stlite-desktop-example VS streamlit

A sample app repository

Streamlit * A faster way to build and share data apps | streamlit.io

https://streamlit.io/ try looking up streamlit

The chat interface was developed using Streamlit, a versatile tool for building interactive Python web applications. This code creates a simple interface with a text input for user queries and a "Submit" button to submit the query. When the "Submit" button is clicked, the query, along with the chat history, is sent to the LLM chain, which returns a response along with the referenced documents.

Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.

Are you tired of manually filling in cookiecutter templates through a terminal? Look no further than Visual Cookiecutter, a Python package that lets you visually instantiate templates with a sleek and modern web UI based on streamlit.

You could use something like Streamlit or Dash. In any case you will be accessing your app through the browser.

If your goal is to have a slightly more friendly UI for end users, it should be relatively easy to build something custom, using the OpenAI clients (or requests package) and something like Streamlit. Or even a notebook (you can use the OpenAI cookbook as a starting point).

Hey there, thank you for flagging this! I work for Streamlit and wanted to share some info on this. This info was also shared in this GitHub Issue which u/hurdahurimahuman linked to.