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Asteroid: How I built a Comet Browser Clone using Streamlit and TavilySearch — Part 1
Latest   Machine Learning

Asteroid: How I built a Comet Browser Clone using Streamlit and TavilySearch — Part 1

Last Updated on October 7, 2025 by Editorial Team

Author(s): Dwaipayan Bandyopadhyay

Originally published on Towards AI.

Asteroid: How I built a Comet Browser Clone using Streamlit and TavilySearch — Part 1

We are all familiar with Perplexity AI and their popular product, Comet Browser, which has revolutionised how we surf the internet. After using that hands-on, I got an idea, I wanted to replicate the same (well, not the entire backend, but how they display the results to the users). In this article, I will walk through the simple approach I took to build a simple clone of the Comet Browser (This will be a 2-part story, as in the next part, I will make that better by integrating a Chatbot logic just like the Browser)

Asteroid: How I built a Comet Browser Clone using Streamlit and TavilySearch — Part 1

Source : Image by Author

The article outlines the author’s journey in replicating the functionality of Comet Browser using Streamlit and TavilySearch. It begins with a prerequisite understanding of Python and Streamlit, followed by an explanation of how the Comet Browser operates by answering user queries through three sections: Assistant, Sources, and Images. The author provides a step-by-step guide on creating an account with Tavily for API access and the coding framework necessary to build the application, culminating in an emphasis on upcoming improvements and the importance of visual outputs.

Read the full blog for free on Medium.

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