About docker command

docker --version

Docker hub

1. https://hub.docker.com/

2. https://docs.docker.com/engine/reference/commandline/manifest/

3. docker image https://docs.docker.com/language/nodejs/run-containers/

4. docker compose https://docs.docker.com/compose/gettingstarted/
• useful project https://github.com/docker/awesome-compose
• docker volume https://docs.docker.com/storage/volumes/

How To Use

1. making docker file and write down some command.

FROM python:3.9-slim

WORKDIR /app

RUN pip install --upgrade setuptools
RUN pip install --upgrade pip

RUN apt-get update && apt-get install -y \\
    build-essential \\
    curl \\
    software-properties-common \\
    git \\
    && rm -rf /var/lib/apt/lists/*

RUN pip install --upgrade pip

RUN git clone <https://github.com/DSDanielPark/GPT-BERT-Medical-QA-Chatbot.git> .

RUN pip3 install -r requirements.txt

EXPOSE 8501

HEALTHCHECK CMD curl --fail <http://localhost:8501/_stcore/health>

ENTRYPOINT ["streamlit", "run", "chatbot.py", "--server.port=8501", "--server.address=0.0.0.0"]

1. tagging name

• in my case, chatgpt is image name

docker build -t chatgpt .

1. check

docker scan #args
docker scan --version

1. image check

docker images

1. docker run

• run with port porting

docker run -p 8501:8501 -v ${PWD}/:/usr/src/app/data chatgpt

Using Docker Compose

version: '1.0'

services:
  streamlit:
    build:
      dockerfile: dockerfile
    ports:
      - '8501:8501'
    volumes:
      - './:/usr/src/app/data'
    environment:
      - USER_ID=1000
      - GROUP_ID=1000

 docker compose up -d
 docker compose ps

 docker compose run web env

 docker compose stop

 docker compose down --volumes

Other command

docker ps


docker ps -a

docker rm [container-id]

docker images


docker rmi [img-id]


docker ps -a -q

docker container ls -a

docker container ls -aq



docker container stop $(docker container ls -aq)
docker container rm $(docker container ls -aq)



docker kill $(docker ps -q)
docker_clean_ps
docker rmi $(docker images -a -q)



#Delete system cached
docker system prune -a

docker image prune


#Remove All Docker Containers
docker container stop $(docker container ls -aq) && docker system prune -af --volumes


#Removing Docker Images With Filters
docker image prune -a --filter "until=24h"

$ streamlit hello

  You can now view your Streamlit app in your browser.

  Local URL: <http://localhost:8501>
  Network URL: <http://192.168.1.51:8501>

Path finding

find / -name [folderfindingkeyword] -type d


find ./ -name [folderfindingkeyword] -type d


ls -Rhal | grep [filefindingkeyword]


ls | grep [keyworkd] | xargs rm

Docker Pushing to hub after tagging

docker tag [dockerImageName] [dockerHubId/repositoryName]
docker push [dockerHubId/repositoryName]

Docker pull and deploy without docker compose

docker pull [dockerHubId/repositoryName]
docker images
docker images [dockerHubId/repositoryName]
docker run -p 8501:8501 -v ${PWD}/:/usr/src/app/data [taggingName]
....
....
# hard working.........do not recommanded

Docker compose push

version: '1.0'

services:
  medical-chatgpt-streamlit-v1:
    build:
      dockerfile: dockerfile
    ports:
      - '8501:8501'
    volumes:
      - './:/usr/src/app/data'
    environment:
      - USER_ID=1000
      - GROUP_ID=1000

    image: parkminwoo91/medical-chatgpt-streamlit-v1:latest

docker compose build
docker compose push