semvec/pypi-packages huggingface dataset:
pytmlib 1.1.0.dev20
This is the base library for the Python Tool Manager.
Requires Python: >=3.8
Keywords: FHNW,IBRE,Python Tool Manager,pytm

![PyPI - License](https://img.shields.io/pypi/l/pytmlib)
![PyPI](https://img.shields.io/pypi/v/pytmlib)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pytmlib)
![GitHub issues](https://img.shields.io/github/issues/ofabel/pytm-bootstrap)

# pytmlib

This is the base library for the Python Tool Manager.
Is also available on [PyPI](https://pypi.org/project/pytmlib/).

```shell
pip install pytmlib
```

For further information, checkout the documentation on [GitHub](https://ofabel.github.io/pytm-bootstrap/).
bntrans 0.0.5
BanglaTranslationKit: Open-source tool for offline Bangla-English translation.
Requires Python: >=3.6
Keywords: bangla,english,translation,nlp,machine-translation,bangla to english translation,english to bangla translation

# BanglaTranslationKit

BanglaTranslationKit is a open-source translation package for offline conversion between both Bengali and English languages (English to Bangla and Bangla to English)

## Installation

```bash
pip install bntrans
```

## Usage

You can use this package to translate any Bangla to English or English to Bangla.

```python
from bntrans import Translator

translator = Translator(src="en", dest="bn")
translation = translator.translate("Hello world!")  #  ্যালো বিশ্ব!
print(translation)
```

### Some Useful Methods

```python
from bntrans import Translator

# You can tell the model to use cpu
translator = Translator(src="en", dest="bn", use_gpu=False)

# Specify a custom model (from huggingface.co/models or local path)
translator = Translator(model="mymodel")

# If custom model doesn't have a maximum length, you can specify it. It is better to specify it as some models have wrong maximum length in their config.
translator = Translator(model="mymodel", max_length=512)

# You can also use `generate` method to get raw output from the model
translator.generate("Hello world!")
```

## Use Cloud Translation API (Free)

If you want to test the model without installing it, you can use the cloud translation API. Get a free Token from [here](https://huggingface.co/settings/tokens) (Read Token is enough) and use it like this:

```python
from bntrans import Translator

translator = Translator(src="en", dest="bn", use_cloud=True, huggingface_token="YOUR_TOKEN")
translation = translator.translate("Hello world!")  #  ্যালো বিশ্ব!
print(translation)
```

## Use in Command Line

You can also use this package in command line. Just install it and run the following command:

```bash
bntrans "Hello world!"
```

```bash
usage: cli.py [-h] [-s SRC] [-d DEST] [-m MODEL] [-g GPU] [-l MAX_LENGTH] [-c USE_CLOUD] [-t HUGGINGFACE_TOKEN] text

Translate text from one language to another.

positional arguments:
  text                  Text to translate

options:
  -h, --help            show this help message and exit
  -s SRC, --src SRC     Source language (default: en)
  -d DEST, --dest DEST  Destination language (default: bn)
  -m MODEL, --model MODEL
                        Model to use for translation
  -g GPU, --gpu GPU     Whether to use GPU for translation (default: True)
  -l MAX_LENGTH, --max-length MAX_LENGTH
                        Maximum length of the model (default: None)
  -c USE_CLOUD, --use-cloud USE_CLOUD
                        Whether to use huggingface inference API (default: False)
  -t HUGGINGFACE_TOKEN, --huggingface-token HUGGINGFACE_TOKEN
                        Huggingface inference API token (default: None)
```
pymol_app 0.5
Elimineer spelers
Requires Python: >=3.5

# pymol
De Mol Eliminatie App (mac only)

# Installation

## Python

Make sure [python](https://www.python.org/downloads/) is installed on your system

## pip

Make sure pip is installed:

open Terminal

```python -m ensurepip --upgrade```

## pymol_app

Use pip to install pymol:

```pip install pymol_app```

To confirm `pymol` works, try:

```pymol```

# Usage

Open your favourite text editor and type something like this:

```
player1,green
player2,green
player3,red
player4,green
```

Save it with the `.csv` extention (i.e., as `eliminatie.csv`) anywhere on your computer

In the Terminal, pass the path of that file to `pymol` like this:

```pymol [path to directory]/eliminatie.csv```

Tips:
- You can navigate your terminal to the folder where `eliminatie.csv` is located (by using `cd`). 
- Or, you can drag the file from the finder to the Terminal to copy the whole path (I find this the easiest).
- Using the up arrow key, you can select previously run commands

The app should start full screen (quit by pressing ESC)

simply type names and press enter to reveal the screen

Have fun!
ShynaBot 0.0.1
Shyna Bot For App integration.BASIC META

# shyna/ShynaBot



## Getting Started

Download links:

SSH clone URL: ssh://git@git.jetbrains.space/shyna623/shyna/ShynaBot.git

HTTPS clone URL: https://git.jetbrains.space/shyna623/shyna/ShynaBot.git



These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

## Prerequisites

What things you need to install the software and how to install them.

```
Examples
```

## Deployment

Add additional notes about how to deploy this on a production system.

## Resources

Add links to external resources for this project, such as CI server, bug tracker, etc.