semvec/pypi-packages huggingface dataset:
tensify 0.0.3
A python package which converts your tenses

# Tensify

An easy to use python package to convert your tenses...


Features : 
1.Super-Simple
2.Easy
3.Minimalistic
4.Super-Fast
5.Open-Source
6.New Concept
7.Trusted
8.Free


Usage :
```
import tensify
tensify.PAST("I get it")
# As simple as that 
```

Output : 
```
I got it
```



Contributors : 
```
1.Dev Shah (Contact : devshah1032@gmail.com)
2.Haard Majmudar (Contact : haardmajmudar2827@gmail.com)
```



License : 
```
MIT License
Copyright (c) 2021 Dev Shah
```
wrapplotly 0.0.3
A plotly wrapper allowing subplots, single plots and word clouds
Requires Python: >=3.7

wrapplotly is a python wrapper for common plotly graph types.

[API Documentation](https://www.jill.codes/wrapplotly)

- bar charts
- histograms
- scatterplots
- box plots
- line charts
- word clouds

wrapplotly allows creation of both single plots and subplot-type figures
TGkit 0.0.6
Telegram messages automation module.

# TGkit For Windows And MacOs
## About TGkit
<b>TGkit is a Telegram message automation module.It's written in Python3.It's very safe to use this software.TGkit won't store any messages or media files that use send through TGkit.TGkit uses ```pyautogui``` module to automate message sending process and ```subprocess``` module to open the Telegram application.</b>

## Installation
<b>You can install TGkit via PIP.Use this command ```pip install TGkit``` to install via PIP.</b>

## Functions
* <b>To send message to your contact use this function send_message(path,contact,message,timing).</b> 
* <b>To send message in a group use this function send_message_group(path,group,message,timing).</b>
* <b>To send file to your contact use this function send_file(path,group,file_path,caption,timing).</b>
* <b>To send file in a group use this function send_file_group(path,group,file_path,caption,timing).</b>

## Parameters
* <b>path for specify the location of the Telegram application.</b>
* <b>contact for specify the contact that you want to send the message.</b>
* <b>group specify the group that you want to send the message.</b>
* <b>message for the message that you want to send.</b>
* <b>file_path specify the location of the media file.</b>
* <b>caption specify the caption for the media file.</b>
* <b>timing to schedule the message or file sending process.</b>
* <b>state the timing in 24 hour format HH:MM:SS.</b>
road-signs-db-convertion-michael 0.0.5
A database collection & conversion package which performs analysis
Requires Python: >=3.6

# Road-Sign-DB

# Create separate branches for your work!!!

<hr/>

<details open="open">
  <summary>Інформація</summary>
  <ol>
    <li><a href="#про-проект">Про проект</a></li>
    <li><a href="#основні-складові">Основні складові</a></li>
    <li><a href="#початок-роботи">Початок роботи</a></li>
    <li><a href="#використання">Використання</a></li>
    <li><a href="#ліцензія">Ліцензія</a></li>
  </ol>
</details>



## Про проект

Опис проекту.


### Основні складові

Основні складові.  
#### main.py structure:
```
def fetch_somedb(self):
    # download & move this database into the APPROPRIATE FOLDER. Like Databases/from-kaggle
```



## Початок роботи

Для початку роботи:\
1*. ```virtualenv -p python3 venv```\
2*. ```source venv/bin/activate```\
3. ```pip install road-signs-db-convertion-michael```\
4. ```python -m database_convertion```

## Використання

+ Автоматичне розпізнавання дорожніх знаків для автомобілів.
+ Система розпізнавання дорожніх знаків покликана попереджати водіїв про необхідність дотримання конкретних правил дорожнього руху. 
+ Система визначає дорожні знаки і нагадує водієві дозволи для конкретної території.
+ Система розпізнає дорожні знаки у час дня та вечора.

