The chicken disease classification project aims to develop a system that can accurately identify and classify diseases in chickens based on their symptoms

1. Update config.yaml
2. Update secrets.yaml
3. Update params.yaml
4. Update entity
5. Update configuration manage in src config
6. Update components
7. Update Pipelines
8. Update main.py
9. Update dvc.yaml

Clone the repository

https://github.com/Mohshaikh23/Chicken-Disease-Classification.git

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

1. dvc init
2. dvc repro
3. dvc dag

#with specific access

1. EC2 access : It is virtual machine

2. ECR: Elastic Container registry to save your docker image in aws

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: 238155895877.dkr.ecr.us-east-1.amazonaws.com/chicken

#optinal

sudo apt-get update -y

sudo apt-get upgrade

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>> 238155895877.dkr.ecr.us-east-1.amazonaws.com

ECR_REPOSITORY_NAME = simple-app

s3cEZKH5yytiVnJ3h+eI3qhhzf9q1vNwEi6+q+WGdd+ACRCZ7JD6

docker build -t chickenapp.azurecr.io/chicken:latest .

docker login chickenapp.azurecr.io

docker push chickenapp.azurecr.io/chicken:latest

1. Build the Docker image of the Source Code
2. Push the Docker image to Container Registry
3. Launch the Web App Server in Azure
4. Pull the Docker image from the container registry to Web App server and run