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MLFLOW_TRACKING_URI=https://dagshub.com/trehansalil/toxicity_detection.mlflow MLFLOW_TRACKING_USERNAME=trehansalil MLFLOW_TRACKING_PASSWORD=88855b61c077c3a7538eda58ac1a8a33eb4d1098 python script.py
Run this to export as env variables:
export MLFLOW_TRACKING_URI=https://dagshub.com/trehansalil/toxicity_detection.mlflow
export MLFLOW_TRACKING_USERNAME=trehansalil
export MLFLOW_TRACKING_PASSWORD=88855b61c077c3a7538eda58ac1a8a33eb4d1098
MLflow
DVC
#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
#Policy:
1. AmazonEC2ContainerRegistryFullAccess
2. AmazonEC2FullAccess
- Save the URI: 566373416292.dkr.ecr.us-east-1.amazonaws.com/chicken
#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
python3 -m venv env
source env/bin/activate
pip install -r requirements.txt
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Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?