add stt and tts services
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97
llamacpp/deployment-stt.yaml
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97
llamacpp/deployment-stt.yaml
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# Wyoming Speech-to-Text (rhasspy/wyoming-whisper).
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#
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# Exposes the Wyoming protocol over TCP on port 10300 so Home Assistant's
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# Wyoming STT integration can stream audio and receive transcriptions. Uses
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# faster-whisper under the hood with the language pinned to Catalan (`ca`).
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#
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# These are lightweight CPU-only pods (no GPU), so they are NOT pinned to the
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# NUCBox via nodeSelector — k3s can schedule them on any amd64 node. Models are
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# cached in a local-path PVC (`/data`) so they survive pod restarts without
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# re-downloading.
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---
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: wyoming-whisper-data
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namespace: llamacpp
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labels:
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app: llamacpp
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component: stt
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spec:
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storageClassName: local-path
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accessModes:
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- ReadWriteOnce
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resources:
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requests:
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storage: 5Gi
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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: wyoming-whisper
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namespace: llamacpp
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labels:
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app: llamacpp
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component: stt
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spec:
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replicas: 1
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strategy:
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type: Recreate
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selector:
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matchLabels:
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app: llamacpp
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component: stt
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template:
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metadata:
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labels:
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app: llamacpp
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component: stt
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spec:
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nodeSelector:
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kubernetes.io/arch: amd64
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containers:
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- name: wyoming-whisper
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image: rhasspy/wyoming-whisper
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imagePullPolicy: IfNotPresent
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args:
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- --uri
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- tcp://0.0.0.0:10300
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- --language # pin transcription language to Catalan
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- ca
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- --model # faster-whisper model (tune up to medium for accuracy)
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- small
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ports:
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- name: wyoming
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containerPort: 10300
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resources:
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requests:
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cpu: "100m"
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memory: "256Mi"
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limits:
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cpu: "1000m"
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memory: "1Gi"
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volumeMounts:
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- name: data
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mountPath: /data
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volumes:
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- name: data
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persistentVolumeClaim:
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claimName: wyoming-whisper-data
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: wyoming-whisper
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namespace: llamacpp
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labels:
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app: llamacpp
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component: stt
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spec:
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type: ClusterIP
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selector:
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app: llamacpp
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component: stt
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ports:
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- name: wyoming
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port: 10300
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targetPort: 10300
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