KivyMD VS streamlit

These are the requirements in buildozer.spec that worked: requirements = kivy==master, https://github.com/kivymd/KivyMD/archive/master.zip

I don't use it but seems like the same issue reported here: https://github.com/kivymd/KivyMD/issues/282

Yes, the difference at spec file is that you specify the url of master version from kivymd and kivy==master. I usually do pip install "kivy[base] @ https://github.com/kivy/kivy/archive/master.zip" and pip install https://github.com/kivymd/KivyMD/archive/master.zip.

python -m pip install https://github.com/kivymd/KivyMD/archive/master.zip

I don't use kivymd so if there is a way to do this I am blissfully unaware... Sometimes it's necessary to vendor code and hack it, you could copy the textfield directory from your kivymd version to your project. Rename the files and classes, and hack it to do whatever you want.

requirements = python3,kivy,camera4kivy,numpy,tflite-runtime,https://github.com/kivymd/KivyMD/archive/master.zip

I've did some digging and it appears it is a bug in some opengl shaders. You can't really fix it yourself so to get rid of it install the master version of both kivy and kivymd from github. Fixed and merged in this issue

Looking at github, I do NOTsee a demos folder. https://github.com/kivymd/KivyMD I also do not have a demos folder on my Windows install of kivyMD.

It sounds like you want a kivy button, with some of the styling from KivyMD. I'd suggest looking at the source code for the KivyMD button, and creating your own button. You can see the source here: https://github.com/kivymd/KivyMD/tree/master/kivymd/uix/button

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.

Install the Stable Diffusion tools and checkpoints, and run it all with Streamlit.