docker-compose.yml

version: "3"
services:
  corenlp:
    image: 'sld3/corenlp:3.6.0'
    ports:
      - '5554:9000'
    restart: 'unless-stopped'

  opennmt:
    image: 'sld3/opennmt:780979ab_distro20e52377'
    volumes:
      - './question_generation/data/:/root/data'
    command: >
      bash -c "cd /root/opennmt && th tools/translation_server.lua -host 0.0.0.0
      -port 5556  -model /root/data/model.t7 -beam_size 12 -replace_unk true"
    depends_on:
      - corenlp
    ports:
      - '5556:5556'
    restart: 'unless-stopped'

  opennmtchitchat:
    image: 'sld3/opennmt:780979ab_distro20e52377'
    volumes:
      - './opennmt_chitchat/data/:/root/data'
    command: >
      bash -c "cd /root/opennmt && th tools/translation_server.lua -host 0.0.0.0
      -port 5556 -model /root/data/CPU_epoch5_14.62.t7
      -beam_size 1 -replace_unk false"
    ports:
      - '5557:5556'
    restart: 'unless-stopped'

  opennmtsummary:
    image: 'sld3/opennmt:780979ab_distro20e52377'
    volumes:
      - './opennmt_summarization/models:/root/data'
    command: >
      bash -c "cd /root/opennmt && th tools/translation_server.lua -host 0.0.0.0
      -port 5556  -model /root/data/textsum_epoch7_14.69_release.t7
      -beam_size 12 -replace_unk false"
    ports:
      - '5558:5556'
    restart: 'unless-stopped'


  opennmtfbpost:
    image: 'sld3/opennmt:780979ab_distro20e52377'
    volumes:
      - './fbnews_chitchat/data/:/root/data'
    command: >
      bash -c "cd /root/opennmt && th tools/translation_server.lua -host 0.0.0.0
      -port 5556  -model /root/data/fbchichat_ver2_epoch9.t7
      -beam_size 5 -replace_unk false -max_sent_length 20"
    ports:
      - '5559:5556'
    restart: 'unless-stopped'

  bidaf:
    image: 'sld3/bi-att-flow:0.1.0'
    ports:
      - '1995:1995'
    restart: 'unless-stopped'

  alice:
    build:
      context: './ALICEChatAPI/'
    image: 'sld3/alice_chat:0.1.0'
    volumes:
      - './ALICEChatAPI:/src'
    command: python -u server.py
    restart: 'unless-stopped'

  bigartm:
    build:
      context: './topic-modelling/'
    image: 'sld3/bigartm:0.1.0'
    volumes:
      - './topic-modelling:/src'
    command: gunicorn -w 4 -b 0.0.0.0:3000 server:app
    expose:
      - '3000'
    restart: 'unless-stopped'
    environment:
      - PYTHONUNBUFFERED=1

  intent_classifier:
    build:
      context: './intent_classifier/'
    image: 'sld3/intent_classifier:0.1.0'
    volumes:
      - './intent_classifier:/src'
    command: gunicorn -w 1 -t 120 -b 0.0.0.0:3000 server:app # Only 1 worker, beacuse a lot of ram required
    expose:
      - '3000'
    restart: 'unless-stopped'
    environment:
      - PYTHONUNBUFFERED=1

  spellchecker:
    image: 'spellchecker:0.1'
    build:
      context: './spellchecker'
    volumes:
      - './spellchecker:/src'
      - './spellchecker_model:/model'
    command: python3.6 -u server.py
    ports:
      - '3050:3050'
    restart: 'unless-stopped'