st-img-picker 1.0.2

A Streamlit custom component for image selection with single and multi-selection support

st-img-picker

Fork of streamlit-image-select with multiple selection support.

A Streamlit custom component for image selection.

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

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Installation

pip install st-img-picker

Simple usage

import streamlit as st
from st_img_picker import img_picker

imgs = img_picker(
    "Select images", 
    ["image1.png", "image2.png", "image3.png"]
)
st.write(f"Selected {len(imgs)} images")

Advanced usage

from st_img_picker import img_picker
import numpy as np
from PIL import Image

# Mix different image types
imgs = img_picker(
    label="Choose your favorites",
    images=[
        "local/path/image.jpg",              # Local file
        "https://example.com/image.png",     # URL
        Image.open("another_image.jpg"),     # PIL Image
        np.array(Image.open("numpy.jpg"))    # NumPy array
    ],
    captions=["Local", "Remote", "PIL", "NumPy"],
    index=[0, 2],                            # Pre-select first and third
    use_container_width=True,
    return_value="index",                    # Return indices instead of images
    key="my_picker"
)

st.write(f"Selected indices: {imgs}")

Parameters

• label (str): The label shown above the images.
• images (list): The images to show. Supports local files, URLs, PIL images, and numpy arrays.
• captions (list of str, optional): Captions to show below images. Defaults to None.
• index (int or list, optional): Initially selected image(s). For single selection: int. For multiple selection: list of ints. Defaults to [] for multi-select, 0 for single-select.
• use_container_width (bool, optional): Whether to stretch images to container width. Defaults to True.
• return_value ("original" or "index", optional): Return original objects or indices. Defaults to "original".
• allow_multiple (bool, optional): Enable multiple selection. Defaults to True.
• key (str, optional): Component key. Defaults to None.

Returns

• Multiple selection (allow_multiple=True): Returns list of items (images or indices)
• Single selection (allow_multiple=False): Returns single item (image or index)

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 <your-fork-repo-url>
cd st-img-picker

Install the Python dependencies:

poetry install --dev

And install the frontend dependencies:

cd st_img_picker/frontend
npm install

Making changes

To make changes, first go to st_img_picker/__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 st_img_picker/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 st_img_picker and the demo app should update automatically!

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

Publishing on PyPI

Switch the variable _RELEASE in st_img_picker/__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 st_img_picker/frontend
NODE_OPTIONS="--openssl-legacy-provider" npm run build

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

cd ../..
poetry build
poetry publish

License

MIT License - See LICENSE file for details.

Credits

• Original streamlit-image-select by Johannes Rieke
• Fork enhancements by Peter van Lunteren