semvec/pypi-packages huggingface dataset:
covid19.py 0.0.9
Track the COVID-19 data in the word from the command line

# covid19.py

Track the COVID-19 data in all the countries in the world from the command line.

It is a [python](www.python.org) script inspired by [ahmadawais/corona-cli](https://github.com/ahmadawais/corona-cli) and it used the data from [NovelCOVID](https://github.com/NovelCOVID/API)

### Installation

```
pip install covid19.py
```

### Run

Show the first 10 countries by cases (excluded China):

```
covid19.py -m 10
```

![covid19](https://raw.githubusercontent.com/alexcoppe/covid19.py/master/covid19.gif)


### Show the help:

```
covid19.py -h
```



### Licence

DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE, version 2, December 2004.

<a href="http://www.wtfpl.net/"><img
       src="http://www.wtfpl.net/wp-content/uploads/2012/12/wtfpl-badge-1.png"
       width="88" height="31" alt="WTFPL" />
</a>
accp 0.0.1
A pakage for crawling and processing audio, caption from Youtube
Requires Python: >=3.6
Keywords: aud_crawler

Audio, Caption Crawler and Processor
=====================================


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



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

* Currently requires python >= 3.6
* FFmpeg

To Use
--------

      from accp import ACCP

      playlist_name=""
      playlist_url = ""

      accp = ACCP(playlist_name, playlist_url)
      accp.download_audio()    #download audio from youtube

      accp.download_caption()  #download captions from youtube

      accp.audio_split()       #split 


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.",
    }
audio-caption-crawler-and-processor 0.0.1
A pakage for crawling and processing audio, caption from Youtube
Requires Python: >=3.6
Keywords: aud_crawler

Audio, Caption Crawler and Processor
=====================================


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



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

* Currently requires python >= 3.6
* FFmpeg

To Use
--------

      from accp import ACCP

      playlist_name=""
      playlist_url = ""

      accp = ACCP(playlist_name, playlist_url)
      accp.download_audio()    #download audio from youtube

      accp.download_caption()  #download captions from youtube

      accp.audio_split()       #split 


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.",
    }
eti-domo 1.0.0
An interface to the REST API of a Came Eti/Domo server
Requires Python: >=3.6

# Came Eti/Domo
An unofficial and self mantained interface to the REST API of a Came eti/domo server.

For additional information and more in-depth how-to guides visit the github repo of this package at [this](https://github.com/andrea-michielan/eti_domo) link.