Building and Deploying a GAN Streamlit Web App on Heroku [Part 2]
Last Updated on July 17, 2023 by Editorial Team
Author(s): Youssef Hosni
Originally published on Towards AI.
Table of Contents:
![Building and Deploying a GAN Streamlit Web App on Heroku [Part 2] Building and Deploying a GAN Streamlit Web App on Heroku [Part 2]](https://miro.medium.com/v2/resize:fit:875/1*cYHuPy24V-HyPV56PnX28A.png)
One of the most fascinating applications of AI is in the field of image generation, which has been made possible by the development of Generative Adversarial Networks (GANs).
In this article, we will explore how to build and deploy a GAN Streamlit web app on Heroku. This is the second part of the series, and we will focus on the next steps after creating the GAN model. We will discuss how to create a GitHub repository for the application, create files such as requirements.txt, setup.sh, and Procfile, and finally, connect to Heroku for deployment.
By the end of this article, you will… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.