Gradio

Gradio is an open-source Python library designed to simplify the process of creating user interfaces for machine learning models. It allows developers to build interactive applications quickly, enabling users to input data, make predictions, and visualize results with minimal coding. Gradio is particularly useful for showcasing models, as it provides a user-friendly interface that can be shared easily. Whether you’re working on a text summarization model or any other machine learning application, Gradio streamlines the development process, making it accessible for both technical and non-technical users alike.

Gradio: Beyond the Interface

Towards Data Science

Customise Layouts using Blocks Continue reading on Towards Data Science

How to Build a Simple Generative AI Application with Gradio

Towards AI

Gradio is simply a great choice for creating a customizable user interface for machine learning models to test your proof of concept. Image Source: Hugging Face blog When you have a specific idea in m...

Building a Fast Interactive Dashboard in Jupyter through Gradio

Towards AI

Some days ago, I discovered a very interesting Python package, named Gradio. According to its authors, Gradio permits to build demos for Machine Learning. The package is exploited by machine learning…...

Bringing Your AI Models to Life: An Introduction to Gradio

Level Up Coding

How to demo your ML model quickly without any front-end hassle. Image from gradio.app Machine learning models are increasingly becoming a cornerstone in many industries. After perfecting your model, ...

Effortlessly Deploying Machine Learning Models on Hugging Face Spaces with Gradio

Level Up Coding

A Beginner-Friendly Guide to Building and Hosting Web Apps for Your ML Models First, we’ll guide you through building an interactive web app with Gradio, giving you a solid foundation in its function...

Face skin analyzer with Fast.ai and Gradio

Becoming Human: Artificial Intelligence Magazine

Fast.ai is a revolutionary library created by Jeremy Howard who was a former Kaggle no 1 Grandmaster. He has developed the Fast.ai course and fast.ai library to make deep learning available to anyone....

How I Created Easy Gen AI Demos for Non-Technical Colleagues and Users

Level Up Coding

I have been working in financial services for years, surrounded by colleagues with economic and risk management backgrounds. Some of them are also really good at numbers and models (risk models, credi...

Integrating Gradio-based AI chatbots into Moodle LMS by hosting on Hugging Face: A guide to…

Towards AI

Learn how to use Gradio to integrate AI chatbots into Moodle, host models efficiently and improve your courses. Continue reading on Towards AI

Gradio: graphical interfaces for Machine Learning models

Towards Data Science

Creating Machine Learning models is nowadays becoming increasingly easy thanks to many open-source and proprietary based services (e.g. Python, R, SAS). Although, practitioners might always find it…

GRU

PyTorch documentation

Applies a multi-layer gated recurrent unit (GRU) RNN to an input sequence. For each element in the input sequence, each layer computes the following function: where h t h_t h t is the hidden state a...

Understanding Retention with Gradio

Towards Data Science

How to leverage web applications for analytics Image by DALL-E 3 I remember a moment when I built my first web application. It was around eight years ago, and I was a rather junior analyst and was co...

Supercharge Mistral-7B with GRPO Finetuning: A Beginner-Friendly Tutorial with Code

Towards AI

It was that moment when everyone discovered the rise in the accuracy and the quality of the answers just by adopting this process of thinking before answering. And now with the amazing GRPO (Gradient ...