semvec/pypi-packages huggingface dataset:
ovos-stt-plugin-whispercppserver 0.0.1
ovos stt plugin for whisper.cpp server
License: Apache-2.0
Keywords: mycroft OpenVoiceOS OVOS plugin stt whisper.cpp whisper

# WHISPER SERVICE OVOS STT CLIENT

OpenVoiceOS plugin for Whisper service, compatible with free Whisper.cpp server

My motivation was to establish a one working STT system for whole
household, additionally to Home Assistant I use it for
[Blurt](https://github.com/QuantiusBenignus/blurt#network-transcription)
gnome shell extension.

You need a running Whisper compatible API service,
for example Whisper.cpp instance:

<https://github.com/ggerganov/whisper.cpp/tree/master/examples/server>

I run it on nvidia GPU with fantastic results with detailed
inference on large model in usually about a second:

```sh
whisper.cpp/server -m whisper.cpp/models/ggml-large-v3-q5_0.bin --host 0.0.0.0 --port 8910 --print-realtime --print-progress
```

You can study whisper.cpp to get more information about running its STT service.

## Install

```sh
pip install ovos-stt-plugin-whispercppserver
```

## Configuration

`~/.config/mycroft/mycroft.conf`

```json
{
  "stt": {
    "module": "ovos-stt-plugin-whispercppserver",
    "ovos-stt-plugin-whispercppserver": {
      "server": "http://192.168.41.49:8910/inference"
      "temperature": "0.0"
      "temperature_inc": "0.2"
      "timeout": 120
    }
  }
}
```

`server`: MANDATORY! your whisper.cpp inference path instance URI

`temperature`: Decoding temperature (default: 0.0)

`temperature_inc`: Temperature increment (default: 0.2)

`timeout`: timeout of inference request (default: 120 seconds)
vidtoolz-concat 0.0.3
Concat videos using ffmpeg 
License: Apache-2.0

# vidtoolz-concat

[![PyPI](https://img.shields.io/pypi/v/vidtoolz-concat.svg)](https://pypi.org/project/vidtoolz-concat/)
[![Changelog](https://img.shields.io/github/v/release/sukhbinder/vidtoolz-concat?include_prereleases&label=changelog)](https://github.com/sukhbinder/vidtoolz-concat/releases)
[![Tests](https://github.com/sukhbinder/vidtoolz-concat/workflows/Test/badge.svg)](https://github.com/sukhbinder/vidtoolz-concat/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/sukhbinder/vidtoolz-concat/blob/main/LICENSE)

Concat videos using ffmpeg 

## Installation

First install [vidtoolz](https://github.com/sukhbinder/vidtoolz).

```bash
pip install vidtoolz
```

Then install this plugin in the same environment as your vidtoolz application.

```bash
vidtoolz install vidtoolz-concat
```
## Usage

type ``vidtoolz-concat --help`` to get help

```
usage: vid concat [-h] [-o OUTPUT] [-s] [-n NSEC] [-i INPUT] [-cd CHANGE_DIR]
                  [-e] [-um]
                  [inputfile]

Concat videos using ffmpeg

positional arguments:
  inputfile             Text file having names of files to concat

optional arguments:
  -h, --help            show this help message and exit
  -o OUTPUT, --output OUTPUT
                        Folder where files are (default: None)
  -s, --section         If given sections Video by `nsec` (default: False)
  -n NSEC, --nsec NSEC  Section Video by `nsec` (default: 500)
  -i INPUT, --input INPUT
                        Input files (default: None)
  -cd CHANGE_DIR, --change-dir CHANGE_DIR
                        if Provided, go to this folder, before anything.
  -e, --encoding        if Provided, Use re-encoding
  -um, --use-moviepy    if Provided, Use moviepy

```


## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd vidtoolz-concat
python -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
pip install -e '.[test]'
```
To run the tests:
```bash
python -m pytest
```