semvec/pypi-packages huggingface dataset:
dumb-menu 1.0.8
A light weight command line menu that supports Windows, MacOS, and Linux
Keywords: python,menu,dumb_menu,windows,mac,linux


# dumb_menu

[![Downloads](https://static.pepy.tech/badge/dumb-menu)](https://pepy.tech/project/dumb-menu)

simple_term_menu don't support windows, so I made dumb_menu.

dumb_menu is not as powerful as simple_term_menu , but this a **GOOD OLD MENU** .

dumb_menu is a light weight command line menu that supports **Windows**, **MacOS**, and **Linux**.


## Installation

```
pip install dumb-menu
```

https://pypi.org/project/dumb-menu/

https://github.com/cornradio/dumb_menu (I want stars ⭐ uwu)

## Usage

example:

```python
import dumb_menu
options = ["[1]Option 1", "[2]Option 2", "[3]Option 3","[q]quit"]
index = dumb_menu.get_menu_choice(options)
print(f"You selected option {index + 1}: {options[index]}")
```


![png](https://raw.githubusercontent.com/cornradio/imgs/main/20230214163952.png)

another example:

```python
import os
import dumb_menu

def loopmenu():
    options = ["[1]happy",
            "[2]sad",
            "[3]give me a cookie",
            "[q]quit"]
    index = dumb_menu.get_menu_choice(options,isclean = True)
    # clear screen, cls for windows, clear for linux
    os.system('cls') 
    # Python 3.10+ only,old version could use if-else
    match index:
        case 0:
            print(":)")
        case 1:
            print(":(")
        case 2:
            print("🍪ヾ(•ω•`)o")
        case 3:
            exit()
    input('Press ENTER to continue...')

if __name__ == "__main__":
    while True:
        loopmenu()
```
![Imgur](https://i.imgur.com/7zjLt8g.png)


## Get help

Get help ➡️ [Github issue](https://github.com/cornradio/dumb_menu/issues)

## Update log


`1.0.8` add "return key string" option , add `demo.py`  As a straightforward example

```python
dumb_menu.get_menu_choice(options,give_key_str = True)
```

`1.0.7` fix "flickering on mac zsh" 

`1.0.6` forget write log in 1.0.5

`1.0.5` fix bug in 1.0.4

`1.0.4` support "clean mode" 

`1.0.3` show selected index also when using hotkey  

`1.0.2` first useable version

`1.0.1` fix bug

`1.0.0` first release

## how to upload a new version (for me)

en: https://packaging.python.org/tutorials/packaging-projects/ 

zh: https://python-packaging-zh.readthedocs.io/zh_CN/latest/minimal.html#id2

> make sure have twine installed first

1. change `setup.py`
2. testing `python3 setup.py develop`
3. `python3 setup.py sdist`
4. `twine upload dist/*`

test code :
```
python3

import dumb_menu
dumb_menu.demo()
```
peelml 0.0.4
Peel away the pain of ml deployment
Requires Python: >=3.9,<4.0

# peelml

peelml away the pain of ml deployment
# Development
## 1. Setup and Build

### 1.1 build backend
```
git clone https://github.com/CambioML/peelml.git
conda create -n peelml python=3.10
conda activate peelml
cd peelml
pip install poetry
pip install git+https://github.com/UKPLab/sentence-transformers.git@179b659621c680371394d507683b25ba7faa0dd8
poetry install --no-root # no root to not install peelml as a package
```

### 1.2 build frontend
1. install [nodejs](https://nodejs.org/en)
2. npm install `npm install vite`
3. cd into client folder and `npm run build`

## 2. Run
### 2.1 Option 1: run the server and client directly without cli
Before you start running the command below, go to server.py and upate
```
os.environ["OPENAI_API_KEY"] = ""
```

After that, run the following command
```
python -m peelml.server
```

### 2.2 Option 2: run the cli command
This is a interactive cli to ask you to input required environment parameters.
It will then start the server and client for you.
```
python -m peelml.cli start
```

## 3. Install
install peelml into site-packages like a pip install
```
poetry install
peelml start
```


P.S: If you build and pip install for local test, your changes will not reflect in peelml site-packages. Therefore, you have to `pip3 uninstall peelml`, built it again, and the install.

# Use
```
pip install git+https://github.com/UKPLab/sentence-transformers.git@179b659621c680371394d507683b25ba7faa0dd8
pip install peelml
```