# AI Model Deployment with Docker and Kubernetes
Developing Basic Flower Image Classification AI model for deployment with docker and Kubernetes.
Used the Google Apis flower image dataset to train my model.
## Setup Instructions:
Step 1: Develop the AI Model
-> Install all the required packages included in the "Requirements.txt" file.
Step 2: Run Flask App:
-> python webapp.py
Step 3: Set up a Deployment Pipeline
-> Create a Dockerfile
-> Build Docker Image using the command:
" docker build -t kushmanda_Task . "
-> Run the Docker container locally:
"docker run -p 5000:5000 kushmanda_Task"
Step 4: Kubernetes Deployment
-> Deploy to Kubernetes using the command:
"kubectl apply -f my-kubernete.yaml"