-
Notifications
You must be signed in to change notification settings - Fork 0
Chanchal-D/AI-web-app
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
Creating a web application with artificial intelligence (AI) doesn't need to involve a lot of code or creating services from scratch. Let's imagine we wanted to create a website that can translate text for the user. For the front end, we want something that will allow us to integrate our services without having to jump through a lot of hoops. A framework like Flask is a perfect choice. Flask is described by its creators as a "micro-framework", meaning it provides the core services required, such as routing and templating, but otherwise allows you to use whatever backend services your application needs. It's also lightweight, making it quick to set up and deploy. We don't need a database or anything fancy. We just need a framework to create our UI, and be able to call the back-end service. For the back end, rather than creating a machine learning model on your own, you can use a collection of AI services (known as Azure Cognitive Service). These services can either be accessed via an SDK or an HTTP call. We can use the Translator service to meet our primary goal of translating text.
About
Build an AI web app by using Python and Flask
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published