End-to-end-Youtube-Sentiment conda create -n youtube python=3.11 -y
conda activate youtube
pip install -r requirements.txt
DVC dvc init
dvc repro
dvc dag
AWS aws configure
Json data demo in postman http://localhost:5001/predict
{ "comments": ["This video is awsome! I loved a lot", "Very bad explanation. poor video"] } chrome://extensions
how to get youtube api key from gcp: https://www.youtube.com/watch?v=i_FdiQMwKiw
AWS-CICD-Deployment-with-Github-Actions
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Login to AWS console.
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Create IAM user for deployment #with specific access
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EC2 access : It is virtual machine
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ECR: Elastic Container registry to save your docker image in aws
#Description: About the deployment
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Build docker image of the source code
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Push your docker image to ECR
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Launch Your EC2
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Pull Your image from ECR in EC2
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Lauch your docker image in EC2
#Policy:
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AmazonEC2ContainerRegistryFullAccess
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AmazonEC2FullAccess
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Create ECR repo to store/save docker image
- Save the URI: 315865595366.dkr.ecr.us-east-1.amazonaws.com/youtube
- Create EC2 machine (Ubuntu)
- Open EC2 and Install docker in EC2 Machine: #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 6. Configure EC2 as self-hosted runner: setting>actions>runner>new self hosted runner> choose os> then run command one by one 7. Setup github secrets: 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