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 --------------------- Part 1/3: - In-depth Face style transfer tutorial (https://www.youtube.com/watch?v=uXBbY1_vhSQ) Part 2/3: Code walk-through with detailed theory (https://www.youtube.com/watch?v=K1qPbjrJuKA) Part 3/3: Model Export & Deployment (https://www.youtube.com/watch?v=lMl7Yd7jC6A) GitHub Resources: - https://github.com/prodramp/DeepWorks/tree/main/JoJoGAN - https://github.com/gradio-app/gradio ▬▬▬▬▬▬ ⏰ 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 ------------------ - Prodramp LLC (@prodramp) - Website - https://prodramp.com/ - LinkedIn - https://www.linkedin.com/company/prodramp - GitHub- https://github.com/prodramp/ - AngelList - https://angel.co/company/prodramp - Facebook - https://www.facebook.com/Prodramp Content Creator: Avkash Chauhan (@avkashchauhan) - https://www.linkedin.com/in/avkashchauhan - https://twitter.com/avkashchauhan Tags: #stylegan #gradio #ml #cnn #ml #lime #aicloud #h2oai #driverlessai #machinelearning #cloud #mlops #model #collaboration #deeplearning #modelserving #modeldeployment #pytorch #datarobot #datahub #streamlit #modeltesting #codeartifact #dataartifact #modelartifact #onnx #aws #kaggle #mapbox #lightgbm #xgboost #classification #dataengineering #pandas #keras #tensorflow #tensorboard #cnn #prodramp #avkashchauhan #LIME #mli #xai