Refactor code structure for improved readability and maintainability
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@@ -38,7 +38,7 @@ In Safari on iPhone, open the HTTPS address and use **Share > Add to Home Screen
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## Local speech-to-text
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The API can use a local `onerahmet/openai-whisper-asr-webservice` server when `WHISPER_SERVER_URL` is configured. Set it to the service's `/asr` endpoint, for example `http://whisper:9000/asr`. Faerro KB sends the converted WAV as the `audio_file` multipart field with `task=transcribe` and `output=json`; audio is sent only to that local endpoint. With the variable unset, uploads remain stored as `awaiting_transcription` until a non-empty transcript is entered and saved. Saving that transcript deletes both server-side audio files.
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The API can use a local `onerahmet/openai-whisper-asr-webservice` server when `WHISPER_SERVER_URL` is configured. Set it to the service's `/asr` endpoint, including its listening port, for example `http://whisper:9000/asr` or `http://192.168.1.102:9000/asr`. Faerro KB sends the converted WAV as the `audio_file` multipart field with `task=transcribe` and `output=json`; audio is sent only to that local endpoint. At startup, the API also sends the bundled `audio test.wav` to the endpoint as a connection test before resuming queued jobs. Logs report the HTTP result, detected language, segment count, and elapsed time, but never log the transcript. With the variable unset, uploads remain stored as `awaiting_transcription` until a non-empty transcript is entered and saved. When the API starts with a successful Whisper test, it resumes awaiting, interrupted, and failed transcription jobs whose audio is still stored. Restart/recreate the API container after changing this environment variable; configuration is read at startup. Saving a non-empty transcript deletes both server-side audio files.
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Run the ASR web service with a model that fits the available hardware, then set `WHISPER_SERVER_URL` to its `/asr` endpoint. Keep the transcription server private to the Docker network and do not expose it publicly.
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