PoultryHealthNet-Avian-Disease-Classification using MLOPS
- Python
- DVC
- Github actions
- Docker
- AWS cloud (I AM,ECR,EC2)
- created config.yaml
- created secrets.yaml [Optional] (for if we are using databse and in case we need to keep credentials secreat )
- created params.yaml
- created the entity
- created the configuration manager in src config
- created the components
- created the pipeline file
- created the main.py file
- created the dvc.yaml file (MLOPS tool)
Clone the repository
https://github.com/shivpalSW/PoultryHealthNet-Disease-Classification
conda create -n cnncls python=3.8 -y
conda activate cnncls
pip install -r requirements.txt
# Finally run the following command
python app.py
Now,
open up you local host and port
- dvc init
- dvc repro
- dvc dag
#with specific access
1. EC2 access : It is virtual machine
2. ECR: Elastic Container registry to save your docker image in aws
#Description: About the deployment
1. Build docker image of the source code
2. Push your docker image to ECR
3. Launch Your EC2
4. Pull Your image from ECR in EC2
5. Lauch your docker image in EC2
#Add Policy:
1. AmazonEC2ContainerRegistryFullAccess
2. AmazonEC2FullAccess
- Save the URI: 815723463103.dkr.ecr.ap-south-1.amazonaws.com/poultryhealthnet
#optinal
sudo apt-get update -y
sudo apt-get upgrade
#required
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
sudo usermod -aG docker ubuntu
newgrp docker
setting>actions>runner>new self hosted runner> choose os> then run command one by one
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
AWS_REGION = us-east-1
AWS_ECR_LOGIN_URI = demo>> 566373416292.dkr.ecr.ap-south-1.amazonaws.com
ECR_REPOSITORY_NAME = simple-app