edateam/eda repository overview

2.0 : 동적ip 처리

우분투 20 history | grep "apt-get install"

apt-get install python3.6 apt-get install pip3 apt-get install vim

apt-get install sudo apt-get install unzip apt-get install software-properties-common //저장소 명령어 sudo apt-get install python-software-properties

-vevn2 pip3 install -r requirments.txt

+++ sudo apt install ffmpeg pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp36-cp36m-linux_x86_64.whl⁠ sudo apt-get install libpython3.6 python3 -c "import nltk; nltk.download('punkt')"

pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl⁠

python3 app.py --load_path logdir-tacotron/JMH_2019-08-09_18-17-04 --num_speakers=1

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docker commit 컨테이너이름 생성할이미지 docker push 이미지

도커파일 - 최신 이미지로 수정 start.sh 파일

docker build -t dockertest:1.4 . docker run -it -d -p 80:51000 --rm dockertest:1.4

***** paasta 올리기

1. yaml파일 수정
2. deployments 실행 kubeclt apply -f
3. 서비스 실행 kubectl expose deployment eda --type=NodePort --name=eda-service --port=51000 --target-port=51000