How do you serve a model using Docker to deploy a GAN for image generation

Question

Can you explain, with code help, how to serve a model using docker to deploy a GAN for image generation?

Answer 1

You can serve a model using Docker to deploy a GAN for image generation by referring to the following:

• Prepare the GAN Model and Save It
  • Save the trained GAN model and necessary preprocessing code.
• Create a Flask App for Serving the GAN
  • Write a Python script (app.py) to load the model and handle requests.
• Write a Dockerfile
  • Create a Dockerfile to package the Flask app
• Build and Run the Docker Container
  • Build the Docker image and run it locally or deploy it to your preferred cloud platform

Here is the code you can refer to:

Hence, this setup serves your GAN model via a REST API. Clients can send requests to the /generate endpoint to generate images.