CustomTkinter VS streamlit

I like CustomTkinter. A UI library based on Tkinter, so you can also use Tkinter along with it.

All tkinter widgets with exceptio of Canvas are currently supported and ttk themed widgets used whenever possible. I plan to add support CustomTkinter eventually.

both custom tkinter and pyqt5 have somewhat "modern" looks.

If you go for tkinter, I recommend you use CustomTkinter instead. It looks much nicer with no extra effort

New GUI based on the splendid work of customtkinter: it is now possible to select files via a "Select files" button instead of the Drag&Drop function that presented several problems this new library allows for much more organized and optimized code the new interface is fully resizable and so adaptable to any screen the new interface also allows more space to add new widgets (in the future) to customize the upscale operations

Well, as I mentioned, customtkinter makes that fairly easy.

In last project I was used customTkinter.

https://ttkbootstrap.readthedocs.io/en/latest/ https://github.com/TomSchimansky/CustomTkinter

Note that there are many tools that make this easier/simpler to prototype, including chainlit, streamlit, etc… The backend API we built is amenable to interacting with them as well.

2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.

Developed using Langchain and Streamlit technologies for enhanced performance.

Hello,

Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for.

While building dashboards in Streamlit, I found myself really missing Buefy's (Bulma) modern web components.

Specially due to the inability to add new values to Streamlit's multiselect [1], some missing controls like a polished image carousel [2] or a highly customizable data table.

Long story short, we put together streamfy (Streamlit + Buefy) as an MIT licensed project in GitHub to bring Buefy to Streamlit.

Demo: https://streamfy.streamlit.app

All the form components are implemented, missing half of other non-form UX components. There is plenty of room for PRs, testing, feedback, documentation, example, etc.

Please send issues and contributions to GitHub project [3] and general feedback to X / Twitter [4]

Thanks!

[1] https://github.com/streamlit/streamlit/issues/5348

Here's your savior, let's welcome Streamlit.

Looks cool. How do you see this differing from streamlit? https://streamlit.io/

Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.

In this tutorial, you'll construct a fully functional Streamlit application from the ground up. Streamlit lets you turn simple data scripts into web applications without traditional front-end tools. This application will be capable of downloading audio from any YouTube video, transcribing it using Deepgram, and then summarizing the content with the assistance of Mistral 7B, all streamlined through the capabilities of Langchain.