Building and Deploying a GAN Streamlit Web App on Heroku [Part 1]

Author(s): Youssef Hosni

Originally published on Towards AI.

Table of Content:

Generative Adversarial Networks (GANs) are a type of deep learning architecture that has become increasingly popular for generating new and realistic data, such as images, videos, and audio.

Building a GAN model is one thing, but deploying it as a user-friendly web application is another challenge altogether. In this two-part article, we will explore how to build and deploy a GAN Streamlit web application on the Heroku platform.

In part 1 we will cover the background and problem statement, set up the working environment, load a pre-trained GAN model and images, and build the Streamlit web application. Part 2 will focus on… Read the full blog for free on Medium.

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Published via Towards AI