![]() ![]() You will see the following message - “Welcome to TutorialsPoint” This means that your flask application is successfully running on the container can be accessed through port 5001 on your local machine. Do not use it in a production deployment. You will see something like this appearing on the screen.Įnvironment: production WARNING: This is a development server. Inside the bash, run the command - python3 app.py The above command runs the image by connecting the ports and opens the bash. sudo docker run -ti -p 5001:5001 flaskproject bash (don’t forget the dot)Īfter building the image, run the bash inside the docker container using an interactive shell through the following command. Now, build the image using the following command. It then exposes the port 5001 which would run our flask application and using CMD command, it runs the app.py file. It then runs an update command and installs flask which is mentioned in the requirements file. It sets a working directory and then copies all the files from the host machine to the docker server. The dockerfile created above creates an ubuntu base image with python installed in it. #Create a ubuntu base image with python 3 installed. Inside the dockerfile, copy the following code. This file would contain all the commands that would help you build the docker image. ![]() Now, inside the root directory, create another file called dockerfile. Hence, inside the file, only include “flask” (Without inverted commas). For this project, we only need Flask library to be installed. This file would contain a list of packages to be installed. You can copy the above code inside the app.py file which displays a simple welcome statement.Ĭreate another file called requirements.txt. #Create a route decorator to tell the application, which URL should be called for the #described function and define the tutorialspoint(): ![]() It takes name of the current module as the argument Write a simple flask code inside the file. Move to that directory and create a python file. You can follow the steps mentioned below to do the same. In this article, we will be discussing how to build a simple application using flask and convert that into a docker image by containerizing it. You can use similar techniques to build and deploy other python frameworks as well. ![]() You can easily build a flask application, manage it and make it portable all using a single technology, docker. It provides a packed environment and allows developers to make portable applications by containerizing them. Docker allows you to build, manage and deploy applications inside containers. ![]()
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