Chat components for Plotly Dash
Project description
Dash Chat Components
dash_chat_components is a library of chat components for Plotly Dash, that makes it easier to build conversational apps.
Installation
pip install dash_chat_components
Development
Getting Started
-
Create a new python environment:
python -m venv venv . venv/bin/activate
Note: venv\Scripts\activate for windows
-
Install python dependencies:
pip install -r requirements.txt
-
Install npm packages:
- Optional: use nvm to manage node version:
nvm install nvm use
- Install:
npm install
- Optional: use nvm to manage node version:
-
Build:
npm run build
Component Code
Publish
If publish on npm:
npm build
npm publish
Justfile
Alternatively, use the provided just commands:
- Create a Python environment from previous step 1 and install:
just install - Build
just build - Publish
just publish - See all commands with
just -l
Project details
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dash_chat_components-0.1.0.tar.gz.
File metadata
- Download URL: dash_chat_components-0.1.0.tar.gz
- Upload date:
- Size: 15.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
221822b2e7d7725441ad27445041c80af2812535a9c20b599b5c707a2971eedc
|
|
| MD5 |
e2c99bd288fba375b0323dd995fdad56
|
|
| BLAKE2b-256 |
a4c799d3a2e479e8c3f7d2823a28205f7b38112c37fde018aef32095f7c7de5c
|
File details
Details for the file dash_chat_components-0.1.0-py3-none-any.whl.
File metadata
- Download URL: dash_chat_components-0.1.0-py3-none-any.whl
- Upload date:
- Size: 21.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
43e49bcff0ec86d7090afab52a7a4e20bbcf96df705f7c1ca1a3d0b48d35e2b2
|
|
| MD5 |
c773a24f8f1fb9268f18f6a92ac7bb65
|
|
| BLAKE2b-256 |
e0191bd06415b2b09c26142269d13c99c8504244ed8738e288154e8aa7412f79
|