Tldraw for Jupyter
Project description
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?
- Create an OpenAI account at OpenAI
- In your Openai API account, navigate to Settings > Billing
- Click Add to credit balance
- Add at least $5 to your account
- Navigate to API Keys
- Click Create new secret key
- Copy the key to your clipboard.
- Back on your jupyter-tldraw folder, paste the key into the API key into a new file called api_key.py
- Add the key in this form:
api_key = "sk-*************************". - Add
api_key.pyinto 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
- Clone Repo
npm i- Make virutal env
python3.11 -m venv .venv && source .venv/bin/activate pip install -e ".[dev]"npm run dev
Changelog
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
Release history Release notifications | RSS feed
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