Analysing Whatsapp Group Chats using StreamLit— Part II
Last Updated on July 20, 2023 by Editorial Team
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.
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