lib/medical_transcription/application.ex

defmodule Medicode.Application do
  # See https://hexdocs.pm/elixir/Application.html
  # for more information on OTP Applications
  @moduledoc false

  use Application
  alias AudioTagger.{KeywordFinder, Transcriber, Vectors}

  @model_name "openai/whisper-tiny"

  @impl true
  def start(_type, _args) do
    children = [
      MedicodeWeb.Telemetry,
      Medicode.Repo,
      {DNSCluster,
       query: Application.get_env(:medicode, :dns_cluster_query) || :ignore},
      {Phoenix.PubSub, name: :medicode_pubsub},
      # Start the Finch HTTP client for sending emails
      {Finch, name: Medicode.Finch},
      transcription_spec(),
      token_classification_spec(),
      text_embedding_spec(),
      {Registry, keys: :unique, name: :transcription_registry},
      {
        Medicode.TranscriptionSupervisor,
        strategy: :one_for_one, max_restarts: 1
      },
      {
        Medicode.ClassificationSupervisor,
        strategy: :one_for_one, max_restarts: 1
      },
      # Start a worker by calling: Medicode.Worker.start_link(arg)
      # {Medicode.Worker, arg},
      # Start to serve requests, typically the last entry
      MedicodeWeb.Endpoint
    ]

    # See https://hexdocs.pm/elixir/Supervisor.html
    # for other strategies and supported options
    opts = [strategy: :one_for_one, name: Medicode.Supervisor]
    Supervisor.start_link(children, opts)
  end

  # Tell Phoenix to update the endpoint configuration
  # whenever the application is updated.
  @impl true
  def config_change(changed, _new, removed) do
    MedicodeWeb.Endpoint.config_change(changed, removed)
    :ok
  end

  defp transcription_spec do
    Transcriber.child_spec(Medicode.TranscriptionServing, @model_name)
  end

  defp token_classification_spec do
    KeywordFinder.token_classification_child_spec(Medicode.TokenClassificationServing)
  end

  defp text_embedding_spec do
    Vectors.child_spec(Medicode.TextEmbeddingServing)
  end
end