Added docker and k8s stuff
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14
Dockerfile
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14
Dockerfile
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FROM registry.kmlabz.com/birbnetes/ai-base-image
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RUN apt update && apt install -y libsndfile1-dev libsndfile1 && apt clean
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ENV PIP_NO_CACHE_DIR=true
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ENV TZ Europe/Budapest
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RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
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ADD cnn_classification_service requirements.txt /cnn_classification_service/
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WORKDIR /cnn_classification_service/
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RUN pip3 install -r requirements.txt
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ENTRYPOINT ["python3", "main.py"]
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13
k8s/configmap.yaml
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13
k8s/configmap.yaml
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: cnn-classification-service
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labels:
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app: cnn-classification-service
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namespace: birbnetes
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data:
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SENTRY_DSN: https://6d243347cf9f4fc6a54759c3eb34e864@sentry.kmlabz.com/8
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RELEASE_ID: luna-k8s
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RELEASEMODE: release
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PIKA_URL: amqp://user:1wZVQnP5vy@birb-rabbitmq:5672/
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PIKA_EXCHANGE_NAME: "wave"
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27
k8s/deployment.yaml
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27
k8s/deployment.yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: cnn-classification-service
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namespace: birbnetes
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labels:
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app: cnn-classification-service
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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: cnn-classification-service
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strategy:
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type: Recreate
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template:
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metadata:
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labels:
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app: cnn-classification-service
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spec:
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containers:
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- image: registry.kmlabz.com/birbnetes/cnn-classification-service
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name: cnn-classification-service
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envFrom:
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- configMapRef:
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name: cnn-classification-service
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imagePullSecrets:
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- name: regcred
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@ -7,4 +7,6 @@ librosa
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keras
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numpy
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matplotlib
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keras_preprocessing
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keras_preprocessing
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tensorflow
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sndfile
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