python:3.11-slim base relies on pip torch wheels bundling CUDA runtime libs, with the host NVIDIA driver passed through via the nvidia container runtime (compose GPU reservation); TORCH_HOME and XDG_CACHE_HOME point into the mounted /data volume so Demucs/wav2vec2 weights survive container recreation. Docker was not installed in the implementation sandbox, so the image was not built or run and remains untested. PyYAML was also unavailable, so docker-compose.yml was not parse-checked programmatically — only hand reviewed.
12 lines
278 B
TOML
12 lines
278 B
TOML
whisper_url = "http://whisper.intranet:9000/v1"
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# whisper_api_key = ""
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# whisper_model = "whisper-1"
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output_dir = "/data/output"
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work_dir = "/data/work"
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creator = "brad"
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# demucs_model = "htdemucs_ft"
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# crepe_model = "full"
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# device = "cuda"
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bind_host = "0.0.0.0"
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# port = 8000
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