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
2.0.8
- 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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file tldraw-2.0.10.tar.gz.
File metadata
- Download URL: tldraw-2.0.10.tar.gz
- Upload date:
- Size: 3.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.27.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e88116184507bf00c9de70d3959077a09f4dc3cdf569944c9c7fce7f466c45fa |
|
| MD5 | 9e271d91261566e9bd8bd04d14635450 |
|
| BLAKE2b-256 | 46d851e4bcf89b6ddb57718596e5e6785ea75447b2a9418fbce83f26ca137335 |
File details
Details for the file tldraw-2.0.10-py2.py3-none-any.whl.
File metadata
- Download URL: tldraw-2.0.10-py2.py3-none-any.whl
- Upload date:
- Size: 3.2 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.27.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5f8b6efb1f5dc97e6961d8a2fb17449cb613052337bb39a53d39c9b060e4a3d6 |
|
| MD5 | fc8d472396e80bff74729bed2a107655 |
|
| BLAKE2b-256 | 8bb9887751442d4f80764955b183603fabcf587289c225cafa973f0200e7eb82 |
