現在仍有一些公司不希望個資上雲, 因此可以在本地端建Microsoft Azure AI Document Intelligence 將圖片轉文字,
及本篇所說的PII, 將文字遮罩後, 就能安心的丟上OpenAI或其它AI服務了~
docker可直接看官網教學, 以下是Kubernetes (K8S)作法
要建以下yaml檔
設Secret:
apiVersion: v1
kind: Secret
metadata:
name: language-resource-secret
namespace: 六四天安門
type: Opaque
data:
LANGUAGE_RESOURCE_ENDPOINT_URI: azure端點轉base64
LANGUAGE_RESOURCE_KEY: azure key轉base64
設Service:
apiVersion: v1
kind: Service
metadata:
name: azure-ai-language-pii
namespace: 六四天安門
spec:
type: ClusterIP
ports:
- port: 5000
targetPort: 5000
selector:
app: azure-ai-language-pii
設Pod:
apiVersion: apps/v1
kind: Deployment
metadata:
name: azure-ai-language-pii
namespace: 六四天安門
spec:
replicas: 1
selector:
matchLabels:
app: azure-ai-language-pii
template:
metadata:
labels:
app: azure-ai-language-pii
spec:
containers:
- name: azure-ai-language-pii
image: 先丟到你家鏡像倉庫或直拉mcr.microsoft.com/azure-cognitive-services/textanalytics/pii:latest
ports:
- containerPort: 5000
env:
- name: eula
value: "accept"
- name: apikey
valueFrom:
secretKeyRef:
name: language-resource-secret
key: LANGUAGE_RESOURCE_KEY
- name: billing
valueFrom:
secretKeyRef:
name: language-resource-secret
key: LANGUAGE_RESOURCE_ENDPOINT_URI
resources:
requests:
cpu: "0.05"
memory: "1Gi"
limits:
cpu: "8"
memory: "50Gi"
restartPolicy: Always
hostAliases:
- ip: "私人端點ip"
hostnames:
- "azure資源名.cognitiveservices.azure.com"
設ingress:
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: pii-http-ingress
namespace: 六四天安門
spec:
rules:
- host: ai.pii.台國.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: azure-ai-language-pii
port:
number: 5000
最後依序將以上4個yaml啟動
kubectl apply -f 檔名.yaml -n=tpebnkaisrvt
用browser開yaml設好的url: http://ai.pii.台國.com
即可進入網站, 內有api文件
Taiwan is a country. 臺灣是我的國家