Skip to main content

A Streamlit component to select multiple images

Project description

streamlit-dash

PyPI

An image select component for Streamlit.

This custom component works just like st.selectbox but with images. It's a great option if you want to let the user select an example image, e.g. for a computer vision app!

Installation

pip install streamlit-dash

Usage

from streamlit_dash import image_select
img = image_select("Label", ["image1.png", "image2.png", "image3.png"])
st.write(img)

Development

Warning You only need to run these steps if you want to change this component or contribute to its development!

Setup

First, clone the repository:

git clone https://github.com/jrieke/streamlit-dash.git
cd streamlit-dash

Install the Python dependencies:

poetry install --dev

And install the frontend dependencies:

cd streamlit_dash/frontend
npm install

Making changes

To make changes, first go to streamlit_dash/__init__.py and make sure the variable _RELEASE is set to False. This will make the component use the local version of the frontend code, and not the built project.

Then, start one terminal and run:

cd streamlit_dash/frontend
npm start

This starts the frontend code on port 3001.

Open another terminal and run:

cp demo/streamlit_app.py .
poetry shell
streamlit run streamlit_app.py

This copies the demo app to the root dir (so you have something to work with and see your changes!) and then starts it. Now you can make changes to the Python or Javascript code in streamlit_dash and the demo app should update automatically!

If nothing updates, make sure the variable _RELEASE in streamlit_dash/__init__.py is set to False.

Publishing on PyPI

Switch the variable _RELEASE in streamlit_dash/__init__.py to True. Increment the version number in pyproject.toml. Make sure the copy of the demo app in the root dir is deleted or merged back into the demo app in demo/streamlit_app.py.

Build the frontend code with:

cd streamlit_dash/frontend
npm run build

After this has finished, build and upload the package to PyPI:

cd ../..
poetry build
poetry publish

Changelog

0.6.0 (March 28, 2023)

  • Removed st.experimental_memo, which is deprecated.
  • Changed minimum version of Streamlit to 1.19.

0.5.1 (November 20, 2022)

  • Hotfix, forgot to switch the RELEASE variable back to True :wink:

0.5.0 (November 20, 2022)

  • Added return_value parameter to be able to get the index of the selected image.
  • Improved error messages.

0.4.0 (November 20, 2022)

  • Added index parameter to set the initially selected image.
  • Improved input arg checks.

0.3.0 (November 13, 2022)

  • Added use_container_width parameter to customize the width of the component.
  • Made key and use_container_width parameters keyword-only.
  • Refactored CSS classes.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streamlit_select-0.3.tar.gz (699.4 kB view details)

Uploaded Source

Built Distribution

streamlit_select-0.3-py3-none-any.whl (710.2 kB view details)

Uploaded Python 3

File details

Details for the file streamlit_select-0.3.tar.gz.

File metadata

  • Download URL: streamlit_select-0.3.tar.gz
  • Upload date:
  • Size: 699.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for streamlit_select-0.3.tar.gz
Algorithm Hash digest
SHA256 016adfd39f00616940eb62b6810f5a5acaba2da8a47f377ccac8139b6b989b9f
MD5 11f1382f14f963af82557742b7de6f81
BLAKE2b-256 620ddf6025abeaf345d871ea2bd0fd39f03ebac496e3cb0f90a051ef53e1bd68

See more details on using hashes here.

File details

Details for the file streamlit_select-0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_select-0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 64f46719ac9d2273df148fa34f75223ad2ba61f3657306d0925c8ba6b25760f3
MD5 97b58a45acb15ba743f1c6d5de96e916
BLAKE2b-256 623e0f78cf634e6cf60b8adcc012ba0b487e7a14f4218a39d3daf506349ad371

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page