Streamlit - Drawable Canvas

Streamlit component which provides a sketching canvas using Fabric.js.

Features

• Draw freely, lines, circles and boxes on the canvas, with options on stroke & fill
• Rotate, skew, scale, move any object of the canvas on demand
• Select a background color or image to draw on
• Get image data and every drawn object properties back to Streamlit !
• Choose to fetch back data in realtime or on demand

Installation

pip install streamlit-drawable-canvas

Example Usage

import streamlit as st
from streamlit_drawable_canvas import st_canvas

# Specify canvas parameters in application
stroke_width = st.sidebar.slider("Stroke width: ", 1, 25, 3)
stroke_color = st.sidebar.beta_color_picker("Stroke color hex: ")
bg_color = st.sidebar.beta_color_picker("Background color hex: ", "#eee")
bg_image = st.sidebar.file_uploader("Background image:", type=["png", "jpg"])
drawing_mode = st.sidebar.selectbox(
    "Drawing tool:", ("freedraw", "line", "rect", "circle", "transform")
)
realtime_update = st.sidebar.checkbox("Update in realtime?", True)
update_button = False
if not realtime_update:
    update_button = st.sidebar.button('Send data to Streamlit')


# Create a canvas component
canvas_result = st_canvas(
    fill_color="rgba(255, 165, 0, 0.3)",  # Fixed fill color with some opacity
    stroke_width=stroke_width,
    stroke_color=stroke_color,
    background_color="" if bg_image else bg_color,
    background_image=Image.open(bg_image) if bg_image else None,
    update_streamlit=realtime_update or update_button,
    height=150,
    drawing_mode=drawing_mode,
    key="canvas",
)

# Do something interesting with the image data
if canvas_result.image_data is not None:
    st.image(canvas_result.image_data)
    st.dataframe(pd.json_normalize(canvas_result.json_data["objects"]))

Development

Install

• JS side

cd frontend
npm install

• Python side

conda create -n streamlit-drawable-canvas python=3.7
conda activate streamlit-drawable-canvas
pip install -e .

Run

Both webpack dev server and Streamlit should run at the same time.

• JS side

cd frontend
npm run start

• Python side

streamlit run app.py

Cypress integration tests

• Install Cypress: cd e2e; npm i or npx install cypress (with --force if cache problem)
• Start Streamlit frontend server: cd streamlit_drawable_canvas/frontend; npm run start
• Start Streamlit test script: streamlit run e2e/app_to_test.py
• Start Cypress app: cd e2e; npm run cypress:open

References

• react-sketch
• React hooks - fabric
• Simulate Retina display
• High DPI Canvas
• Drawing with FabricJS and TypeScript Part 2: Straight Lines
• Types for classes as values in TypeScript
• Working with iframes in Cypress