Главная
Study mode:
on
1
- Video Starts
2
- Video Content Review
3
- What is covered?
4
- Why Gradio?
5
- Setting JoJoGAN in Colab
6
- Copying models to Colab
7
- Inference code as function
8
- GPU Tensor to CPU numpy conversion
9
- Python gradio app interface
10
- Python gradio app launch
11
- Testing app in as public link
12
- Export notebook to GitHub
Description:
Learn how to deploy a machine learning model using the Python Gradio library in Google Colab with this hands-on tutorial. Explore the process of implementing the JoJoGAN face style transfer model, covering topics such as setting up JoJoGAN in Colab, copying models, writing inference code as a function, converting GPU tensors to CPU numpy arrays, creating a Gradio app interface, launching the app, and testing it as a public link. Gain practical experience in ML model deployment and web application development while working with cutting-edge face stylization technology.

Gradio AI Web Application - Hands-On Python Example With JoJoGAN Face Stylization Model

Prodramp
Add to list