Showcase Your Projects in Spaces using Gradio

1. 1Define the Interface in Gradio with the repository ID of the model, description, title, and example inputs
2. 2Call .launch() to start the demo
3. 3Use Hugging Face Spaces to host the demo app in Python

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

💡 Gradio integration with Hugging Face Hub allows for seamless demoing of models with few lines of code

💡 Showcase your ML projects in @huggingface Spaces using @gradio!