Analysing Whatsapp Group Chats using StreamLit— Part II

Author(s): Saiteja Kura

Originally published on Towards AI.

The output —

A screenshot the web app.

Don’t be satisfied with “almost” completing a task. Continue until you complete it.

In data science, it is important to work on real-time projects. It is equally important to share your work with the world which ensures that we receive constant feedback and can enhance the performance of our application. Jupyter Notebooks, Google Colab links are a good way to share our work. But in most cases, a client or the end-user is a person with minimal technical knowledge. How do you share your work with them?

A Web-App comes to the rescue! We can embed our analysis… 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