semvec/pypi-packages huggingface dataset:
tscribe 1.3.1
Produce Word Document, CSV or SQLite transcriptions using the automatic speech recognition from AWS Transcribe.

tscribe
=======

Produce Word Document, CSV SQLite and VTT transcriptions using the automatic speech recognition from AWS Transcribe.

[![Build Status](https://travis-ci.com/kibaffo33/aws_transcribe_to_docx.svg?branch=master)](https://travis-ci.com/kibaffo33/aws_transcribe_to_docx)
[![Coverage Status](https://coveralls.io/repos/github/kibaffo33/aws_transcribe_to_docx/badge.svg?branch=master)](https://coveralls.io/github/kibaffo33/aws_transcribe_to_docx?branch=master)

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/tscribe)
[![PyPI version](https://badge.fury.io/py/tscribe.svg)](https://badge.fury.io/py/tscribe)


# Installation

```bash
pip install tscribe
```


# Results

| Time    | Speaker | Comment     |
| ------- | ------- | ----------- |
| 0:00:03 | spk_0   | Is this on? |
| 0:00:05 | spk_1   | Yep.        |
| 0:00:06 | spk_0   | Great.      |


# Usage

## Getting started

Simply `import tscribe` and point `tscribe.write(...)` at your `.json` file.

```python
import tscribe

tscribe.write("output.json")
```
```
output.docx written in x seconds.
```

## Output formats

Supported output formats include:
* `docx` (default)
* `csv`
* `sqlite`
* `vtt`

```python
import tscribe
tscribe.write("output.json", format="docx")
tscribe.write("output.json", format="csv")
tscribe.write("output.json", format="sqlite")
tscribe.write("output.json", format="vtt")
```
```
output.docx written in x seconds.
output.csv written in x seconds.
output.db written in x seconds.
output.vtt written in x seconds.
```

## Target directory or filename 

You may wish to be explicit in specifying the output filename or directory written to. Use cases may include following a naming convention or operating in a serverless environment.

```python
import tscribe
tscribe.write("output.json", save_as="transcript.docx")
tscribe.write("output.json", save_as="/tmp/transcript.docx")
```
```
transcript.docx written in x seconds.
/tmp/transcript.docx written in x seconds.
```

## Combining format and target

```python
import tscribe
tscribe.write("output.json", format="csv", save_as="output/output.csv")
```
```
output/output.csv written in x seconds.
```
nepali-stemmer 0.0.2
A simple Nepali stemmer
Requires Python: >=3.6

# Nepali Stemmer

This is a simple Nepali stemmer. It iteratively separates out the suffixes (postpositions) until no more separation can be processed. The algorithm is based on hindi-stemmer.

## Features:
 - Iterative separation
 - Handles the postposition attached with punctuations carefully
     - Example: नेपाललाई, -> नेपाल लाई,
 - Basic text cleaning
 - Cross-verification with Nepali dictionary

## How to run

    >>> from nepali_stemmer.stemmer import NepStemmer
    >>> nepstem = NepStemmer()
    >>> nepstem.stem("नेपालको एमाले पार्टीका झोले, मण्डलेहरु अमेरिका आउने रे !")                                                                                                      

    'नेपाल को एमाले पार्टी का झोले, मण्डले हरु अमेरिका आउने रे !'


## To-do:
- [ ] Word transformation with stemming process
- [ ] IR evaluation
- [ ] Code-mixed data


## References:
 - Suffix list: https://github.com/birat-bade/NepaliStemmer
 - Nepali Dictionary : https://github.com/PraveshKoirala/stemmer
 - Algorithm : https://github.com/sainimohit23/hindi-stemmer


## Contact
Email: [oyashi](mailto:oyeshsin@hotmail.com)

Note: Project created during COVID-19 quarantine out-of-boredom and necessity
simplesim 1.0.0
A simple and generic framework for quickly and easily creating a simulation environment
Requires Python: >=3.5
Keywords: simple generic simulation environment framework

![](https://github.com/MeelonUsk/simplesim/workflows/Continuous%20Integration/badge.svg)
[![codecov](https://codecov.io/gh/MeelonUsk/simplesim/branch/master/graph/badge.svg)](https://codecov.io/gh/MeelonUsk/simplesim)

# `simplesim` package
This package is a simple and general framework for creating a simulation
environment. `simplesim` uses the observer design pattern that allows arbitrary
objects to be included into the simulation. At each update, `simplesim` notifies
the observers of the new simulation time. The observers can do what they want
with that information.

`simplesim` is designed to easily be extended. The only requirement is that
custom objects must implement the observer interface defined in the package.