ttskit

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0.3.8 ttskit-0.3.8-py3-none-any.whl
0.2.1 ttskit-0.2.1-py3-none-any.whl

Wheel Details

Project: ttskit
Version: 0.2.1
Filename: ttskit-0.2.1-py3-none-any.whl
Download: [link]
Size: 169665
MD5: 5b078c6c091c90f55efc28031c8f3cda
SHA256: 17a5f384b2d50866010992d5a4c046a538bea57330a94c5151885f6f5f2a2229
Uploaded: 2021-08-24 02:26:09 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: ttskit
Version: 0.2.1
Summary: text to speech toolkit
Author: kuangdd
Author-Email: kuangdd[at]foxmail.com
Home-Page: https://github.com/KuangDD/ttskit
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
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Requires-Dist: inflect
Requires-Dist: cycler
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Requires-Dist: numba (==0.48)
Requires-Dist: numpy
Requires-Dist: phkit (>=0.2.7)
Requires-Dist: pydub
Requires-Dist: PyYAML
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: setproctitle
Requires-Dist: SIP
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Requires-Dist: torch (<=1.7.1,>=1.6.0)
Requires-Dist: tqdm
Requires-Dist: umap-learn
Requires-Dist: Unidecode
Requires-Dist: visdom
Requires-Dist: webrtcvad-wheels
Requires-Dist: xmltodict
Requires-Dist: flask
Requires-Dist: gevent
Description-Content-Type: text/markdown
Requires: aukit
Requires: inflect
Requires: cycler
Requires: librosa
Requires: matplotlib
Requires: numba
Requires: numpy
Requires: phkit
Requires: pydub
Requires: PyYAML
Requires: scikit_learn
Requires: scipy
Requires: setproctitle
Requires: SIP
Requires: tensorboardX
Requires: torch
Requires: tqdm
Requires: umap_learn
Requires: Unidecode
Requires: visdom
Requires: webrtcvad_wheels
Requires: xmltodict
Requires: flask
Requires: gevent
[Description omitted; length: 5154 characters]

WHEEL

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top_level.txt

ttskit

entry_points.txt

tkcli = ttskit.cli_api:tts_cli
tkhttp = ttskit.http_server:start_sever