Build machine learning apps in Python
Create web interfaces for your ML models in minutes. Deploy anywhere, share with anyone.
Everything you need to build
Gradio handles the frontend so you can focus on building. From prototypes to production-ready web apps.
Lightning Fast Setup
One command to install. A few lines of Python to launch. No Javascript, CSS, or frontend experience required.
$ pip install gradio
Successfully installed gradio
$ python app.py
Running on http://127.0.0.1:7860
40+ Components
Input and output for any data type: Images, Audio, Video, 3D, Dataframes, and more.
Permanent Hosting
Deploy to Hugging Face Spaces for free. Always online, auto-scaling, and shareable with a simple URL.
Share Instantly
Create a public link to your machine learning demo running on your local computer in seconds. Great for showing clients or colleagues.
import gradio as gr
def greet(name):
return "Hello " + name + "!"
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch() 
We love @Gradio.
It helped us scale to our first million users. Amazing and undervalued that Gradio can do this.
cc @_akhaliq
Gradio was love at first sight..so easy to use
Just tried out @Gradio and I am very impressed. Only took like 10mins to put together a #tts demo.
I love how easy is to build quick prototypes with @Gradio ⚡️ this one took me 45 minutes with no previous experience with the library
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.
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.
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 ❤
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.
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.