Transcribe and diarize audio files using Replicate models
Project description
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
Project based on the cookiecutter data science collective template. #cookiecutterdatasciencecollective
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for replicate_whisper_diarization-0.1.10.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | c39017ba0def38b99b177ff06ff4519343715ac04805983c993c7082317bb7c2 |
|
MD5 | cbb833222dc65d81a237d7c233c59bb8 |
|
BLAKE2b-256 | 08590ab2ba8fe47e3f9f8e813f6b07c9aef44da65de1083613e54d464c7792f3 |
Close
Hashes for replicate_whisper_diarization-0.1.10-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | eeabb502d6a37d7e2dc290706421cb031de7e37ed2922d8d6ce4ca85a59b854c |
|
MD5 | 084fea7cee7114fa0b1f1d74f8cf1d76 |
|
BLAKE2b-256 | 1a1a2f922af3ea12f99954d6fb496d1bf711b273d5a5aafe4992dd3f970f5ed2 |