internal: host-gateway
    environment:
      - WEBUI_NAME=CustomGPTName

docker-openedai-speech.yml

services:
  openedai-speech:
    image: ghcr.io/matatonic/openedai-speech
    container_name: openedai-speech
    ports:
      - "8060:8000"
    volumes:
      - /opt/openedai-speech/tts-voices:/app/voices
      - /opt/openedai-speech/tts-config:/app/config
    restart: unless-stopped
    deploy:
      resources:
        reservations:
          devices:
          - driver: nvidia
            device_ids: ['0']
            capabilities: [gpu]
    environment:
      - TZ=Europe/London
      - TTS_HOME=voices
      - HF_HOME=voices
      # - PRELOAD_MODEL=xtts
      # - PRELOAD_MODEL=xtts_v2.0.2
      # - PRELOAD_MODEL=parler-tts/parler_tts_mini_v0.1

In open-webui under settings → audio

1. set to openai
2. API Base URL: http://host.docker.internal:8060/v1
3. API Key: sk-111111111 (note: this is a dummy API key, no key required)
4. Under TTS Voice within the same audio settings menu in the admin panel, you can set the TTS Model to use from the following choices below that openedai-speech supports. The voices of these models are optimized for the English language.
   tts-1 or tts-1-hd: alloy, echo, echo-alt, fable, onyx, nova, and shimmer (tts-1-hd is configurable; uses OpenAI samples by default)

docker-pipelines.yml

services:
  pipelines:
    image: ghcr.io/open-webui/pipelines:main
    container_name: pipelines
    volumes:
      - /opt/pipelines:/app/pipelines
    ports:
      - 9099:9099
    restart: always
    extra_hosts:
      host.docker.internal: host-gateway
    deploy:
      resources:
        reservations:
          devices:
          - driver: nvidia
            device_ids: ['0']
            capabilities: [gpu]

Under settings→connections set:

1. OPENAI API host: http://host.docker.internal:9099
2. OPENAI API Key: 0p3n-w3bu!

git clone https://github.com/fedirz/faster-whisper-server

docker-faster-whisper-server.yml

services:
  faster-whisper-server-cuda:
    image: fedirz/faster-whisper-server:latest-cuda
    build:
      dockerfile: faster-whisper-server/Dockerfile.cuda
      context: ./faster-whisper-server
      platforms:
        - linux/amd64
    volumes:
      - /opt/faster-whisper-server/:/root/.cache/huggingface
    restart: unless-stopped
    ports:
      - 8010:8000
    develop:
      watch:
        - path: faster_whisper_server
          action: rebuild
    deploy:
      resources:
        reservations:
          devices:
            - capabilities: ["gpu"]

go to settings → audio, set

1. OPENAI API host: http://host.docker.internal:8010/v1
2. OPENAI API Key: sk-something
3. model: whisper-1

NOTE: speech to text requires https connection to open-webui as browsers do not have access to microphone on http connection!

mkdir /opt/docker-ssl-proxy/
cd /opt/docker-ssl-proxy/
openssl req -subj '/CN=hostname.example.com' -x509 -newkey rsa:4096 -nodes -keyout key.pem -out cert.pem -days 365

/opt/docker-ssl-proxy/proxy_ssl.conf

server {
  listen 443 ssl;
  ssl_certificate /etc/nginx/conf.d/cert.pem;
  ssl_certificate_key /etc/nginx/conf.d/key.pem;
  location / {
     proxy_pass http://host.docker.internal:80;
  }
}

docker-ssl-proxy.yml

 
services:
  nginx-proxy:
    image: nginx
    container_name: nginx-proxy
    ports:
      - 443:443
    volumes:
      - /opt/docker-ssl-proxy:/etc/nginx/conf.d
    restart: unless-stopped
    extra_hosts:
      host.docker.internal: host-gateway
    environment:
      - TZ=Europe/London

To pull an ollama image, better to use ollama directly as the webinterface doesn't handle stalls well:

docker exec -ti ollama ollama pull imagename:tag

AMD GPU on Windows:

docker-ollama.yml

name: ollama
services:
  ollama:
    image: ollama/ollama:rocm
    container_name: ollama
    volumes:      
      - /p/Docker_Volumes/ollama:/root/.ollama
    ports:        
      - 11434:11434
    deploy:
      resources:        
        reservations:
          devices:          
            - capabilities: [gpu]

docker-openwebui.yml

      
name: webui
services:
  open-webui:
    image: ghcr.io/open-webui/open-webui:main
    container_name: open-webui
    deploy:
      resources:
        reservations:
          devices:
          - capabilities: [gpu]
    ports:
      - 3000:8080
    volumes:
      - /p/Docker_Volumes/openwebui:/app/backend/data
    restart: always
    extra_hosts:
      host.docker.internal: host-gateway
    environment:
      - WEBUI_AUTH=false

docker install - WSL2 backend
cmd line

docker compose -f docker-openwebui.yml up -d
docker compose -f docker-ollama.yml up -d

mkdir
p/Docker_Volumes = P:\Docker_Volumes