Setting Up User Login
User authentication is the first step in building any app that needs to track who’s who — like one with user credits 👀 — and with Streamlit’s new native authentication features, it’s easier than ever!
Build a Credit Payment System in Streamlit for Gen AI Apps
Ready to turn your Streamlit app into a pay-per-use service? In this series, we’ll build a credit-based payment system that’s perfect for generative AI apps. You’ll learn how to set up user logins, connect to a database, and integrate Stripe payments in Streamlit — all while creating a smooth credit-based pricing system. We’ll also dive into LLM API integration and wrap it up with tips on Streamlit production deployment. It’s a straightforward, step-by-step guide to launching your pay-per-use Streamlit app in no time.
Want to see an example? SimplyPlot uses a credit system for monetisation - it writes Matplotlib code for you, so you can stop troubleshooting your plots.
Connecting To A Database
Need to store user credits securely? In this post, we’ll show you how to hook your Streamlit app up to a database — with row-level security, secret-handling best practices, and a quick table setup walkthrough.
Integrating Stripe CheckoutsDraft
Ready to start charging for your app? In this post we will learn how to set up a pay-per-use system — from creating Stripe Checkout sessions to listening to webhooks.
Calling LLM APIsDraft
Ready for your app to do something? In this post learn how to query an LLM API — including measuring costs and removing credits from users.
Deploying Your AppDraft
You’ve built something awesome — now it’s time to share it with the world! Learn the ins and outs of deploying your Streamlit app on Streamlit Cloud, it’s (almost) as simple as a single click.