semvec/pypi-packages huggingface dataset:
jinjax-flowbite 0.1.dev0
Flowbite-based JinjaX Components
License: MIT
Requires Python: >=3.9
Keywords: python flask jinja flowbite htmx

# jinjax-flowbite <!-- omit in toc -->

HTML Component Library based on Flowbite Components and JinjaX python package

## 1. Setup Development Environment

### 1.1. Toolchain

- Install python 3.11 or newer

### 1.2. VSCode Extensions

- Pylance: `ms-python.vscode-pylance`
- Tailwind CSS Intellisense: `bradlc.vscode-tailwindcss`
- Jinja: `wholroyd.jinja`
- Jinja2 Snippet Kit: `wyattferguson.jinja2-snippet-kit`
- BetterJinja: `samuelcolvin.jinjahtml`
- Markdown All in One: `yzhang.markdown-all-in-one`
- markdownlint: `davidanson.vscode-markdownlint`

### 1.3. Python Library Dependencies

~~~sh
python -m venv venv
.\venv\Scripts\activate
pip install -r requirements.txt
~~~


### 2.1. Build Python Package (Wheel)

~~~sh
.\venv\Scripts\activate
python .\setup.py bdist_wheel
~~~
tenyks-cli 0.2.51
Tenyks AI
License: MIT
Requires Python: >=3.7

# Tenyks - Command Line Interface

Contains Tenyks CLI module for uploading dataset and model.
# Install

### Install CLI tool:
```bash
pip install tenyks-cli
```

# Use:
### Get help:
```bash
tenyks --help
```

### Create your first dataset:
```bash
tenyks dataset-create --name test
```