MLUI: Django HTML Templates

I explain how to create a Web page in Django using HTML templates and add URL routing to Django view.

 

MLUI: Django App Setup

UI plays an essential part for ML apps, it helps build access to ML model API. With friendly and usable UI there are more chances for ML project to be successful. I'm building UI for our ML product Sparrow (data extraction from the documents). I will be explaining in the series of videos, how to build UI (including security, data model, etc.) for ML project. Stay tuned, it will be fun and lots to learn.

 

MLOps: Simple Kubernetes with Skipper

Kubernetes can be very complex, this is why we created Skipper. Simple and flexible MLOps workflow engine, it helps to run ML (and not only) workloads on Kubernetes. Skipper comes with all the scripts to setup and run microservices infrastructure on Kubernetes. Try it and enjoy!

 

File Upload with PyScript

I explain how to implement file upload functionality with PyScript in the browser. File content is converted to Pandas and displayed in the table. All UI components are native Python. I show how to interact with HTML DOM structure from PyScript.

 

Data Annotation with SVG and JavaScript

I explain how to build a simple data annotation tool with SVG and JavaScript in HTML page. The sample code renders two boxes in SVG on top of the receipt image. You will learn how to select and switch between annotation boxes. Enjoy!

 

PyScript - Deep Dive for Developer

PyScript was announced last week at PyCon US 2022. Good news for all Python developers, now we can run Python logic serverless in the browser. This video is deep dive, with a step-by-step explanation of the sample application code. It includes an input component, chart, and table. I explain how to update UI when the input component changes. Hope this will be useful for your practical knowledge.

 

PyScript - Python in the Browser

Exciting times! On PyCon US 2022 it was announced about PyScript. With PyScript framework, we can run regular Python code directly in the browser, included in py-script tag. This opens lots of new possibilities for serverless Python applications, using the same API and libraries you used to code on the server-side. Think about the browser as VM that runs your code.