feat(deploy): add whisper.cpp Kubernetes deployment
Add Dockerfile and K8s manifests for whisper.cpp transcription service. Deploys to ai-stack namespace with worker node affinity for GPU access.
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: whisper
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namespace: ai-stack
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labels:
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app: whisper
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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: whisper
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template:
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metadata:
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labels:
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app: whisper
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spec:
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affinity:
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nodeAffinity:
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preferredDuringSchedulingIgnoredDuringExecution:
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- weight: 100
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preference:
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matchExpressions:
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- key: node-role.kubernetes.io/worker
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operator: In
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values: ["true"]
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imagePullSecrets:
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- name: gitea-regcred
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containers:
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- name: whisper
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image: gitea-http.taildb3494.ts.net/will/whisper-cpp:latest
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imagePullPolicy: Always
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args:
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- "--model"
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- "/app/models/ggml-base.en.bin"
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- "--host"
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- "0.0.0.0"
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- "--port"
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- "8080"
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- "--convert"
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- "--language"
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- "en"
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- "--inference-path"
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- "/v1/audio/transcriptions"
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ports:
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- name: http
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containerPort: 8080
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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: "2"
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memory: 1Gi
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livenessProbe:
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httpGet:
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path: /
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port: http
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initialDelaySeconds: 10
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periodSeconds: 30
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timeoutSeconds: 5
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readinessProbe:
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httpGet:
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path: /
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port: http
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initialDelaySeconds: 5
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periodSeconds: 10
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timeoutSeconds: 5
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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: whisper
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namespace: ai-stack
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labels:
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app: whisper
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spec:
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selector:
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app: whisper
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ports:
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- name: http
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port: 8080
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targetPort: http
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---
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apiVersion: networking.k8s.io/v1
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kind: Ingress
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metadata:
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name: whisper
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namespace: ai-stack
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spec:
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ingressClassName: nginx
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rules:
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- host: whisper.ai-stack.192.168.153.240.nip.io
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http:
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paths:
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- path: /
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pathType: Prefix
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backend:
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service:
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name: whisper
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port:
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name: http
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