Configuration#

Load Order#

The service loads configuration in this order:

  1. config.yaml

  2. Environment variables with the AUDIO_ANALYZER__... prefix

The same config.yaml is used for both Docker and standalone runs. In Docker, config.yaml is bind-mounted into the container, so edits on the host take effect on docker compose restart.

Config File#

  • config.yaml: single source of truth for both standalone and container runs.

Environment Variables#

  • AUDIO_ANALYZER_CONFIG_PATH: alternate base config file (advanced)

  • AUDIO_ANALYZER_ENV_FILE: optional .env file to preload before config parsing

  • AUDIO_ANALYZER_SERVER_HOST: host used by python main.py

  • AUDIO_ANALYZER_SERVER_PORT: port used by python main.py

Targeted config overrides use the AUDIO_ANALYZER__... prefix.

Example:

AUDIO_ANALYZER__MODELS__ASR__DEVICE=GPU python main.py

Key Sections#

  • models.asr: backend provider, model name, device, export precision, decoding settings

  • audio_preprocessing: chunk size, silence detection, denoise settings, chunk directory

  • audio_util: max file size, allowed extensions, upload read chunk size

  • pipeline.delete_chunks_after_use: whether temporary chunks are removed after processing

  • sentiment: enablement, provider, model, device, aggregation settings

Common Values#

  • models.asr.provider: openai | openvino

  • models.asr.device: typically CPU; GPU also works for supported OpenVINO paths

  • models.asr.weight_format: optional OpenVINO export precision such as int8, fp16, or null

  • sentiment.enabled: true or false

  • sentiment.provider: openvino or pytorch

  • sentiment.weight_format: optional OpenVINO export precision such as int8, fp16, or null