Screenshot by Sharon Machlis. A graph generated by the Chat With Your Data LLM-powered application. If the LLM can generate usable Python code from your query, you should see a graph in response.

One of the most compelling reasons to use Python is its modular nature. We saw this in our simple expense tracker, when we used Tkinter to create a basic GUI for our application. Chatbots don't ...

The Chat() component is aimed at making it “easy ... There are several ways to implement the LLM back end in a Shiny Python app, but the Shiny creators at Posit recommend starting with LangChain ...

Transformative desktop app generates professional data apps in two minutes from datasets alone, combining 10 years of ...