Hugging Face Gradio Python UI for ML

I dive into Gradio UI with Python, which is now part of Hugging Face. This is a very cool and simple to use library, it helps to build UI for ML models quickly. This is useful to share ML models with the community and run quick demos to showcase your ML model capabilities. I explain app code structure and how you can map ML model inputs and outputs with Gradio.

 

TensorFlow.js Node on Docker and Kubernetes

I explain how to dockerize TensorFlow.js Node app and also run it on Kubernetes. This work was done as part of our open-source MLOps solution Skipper.

 

TensorFlow.js Microservice

Do you know you could run TensorFlow.js on backend with Node.js? I explain how to build microservice with TensorFlow.js based on sample MobileNet model for image classification. I'm using Skipper Lib JS lib to communicate to RabbitMQ and receive/deliver events. You will learn about the code structure, which can be used as a blueprint for your own JS microservice implementations.

 

Building Bigger Applications with FastAPI

I share a few tips and tricks on how to build a clean and readable REST API for larger apps with FastAPI framework. You will learn how to split endpoints into separate Python scripts and assign tags with prefixes for all endpoints from the given router at once.