docker-compose.yml

version: '3'
services:
  model-api:
    image: "deepset/covid-qa-haystack"
    ports:
      - "80:80"
    environment:
      # see backend/config.py for additional variables to configure
      - TEXT_FIELD_NAME=answer
      - SEARCH_FIELD_NAME=question
      - EXCLUDE_META_DATA_FIELDS=["question_emb"]
      # optional: use an embedding model instead of plain elasticsearch query
#      - EMBEDDING_FIELD_NAME=question_emb
#      - EMBEDDING_DIM=768
#      - EMBEDDING_MODEL_PATH=deepset/sentence-bert # MUST be the same as used for indexing the FAQs
      - USE_GPU=False
    command: /bin/sh -c "cd /home/user && sleep 20 && uvicorn backend.api:app --host 0.0.0.0 --port 80 --limit-concurrency 10 --workers 1"
    network_mode: host
  elastic:
  # use plain elasticsearch image if you want to ingest fresh data (via backend/data_ingestion.py)
  # use covid-qa-elastic only for dev to have some (old) docs preindexed.
  # image: "elasticsearch:7.5.1"
    image: "deepset/covid-qa-elastic"
    ports:
      - "9200:9200"
      - "9300:9300"
    environment:
      - discovery.type=single-node