Gradio AI web application: Hands-on Python example with JoJoGAN face stylization model

In this hand-on Python tutorial, you will learn how to deploy your ML model with python gradio library while running it at the Google Colab. I am using the JoJoGAN face style transfer model which we have covered in previous videos as source model to be deployed with gradio.

---------------------- One-shot Face Stylization with JoJoGAN ----------------------

GitHub Resources:

▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬
- (00:00) Video Starts
- (00:11) Video Content Review
- (03:37) What is covered?
- (04:13) Why Gradio?
- (05:30) Setting JoJoGAN in Colab
- (06:40) Copying models to Colab
- (08:44) Inference code as function
- (10:05) GPU Tensor to CPU numpy conversion
- (12:10) Python gradio app interface
- (13:40) Python gradio app launch
- (14:15) Testing app in as public link
- (15:20) Export notebook to GitHub

Connect
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