An experienced data scientist would agree. Building Machine learning models are highly iterative.
The critical challenge for a data scientist is to prototype the model as fast as possible. What they need is a quicker way to build apps around their work.
Only then can they share their model with others for evaluation and collect feedback.
Yet, building an app requires a lot of HTML, CSS, and JavaScript knowledge. Also, hosting them is a different challenge.
But with tools like this, Data scientists can build apps at no time only using Python. They can also deploy the app on Hugginface spaces and share it with others.
This article walks you through the steps you need to build web UI's around your ML models.
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