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Jupyter Tldraw

PyPI version image

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/tldraw@3.0.0

2.4.6

update npm install @tldraw/tldraw@2.4.5 TldrawSetImage implementation

2.4.5

  • fix path

2.4.4

  • better TldrawWidgetCoordinates

2.4.3

  • update npm install @tldraw/tldraw@2.4.3
  • 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/tldraw@2.1.3

2.0.11

  • updating npm install @tldraw/tldraw@2.1.0

2.0.9 & 2.0.10

  • Setting up hatch correctly

2.0.8

  • Update version to @tldraw/tldraw@2.0.2

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/tldraw@2.0.0-canary.b9d82466295e (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