AbdullahMakhdoom/Karoba-Chatbot

A deep learning chatbot created with Python and Flask, that can tell interesting facts about South Africa. Deployed to production using Kubernetes # python-deep-learning-chatbot A deep learning chatbot created with Python and Flask. ### Docker Go to root directory of this repo. Build the docker using the following command : ``` docker build -t chatbot_flask . ``` After successful build, run the docker container using the following command : ``` docker run chatbot_flask ``` ### Minikube This is the tool used to run Kubernetes locally, for your OS. This includes installing a hypervisor and `kubectl`, the command-line tool used to manage Kubernetes from your local workstation. Start Minikube cluster using the following command : ``` minikube start ``` Set the environment variable : ``` eval $(minikube docker-env) ``` Create the docker image ``` docker build -t chatbot_flask . ``` Verify the image was created ``` docker image ls ``` Create deployments using following command : ``` kubectl create --filename deployment.yaml ``` Verify deployment ``` kubectl get deployments ``` Create deployments using following command : ``` kubectl create --filename service.yaml ``` Verify services ``` kubectl get services ``` Run the following command to view the replicas of pods (containers). ``` kubectl get pods ``` Note : All the 3 pods are running in single nod. Start the chatbot app. ``` minikube service python-deep-learning-chatbot ``` Generate a network tunnel from my host machine to the minikube cluster to route traffic. ``` minikube tunnel ``` It will prompt for sudo password. Now from another terminal, run the following command to view the running services' External-IP : ``` kubectl get services ``` Open `http:// :8888` in the browser to go to the Karoba Chatbot Flask web app.