replicate-whisper-diarization


Namereplicate-whisper-diarization JSON
Version 0.1.10 PyPI version JSON
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home_page
SummaryTranscribe and diarize audio files using Replicate models
upload_time2024-02-26 18:22:38
maintainer
docs_urlNone
author
requires_python>=3.9
license The MIT License (MIT) Copyright (c) 2023, team-collectiveai Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords feed reader tutorial
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            whisper_diarization
==============================

A short description of the project.

# Development
## Jupyterlab container
There is jupyterlab container images to run the notebooks
### Build
```make jupyter-build```

### Run
with gpu capabilities:

```make jupyter-run```

or cpu only

```make jupyter-run-cpu```

Project Organization
------------

```
.
├── build                                   -> Docker building files & utils
│   ├── core
│   └── jupyter
├── notebooks                               -> Notebooks with experimentes and examples
│   └── ...
├── reports                                 -> Reports generated by results from experiments
│   └── ...
├── resources                               -> general resources: models, datasets, cache, etc
│   ├── cache
│   ├── models
│   ├── datasets
│   └── ...
├── scripts                                 -> utils
└── src                                     -> main root of packages
    └── whisper_diarization                             -> main package
```


<p><small>Project based on the <a target="_blank" href="https://github.collective.com/DataScience/project-scaffolding/">cookiecutter data science collective template</a>. #cookiecutterdatasciencecollective</small></p>

            

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