Showcase Your Projects in Spaces using Gradio
📰 Hugging Face Blog
Showcase machine learning projects in Hugging Face Spaces using Gradio
Action Steps
- Define the Interface in Gradio with the repository ID of the model, description, title, and example inputs
- Call .launch() to start the demo
- Use Hugging Face Spaces to host the demo app in Python
Who Needs to Know This
Data scientists and machine learning engineers can benefit from using Gradio to demo their models in Hugging Face Spaces, making it easier to share and collaborate with others
Key Insight
💡 Gradio integration with Hugging Face Hub allows for seamless demoing of models with few lines of code
Share This
💡 Showcase your ML projects in @huggingface Spaces using @gradio!
Key Takeaways
Showcase machine learning projects in Hugging Face Spaces using Gradio
Full Article
Published Time: 2021-10-05T00:00:00.031Z
# Showcase Your Projects in Spaces using Gradio
[Hugging Face](https://huggingface.co/)
* [Models](https://huggingface.co/models)
* [Datasets](https://huggingface.co/datasets)
* [Spaces](https://huggingface.co/spaces)
* [Buckets new](https://huggingface.co/storage)
* [Docs](https://huggingface.co/docs)
* [Enterprise](https://huggingface.co/enterprise)
* [Pricing](https://huggingface.co/pricing)
*
*
* * *
* [Log In](https://huggingface.co/login)
* [Sign Up](https://huggingface.co/join)
[Back to Articles](https://huggingface.co/blog)
# [](https://huggingface.co/blog/gradio-spaces#showcase-your-projects-in-spaces-using-gradio) Showcase Your Projects in Spaces using Gradio
Published October 5, 2021
[Update on GitHub](https://github.com/huggingface/blog/blob/main/gradio-spaces.md)
[- [x] Upvote 14](https://huggingface.co/login?next=%2Fblog%2Fgradio-spaces)
* [](https://huggingface.co/mrdbourke "mrdbourke")
* [](https://huggingface.co/VanshGehlot "VanshGehlot")
* [](https://huggingface.co/silvaKenpachi "silvaKenpachi")
* [](https://huggingface.co/kian182 "kian182")
* [](https://huggingface.co/Canstralian "Canstralian")
* [](https://huggingface.co/balaji1233 "balaji1233")
* +8
[](https://huggingface.co/merve)
[merve merve Follow](https://huggingface.co/merve)
* [Hugging Face Hub Integration in Gradio](https://huggingface.co/blog/gradio-spaces#hugging-face-hub-integration-in-gradio "Hugging Face Hub Integration in Gradio")
* [Serving Custom Model Checkpoints with Gradio in Hugging Face Spaces](https://huggingface.co/blog/gradio-spaces#serving-custom-model-checkpoints-with-gradio-in-hugging-face-spaces "Serving Custom Model Checkpoints with Gradio in Hugging Face Spaces")
* [Mix and Match Models!](https://huggingface.co/blog/gradio-spaces#mix-and-match-models "Mix and Match Models!")
* [Uploading your Models to the Spaces](https://huggingface.co/blog/gradio-spaces#uploading-your-models-to-the-spaces "Uploading your Models to the Spaces")
It's so easy to demonstrate a Machine Learning project thanks to [Gradio](https://gradio.app/).
In this blog post, we'll walk you through:
* the recent Gradio integration that helps you demo models from the Hub seamlessly with few lines of code leveraging the [Inference API](https://huggingface.co/inference-api).
* how to use Hugging Face Spaces to host demos of your own models.
## [](https://huggingface.co/blog/gradio-spaces#hugging-face-hub-integration-in-gradio) Hugging Face Hub Integration in Gradio
You can demonstrate your models in the Hub easily. You only need to define the [Interface](https://gradio.app/docs#interface) that includes:
* The repository ID of the model you want to infer with
* A description and title
* Example inputs to guide your audience
After defining your Interface, just call `.launch()` and your demo will start running. You can do this in Colab, but if you want to share it with the community a great option is to use Spaces!
Spaces are a simple, free way to host your ML demo apps in Python. To do so, you can crea
# Showcase Your Projects in Spaces using Gradio
[Hugging Face](https://huggingface.co/)
* [Models](https://huggingface.co/models)
* [Datasets](https://huggingface.co/datasets)
* [Spaces](https://huggingface.co/spaces)
* [Buckets new](https://huggingface.co/storage)
* [Docs](https://huggingface.co/docs)
* [Enterprise](https://huggingface.co/enterprise)
* [Pricing](https://huggingface.co/pricing)
*
*
* * *
* [Log In](https://huggingface.co/login)
* [Sign Up](https://huggingface.co/join)
[Back to Articles](https://huggingface.co/blog)
# [](https://huggingface.co/blog/gradio-spaces#showcase-your-projects-in-spaces-using-gradio) Showcase Your Projects in Spaces using Gradio
Published October 5, 2021
[Update on GitHub](https://github.com/huggingface/blog/blob/main/gradio-spaces.md)
[- [x] Upvote 14](https://huggingface.co/login?next=%2Fblog%2Fgradio-spaces)
* [](https://huggingface.co/mrdbourke "mrdbourke")
* [](https://huggingface.co/VanshGehlot "VanshGehlot")
* [](https://huggingface.co/silvaKenpachi "silvaKenpachi")
* [](https://huggingface.co/kian182 "kian182")
* [](https://huggingface.co/Canstralian "Canstralian")
* [](https://huggingface.co/balaji1233 "balaji1233")
* +8
[](https://huggingface.co/merve)
[merve merve Follow](https://huggingface.co/merve)
* [Hugging Face Hub Integration in Gradio](https://huggingface.co/blog/gradio-spaces#hugging-face-hub-integration-in-gradio "Hugging Face Hub Integration in Gradio")
* [Serving Custom Model Checkpoints with Gradio in Hugging Face Spaces](https://huggingface.co/blog/gradio-spaces#serving-custom-model-checkpoints-with-gradio-in-hugging-face-spaces "Serving Custom Model Checkpoints with Gradio in Hugging Face Spaces")
* [Mix and Match Models!](https://huggingface.co/blog/gradio-spaces#mix-and-match-models "Mix and Match Models!")
* [Uploading your Models to the Spaces](https://huggingface.co/blog/gradio-spaces#uploading-your-models-to-the-spaces "Uploading your Models to the Spaces")
It's so easy to demonstrate a Machine Learning project thanks to [Gradio](https://gradio.app/).
In this blog post, we'll walk you through:
* the recent Gradio integration that helps you demo models from the Hub seamlessly with few lines of code leveraging the [Inference API](https://huggingface.co/inference-api).
* how to use Hugging Face Spaces to host demos of your own models.
## [](https://huggingface.co/blog/gradio-spaces#hugging-face-hub-integration-in-gradio) Hugging Face Hub Integration in Gradio
You can demonstrate your models in the Hub easily. You only need to define the [Interface](https://gradio.app/docs#interface) that includes:
* The repository ID of the model you want to infer with
* A description and title
* Example inputs to guide your audience
After defining your Interface, just call `.launch()` and your demo will start running. You can do this in Colab, but if you want to share it with the community a great option is to use Spaces!
Spaces are a simple, free way to host your ML demo apps in Python. To do so, you can crea
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