--- title: README emoji: 💻 colorFrom: indigo colorTo: gray sdk: static pinned: false ---
We are happy to invite you to the Gradio Blocks Party - a community event in which we will create interactive demos for state-of-the-art machine learning models. Demos are powerful because they allow anyone — not just ML engineers — to try out models in the browser, give feedback on predictions, identify trustworthy models. The event will take place from May 16th to 31st. We will be organizing this event on Github and the Hugging Face discord channel. Prizes will be given at the end of the event, see: Prizes
We will be building demos using the new Gradio Blocks API. Blocks allows you to build web-based demos in a flexible way using the Gradio library. Gradio is a popular choice for building demos for machine learning models, as it allows you to create UIs from Python. For example, here is a UI for Dall-E Mini using Gradio Blocks:
Gradio is a Python library that allows you to quickly build web-based machine learning demos, data science dashboards, or other kinds of web apps, entirely in Python. These web apps can be launched from wherever you use Python (jupyter notebooks, colab notebooks, Python terminal, etc.) and shared with anyone instantly using Gradio's auto-generated share links. To learn more about Gradio see the Getting Started Guide: https://gradio.app/getting_started/ and the new Course on Huggingface about Gradio: Gradio Course.
Gradio can be installed via pip and comes preinstalled in Hugging Face Spaces, the latest version of Gradio can be set in the README in spaces by setting the sdk_version for example sdk_version: 3.0.1
pip install gradio
to install gradio locally
gradio.Blocks
is a low-level API that allows you to have full control over the data flows and layout of your application. You can build very complex, multi-step applications using Blocks.
If you have already used gradio.Interface, you know that you can easily create fully-fledged machine learning demos with just a few lines of code. The Interface API is very convenient but in some cases may not be sufficiently flexible for your needs. For example, you might want to:
to learn more about Blocks see the guide https://www.gradio.app/introduction_to_blocks/
Spaces are a simple way to host ML demo apps directly on your profile or your organization’s profile on Hugging Face. This allows you to create your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the ML ecosystem. Learn more about spaces here.
Hugging Face Spaces is a free hosting option for Gradio demos. Spaces comes with 3 SDK options: Gradio, Streamlit and Static HTML demos. Spaces can be public or private and the workflow is similar to github repos. There are over 2000+ Gradio spaces currently on Hugging Face. Learn more about spaces here: https://huggingface.co/docs/hub/spaces
main components of the event consist of:
Participants will be building and sharing Gradio demos using the Blocks feature. We will share a list of ideas of spaces that can be created using blocks or participants are free to try out their own ideas. At the end of the event, spaces will be evaluated and prizes will be given.
Once a model has been picked from the choices above, you can share a model in a Space using Gradio. Read more about how to add Gradio spaces: https://huggingface.co/blog/gradio-spaces
Steps to add Gradio Spaces to the Gradio Blocks Party org
See Leaderboard: https://huggingface.co/spaces/Gradio-Blocks/Leaderboard