## Ліцензія

Поширюється за ліцензією MIT. Для отримання додаткової інформації дивіться `LICENSE`.
color-tools 0.0.2
color_tools
Keywords: color,text,terminal

# color_tools: text color


[![Github License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Updates](https://pyup.io/repos/github/woctezuma/google-colab-transfer/shield.svg)](pyup)
[![Python 3](https://pyup.io/repos/github/woctezuma/google-colab-transfer/python-3-shield.svg)](pyup)
[![Code coverage](https://codecov.io/gh/woctezuma/google-colab-transfer/branch/master/graph/badge.svg)](codecov)




color_tools is a Python library Color formatting for output in terminal.

Installation
============
The code is packaged for PyPI, so that the installation consists in running:
```sh
pip install color-tools
```


Usage
=====
    from termcolor import colored, cprint
    
    text = colored('Hello, World!', 'red', attrs=['reverse', 'blink'])
    print(text)
    cprint('Hello, World!', 'green', 'on_red')



Terminal properties
===================

    ============ ======= ==== ========= ========== ======= =========
    Terminal     bold    dark underline blink      reverse concealed
    ------------ ------- ---- --------- ---------- ------- ---------
    xterm        yes     no   yes       bold       yes     yes
    linux        yes     yes  bold      yes        yes     no
    rxvt         yes     no   yes       bold/black yes     no
    dtterm       yes     yes  yes       reverse    yes     yes
    teraterm     reverse no   yes       rev/red    yes     no
    aixterm      normal  no   yes       no         yes     yes
    PuTTY        color   no   yes       no         yes     no
    Windows      no      no   no        no         yes     no
    Cygwin SSH   yes     no   color     color      color   yes
    Mac Terminal yes     no   yes       yes        yes     yes
    ============ ======= ==== ========= ========== ======= =========



## License

[Apache License 2.0](https://www.dropbox.com/s/8t6xtgk06o3ij61/LICENSE?dl=0).


## New features v1.0

 
## BugFix
- choco install visualcpp-build-tools



## Reference

 - Jonathan Quiza [github](https://github.com/jonaqp).
 - Jonathan Quiza [RumiMLSpark](http://rumi-ml.herokuapp.com/).
 - Jonathan Quiza [linkedin](https://www.linkedin.com/in/jonaqp/).
vctube 1.3
A package for crawling and processing audio, caption from Youtube
Requires Python: ==3.6
Keywords: aud_crawler

Audio, Caption Crawler and Processor -TTS Data Generator-
=====================================


##### Downloads and processes the audios and captions(subtitles) from Youtube videos for Speech AI
##### Generates audio datas from Youtube for TTS



Requirements
-------------

* Currently requires python == 3.6
* FFmpeg
* youtube_dl 
* pydub 
* youtube_transcript_api

To Use
--------

      pip3 install vctube
-------------------------------------

      from vctube import VCtube

      playlist_name=""
      playlist_url = ""
      lang = ""   #ex) ko, en, fr, de...

      vc = VCtube(playlist_name, playlist_url, lang)

      vc.download_audio()    #download audios from youtube

      vc.download_captions()  #download captions from youtube

      vc.audio_split()       #split audio with captions


Results
----------
   
      datasets
        |- playlist name
            |- metadata.csv
            |- alignment.json
            |- wavs
                 ├── 1.wav
                 ├── 2.wav
                 ├── 3.wav
                 └── ...
  
   
   and `metadata.csv` should look like:

    {
        "0001.wav|그래서 사람들도 날 핍이라고 불렀다.",
        "0002.wav|크리스마스 덕분에 부엌에 먹을게 가득했다.",
        "0003.wav|조가 자신이 그 사람이라고 나섰다.",
        ...
    }
    
   and `alignment.json` should look like:

    {
        "./datasets/playlist name/wavs/0001.wav": "그래서 사람들도 날 핍이라고 불렀다.",
        "./datasets/playlist name/wavs/0002.wav": "크리스마스 덕분에 부엌에 먹을게 가득했다.",
        "./datasets/playlist name/wavs/0003.wav": "조가 자신이 그 사람이라고 나섰다.",
        ...
    }

Pypi address
---------------
https://pypi.org/project/vctube/