How to Create an Appealing Frontend for Your ML Application with Vercel V0

Develop an appealing frontend application using v0 by Vercel

Developing a clean and appealing website for your ML application can be difficult, especially if your primary work consists of backend or machine learning tasks. Personally, I mostly work on developing ML models and automation tasks, meaning I don't spend a lot of time writing frontend code or working with design. I often use Streamlit to deploy my machine learning models quickly, and I still think Streamlit has its place for quickly making machine learning models available. However, Streamlit should only be used for initial testing; if you want to attract consumers to your website, you have to develop a better-looking page to intrigue and retain the consumers going to your page.

In this article, I will describe how I used v0 by Vercel to quickly develop a nice-looking website for my RAG search application for Norwegian court rulings. I have previously written a separate article about developing the RAG search. The best part is that it is completely free to use, and as long as you stay within the quota of prompts, you are provided with them without cost.

In this article, I write about how you can use v0 by Vercel to develop an appealing looking frontend application, with little frontend experience. Image by ChatGPT.

Disclaimer: I am not affiliated with or have any relationship with v0 by Vercel. It is simply a tool I have used…