Installation

Docker Install

1. Clone the repository

git clone https://github.com/PierreExeter/MLOps-Pipeline-Deployment

2. Build the image

docker build -t insurancemodel.azurecr.io/mlops-insurance-prediction:latest .

The diferent elements in this command are :

• Azure registry name : insurancemodel.azurecr.io

• Docker image name : mlops-insurance-prediction

• tag : latest

3. Run the Docker container

docker run -d -p 5000:5000 insurancemodel.azurecr.io/mlops-insurance-prediction

The web app is served on http://localhost:5000/

4. Open the container (optional)

docker exec -it <container-id> /bin/bash

5. Stop the container

docker stop <container-id>

Local Install

1. Clone the repository

git clone https://github.com/PierreExeter/MLOps-Pipeline-Deployment

2. Install the dependencies

conda create -n pycaret-env python=3.11 -y
conda activate pycaret-env
pip install -U -r requirements.txt

3. Train the model

python src/train_model.py

4. Run the app locally

# development
python src/app.py

# production
python src/app.py --production

The web app is served on http://localhost:5000/