feiyun0112/Gradio.Net

⭐Gradio for .NET – a port of Gradio, an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitrary Python function. Gradio for .NET – 基于 Gradio 的 .NET 移植，Gradio 是一个开源 Python 包，允许你为机器学习模型、API 或任何任意 Python 函数快速构建演示或 Web 应用程序。

What it solves

Gradio.Net is a .NET port of the popular Python Gradio library, designed to let developers build web-based user interfaces for machine learning models, APIs, or C# functions without needing to write JavaScript, CSS, or manage complex web hosting.

How it works

The library provides a high-level abstraction over ASP.NET Core. It allows developers to define UI components (like textboxes, sliders, and chatbots) and link them to C# functions. It offers two primary ways to build apps:

  • gr.Interface: The fastest way to wrap a function into a UI automatically based on its inputs and outputs.
  • gr.Blocks: A more flexible system for providing full layout control and custom event-driven interactions.

Who it’s for

.NET developers who want to quickly prototype and showcase machine learning models or backend logic in a web browser without frontend development expertise.

Highlights

  • No Frontend Experience Required: Build complete web apps using only C# code.
  • ASP.NET Core Integration: Can be integrated into existing ASP.NET Core Web API projects via AddGradio and UseGradio extension methods.
  • Diverse UI Components: Supports a variety of components including textboxes, sliders, markdown, and specialized components for chatbots and media.
  • Rapid Prototyping: Allows for the immediate creation of demos with just a few lines of code.

Related

  • Project
    gradio-app/gradio

    An open-source Python library for quickly building and sharing web applications for machine learning models and APIs without requiring front-end development experience.

  • Dispatch
    Gradio Framework Overview: Beyond UI Library Capabilities

    Hugging Face details how Gradio has evolved into a comprehensive AI-focused framework providing universal API access, server-side rendering, and specialized ML resource management.

  • Dispatch
    Gradio 3.0 Release Notes

    Hugging Face has released Gradio 3.0, featuring a complete frontend redesign and the introduction of Gradio Blocks for building complex, custom ML web apps in Python.

  • Dispatch
    Gradio-Lite: Serverless Gradio Running Entirely in Your Browser

    Hugging Face introduces Gradio-Lite (@gradio/lite), a JavaScript library that uses Pyodide to run Gradio applications directly in the web browser, eliminating the need for server-side infrastructure.

  • Dispatch
    Gradio 5 Release Notes

    Hugging Face has released Gradio 5, a production-ready framework for building performant, scalable, and secure machine learning web applications using Python.