Prototyping With Gradio

让我们从 SCRATCH 一起构建和部署您的机器学习模型的 DEMO！有时最好的学习方式不是学习大量页面，而是开始与专家一起做事。在本课程中，您将被邀请与我一起逐步编码和制作演示，一个接一个的指导。使用 GRADIO 从头开始​​构建和部署您的机器学习模型的简单和更高级的演示是获取的最佳方式创建任何类型的 Web 界面所需的所有技能，如您所愿。使用这种方法，您将在一瞬间从零变成英雄！在这些视频中，我们将了解如何利用名为 GRADIO 的令人难以置信的框架构建一个简单的界面和一个简单的相关 DEMO。

概述

第 1 节：处理接口

第1讲Gradio简介

第2讲Gradio 1st接口

第 3 讲文本、图像和数据框

第 4 讲多输入和多输出

第 5 讲 调试和标记

第 6 讲 UI 和 UX 改进

第 2 节：高级功能

第7讲 登录与认证

第 8 讲 Huggingface 空间的部署

AI 专业人士、Python 程序员、机器学习学生、计算机科学专业学生、IT 爱好者

Build and Deploy your DEMOs from Scratch with the incredible GRADIO! Seat with me and start CODING TOGETHER!

Published 6/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.28 GB | Duration: 3h 13m

What you’ll learn

Building complete DEMOs of your Machine Learning Models from Scratch using Gradio
Getting strong Skills about ALL Gradio’s Basic and Advanced Features
Deploying your DEMOs on Huggingface Spaces
Managing TextBox, Images, Checkbox, Multiple Inputs/Outpus, Authentication, Logging, Flagging and APIs in Gradio
Requirements
Python (or any programming language) basic knowledge

Description

Let’s build-up and deploy DEMOs of your Machine Learning Models together from SCRATCH!Sometimes the best way to learn is not study tons of pages but start doing things together with experts. In this course you are invited to seat together with me coding and making DEMOs step-by-step, instruction after instruction.Building-up and Deploying simple and more advanced DEMOS of your Machine Leaning Models from Scratch using GRADIO is the best way to acquire all the SKILLS needed to create any kind of web Interface as complex and as big as you want. With this approach you will move from zero to hero in a real blink of an eye!In these videos we see how to build up a simple Interface and a simple related DEMO leveraging the incredible framework named GRADIO.In the Advanced Part we learn how to give Login and Authentication features to our DEMOs and how to manage the API to use our Machine Leaning Models with a simple POST call.Once our Interfaces and DEMOs are completed and tested we publish them online using Huggingface Spaces.No installations required at all on your machine, we are doing everything online with Google Colab and Huggingface Spaces (for sure if you want you can use you local Jupyter Notebook installation).Don’t hesitate to contact me for any kind of question!CHEERS!

Overview

Section 1: Dealing with Interfaces

Lecture 1 Introduction to Gradio

Lecture 2 Gradio 1st Interface

Lecture 3 Text, Image and Data Frame

Lecture 4 Multiple Inputs and Multiple Outputs

Lecture 5 Debugging and Flagging

Lecture 6 UI and UX Improvement

Section 2: Advanced Features

Lecture 7 Login and Authenticatrion

Lecture 8 Deployment on Huggingface Spaces

AI Professionals, Python Programmers, Machine Learning Students, Computer Science Students, IT Passionates