d03a92407d
Dockerfile (linux/arm64, en_US-amy-medium baked), tts_service.py (16kHz/16-bit/mono WAV, numpy resample 22050->16000), gx10-tts.yaml (CPU NodePort 30850, no GPU request), README (build/import/cutover/verify on the GX10 cluster).
82 lines
2.0 KiB
YAML
82 lines
2.0 KiB
YAML
# GX10 Piper TTS — telephony /tts endpoint on the GX10 RKE2 cluster.
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# Applied DIRECTLY via the GX10's own kubectl (KUBECONFIG=/etc/rancher/rke2/rke2.yaml);
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# the GX10 cluster is NOT yet under the old-cluster ArgoCD. CPU-only (no GPU request)
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# so it co-resides with the GPU-holding Ollama pod without contending for the GB10.
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# Image is imported into RKE2 containerd (imagePullPolicy: Never).
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# Telephony reaches it at http://10.0.56.14:30850 (NodePort, MGMT VLAN 56).
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apiVersion: v1
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kind: Namespace
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metadata:
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name: tts
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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: gx10-tts
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namespace: tts
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labels:
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app: gx10-tts
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: gx10-tts
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template:
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metadata:
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labels:
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app: gx10-tts
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spec:
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containers:
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- name: tts
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image: localhost/fc-gx10-tts:v20260614
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imagePullPolicy: Never
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ports:
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- containerPort: 8500
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name: http
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env:
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- name: TTS_PORT
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value: "8500"
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- name: PIPER_VOICE
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value: "en_US-amy-medium"
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- name: TARGET_RATE
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value: "16000"
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readinessProbe:
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httpGet:
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path: /health
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port: 8500
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initialDelaySeconds: 3
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periodSeconds: 5
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timeoutSeconds: 3
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livenessProbe:
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httpGet:
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path: /health
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port: 8500
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initialDelaySeconds: 10
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periodSeconds: 20
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timeoutSeconds: 5
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resources:
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requests:
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cpu: "500m"
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memory: "512Mi"
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limits:
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cpu: "4"
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memory: "2Gi"
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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: gx10-tts
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namespace: tts
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labels:
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app: gx10-tts
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spec:
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type: NodePort
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selector:
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app: gx10-tts
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ports:
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- name: http
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port: 8500
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targetPort: 8500
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nodePort: 30850
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protocol: TCP
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