1. Update config.yaml
2. Update secrets.yaml [Optional]
3. Update params.yaml
4. Update the entity
5. Update the configuration manager in src config
6. Update the components
7. Update the pipeline
8. Update the main.py
9. Update the dvc.yaml

Clone the repository

https://github.com/the-silent-geek/End-to-End-ML-Project

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

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

docker login chickenapp.azurecr.io/chicken

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