Trial-Repo

In deployment of AI Assignment 2 we have created a Docker where we deployed a ML model in the docker , trained the model rom the data and test is achieved using the local host. and also cloned the file to our repo. First we created a instance and installed the docker in it.we then setup a docker repo , then installed docker engine. we created a docker file where we wrote the code of the ML model. we trained the model. we created the requirements where we installed all the necessory libraries for Model Training. then we integrated the model with Flask, updated the project repo and built the docker container.we ran the doicker container and observes the prediction on the local host.