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Build & share delightful machine learning apps

Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere!

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import gradio as gr

def greet(name):
return "Hello " + name + "!"

demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()

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## Fast, easy setup

Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project.

Seamlessly use any python library on your computer. If you can write a python function, gradio can run it.

## Present and share

Gradio can be embedded in Python notebooks or presented as a webpage.

A Gradio interface can automatically generate a public link you can share with colleagues that lets them interact with the model on your computer remotely from their own devices.

## Permanent hosting

Once you've created an interface, you can permanently host it on Hugging Face.

Hugging Face Spaces will host the interface on its servers and provide you with a link you can share.

## Used by

Anastasios Nikolas Angelopoulos @ml\_angelopoulos

We love @Gradio.

It helped us scale to our first million users. Amazing and undervalued that Gradio can do this.

cc @\_akhaliq

Jaydeep @\_jaydeepkarale

Gradio was love at first sight..so easy to use

Will Rice @\_Will\_Rice

Just tried out @Gradio and I am very impressed. Only took like 10mins to put together a #tts demo.

Art Litvinau @ArtLitvinau

I love how easy is to build quick prototypes with @Gradio ⚡️ this one took me 45 minutes with no previous experience with the library

Shirochenko Dmitriy @dmshirochenko

Spent the weekend prototyping LLM interfaces directly in Python. @gradio\-app is a game changer for rapid UI development. Forget wrestling with JS/CSS; share your model in seconds. Thinking this unlocks serious iteration speed.

iCode2 @Ifeanyidiaye

Apart from being very easy to use, one thing that I simply love about @Gradio is its Javascript client, which makes it easy to build a nice HTML frontend for Python applications. This integration makes me rank gradio high in my list of favorite Python libraries.

Amar Saini @\_Epoching\_

Just built a ️@Gradio app for a video related deep learning project.
I’m astonished by how simple it is to use & how elegant it looks! Lots and lots of great features & flexibility. Thanks for making this ❤

Roxana Daneshjou MD/PhD @RoxanaDaneshjou

Honestly, without @Gradio, we would not be doing a real time AI trial. We have many other ideas for algorithms we want to test through clinical trials, and we know it's possible thanks to @Gradio.

Vinay Prabhu @vinayprabhu

Dear #MachineLearning twitter,
If you haven't typed:
$ pip install gradio
yet, now would be a damn good time.
Especially if you are working in computer vision & deploying models in the real world.

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