vector_engine VS streamlit

We are building machine learning products for a fixed weekly fee. We saw that search engines are the most requested type of product.

Nowadays, with https://streamlit.io/, https://typesense.org/, or http://jina.ai/ (which are open source) and some coding skills you can build state-of-the-art quality search engines. 10 years ago a team of engineers was required for this.

Some examples,

You can search documents: https://pinksearchengine.link/example_search.html (code here https://github.com/kstathou/vector_engine)

You can search webpages: https://pinksearchengine.link/example_search_web.html (code here https://github.com/typesense/showcase-recipe-search)

You can search images, using textual queries: https://pinksearchengine.link/example_search_images_with_tex... (code here https://github.com/vatsalsaglani/CLIPSemanticImageSearch)

You can search images, using images as queries: https://pinksearchengine.link/example_search_images_with_ima... (code here https://github.com/thoppe/streamlit-CLIP-Unsplash-explorer)

I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.

Streamlit (https://streamlit.io/)

Does it need to be live (i.e when database or underlying spreadsheet updates does it need to be reflected in real time on the dashboard) or are you ok with static display.

Live updating data is a pain I've messed around using javascript to force refresh html iframes on a timer. But I was never really satisfied with this. I've heard you can do things with websockets but that is starting to get too complicated for me (I'm not a programmer).

For static stuff one of the data scientists in my org pointed me to Streamlit (https://streamlit.io/) it's a python package I found very easy to use. Can easily combine SQL with CSV imports and display them all on one dashboard. Can use forms toggle butotns etc to control the display.

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/