Jupyter Tldraw

Installation:

python3.11 -m venv .venv
pip install jupyterlab
pip install tldraw
jupyterlab   (or alternative VS Code Jupyter Lab)

Example

from tldraw import TldrawWidget
t = TldrawWidget()
t

MakeReal Example

from tldraw import MakeReal
from api_key import api_key

m = MakeReal(width=1002, height = 500, api_key = api_key)
m

INFO: To use GPT4-Vision, you need an API key.

How do I get my API key?

1. Create an OpenAI account at OpenAI
2. In your Openai API account, navigate to Settings > Billing
3. Click Add to credit balance
4. Add at least $5 to your account
5. Navigate to API Keys
6. Click Create new secret key
7. Copy the key to your clipboard.
8. Back on your jupyter-tldraw folder, paste the key into the API key into a new file called api_key.py
9. Add the key in this form: api_key = "sk-*************************".
10. Add api_key.py into your gitignore. WARNING: Don't upload your API KEY on GitHub!

Now you're ready to run!

For transparency, this is how the key is used:
https://github.com/kolibril13/jupyter-tldraw/blob/main/src/tldraw/prompt.py#L5-L47

Developer Instructions

1. Clone Repo
2. npm i
3. Make virutal env python3.11 -m venv .venv && source .venv/bin/activate
4. pip install -e ".[dev]"
5. npm run dev

Changelog

3.0.0

update npm install @tldraw/[email protected]

2.4.6

update npm install @tldraw/[email protected] TldrawSetImage implementation

2.4.5

• fix path

2.4.4

• better TldrawWidgetCoordinates

2.4.3

• update npm install @tldraw/[email protected]
• add ReactiveColorPicker

2.2.5

• include "package.json", "node_config.mjs" to pypi, so that conda works as well.
• update to tldraw 2.2.5
• include jsx files on pypi, so that conda can build more easily.

2.2.4

update to tldraw 2.2.4

2.0.20

Add debug example

2.0.19

Experiment with node_config

2.0.17 & 2.0.18

small fixes

2.0.16

add TldrawWidgetCoordinates

2.0.15

• update tldraw version

2.0.14

• update to GPT4o

2.0.13

• fix svgAsImage problem
• update makereal to gpt4-turbo
• run_next_cell parameter

2.0.12

• fix cell selection bug by autoFocus={false}
• npm i @tldraw/[email protected]

2.0.11

• updating npm install @tldraw/[email protected]

2.0.9 & 2.0.10

• Setting up hatch correctly

2.0.8

• Update version to @tldraw/[email protected]

2.0.7

*increase number of output tokens to 4096

2.0.6

Tweak prompt parameter.

2.0.5

Add requests module Tweak readme

2.0.4

Add experimental SVG/PNG export.
Add experimental .txt export.
Add makereal

2.0.3

Update to version 2.0.0-alpha.19

2.0.2

Add experimental TldrawImageArray

2.0.1

Switch to new version: @tldraw/[email protected] (Version from 6th November2023)

2.0.0

• simplify to minimal template

1.0.0

• Rename notebooks, and prepare 2.0.0 release.

0.1.5

• add .venv to gitignore, so that it's not uploaded to pypi by hatch build.

0.1.4

• Add experimental TldrawSegmentation

0.1.3

• format toml

0.1.2

• replace ipyreact backend with anywidget backend.
  • this will make this package more reliable, because all js and css is shipped via pip and not anymore via cdn.
• Remove JupyterLite build.
• Remove experimental files.

0.1.1

• add update_plot in TldrawMatplotlib

0.1.0

• Added TldrawMatplotlib

0.0.3

• refactor readme
• add jupyterlite demo

0.0.2

• refactor code

0.0.1

• init setup