Wheelodex » Projects » a62-emotion

a62-emotion

View on PyPI — Reverse Dependencies (0)

0.11.4 a62_emotion-0.11.4-py3-none-any.whl

Wheel Details

Project: a62-emotion
Version: 0.11.4
Filename: a62_emotion-0.11.4-py3-none-any.whl
Download: [link]
Size: 21448
MD5: c620b09e4f755c8d3e378e83ea7c2e10
SHA256: ab65cb0a247046a2108c2e1b0334ece1e0d0a6b043fccdfe34ce64aa1793cc4b
Uploaded: 2022-07-15 19:45:28 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: a62-emotion
Version: 0.11.4
Summary: A model for emotion classification based on text and audio.
Author: Philip Gaudreau
Author-Email: this[at]philipgaudreau.email
Home-Page: https://github.com/philipgaudreau/emotion
Project-Url: Repository, https://github.com/philipgaudreau/emotion
Classifier: Programming Language :: Python :: 3
Requires-Python: ==3.8.13
Requires-Dist: Flask (<3.0.0,>=2.1.2)
Requires-Dist: dvc[gdrive] (<2.11)
Requires-Dist: gunicorn (<21.0.0,>=20.1.0)
Requires-Dist: keras (<3.0.0,>=2.8.0)
Requires-Dist: librosa (<0.10.0,>=0.9.1)
Requires-Dist: nltk (<4.0,>=3.7)
Requires-Dist: numpy (==1.20.3)
Requires-Dist: pandas (==1.2.4)
Requires-Dist: scikit-learn (==0.24.2)
Requires-Dist: tensorflow-cpu (<3.0.0,>=2.9.1)
Requires-Dist: tensorflow-hub (<0.13.0,>=0.12.0)
Requires-Dist: transformers (<5.0.0,>=4.20.1)
Description-Content-Type: text/markdown
[Description omitted; length: 4142 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.1.0b3
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
emotion/__init__.py sha256=nF1bCV_RQFtKdAA0sSEvz3D2TKe2x3s7ZQLMYoa1hvw 110
emotion/artifacts.dvc sha256=d0kZ-SGMhtWBjZfxwC6O91PzaLvmJ7g1lB-PTOt6Z3U 97
emotion/cli/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
emotion/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
emotion/data/audio/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
emotion/data/audio/audio_utils.py sha256=nbeKvwEn8aqkDGgLPxlfyrwwv1zeB6n6R8PJ6hsgiis 8520
emotion/data/audio/label_utils.py sha256=9jN143janmv_zgGYI8WVkzt2iNJNxiWJYpuZdZ7c-04 6497
emotion/data/audio/split_audio_files.py sha256=tvd7lEQx4YeKsS0F3QdQ9LGKK0Uc5BDRBEbtR3x51sc 3888
emotion/data/labels.py sha256=Q85hDIR49rfMkjE9LHNxttwgs_wGbxD3YNwbAojJZJY 2615
emotion/features/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
emotion/features/audio/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
emotion/features/audio/extract_features.py sha256=SSfH6SydkarFi7CBna_EDu--FN3Gco4BN9mh8b-sKGs 8692
emotion/features/text/extract_text.py sha256=Ig5yDpd54i4vk7_l6qlz66359QkKOJTy43PoH84SwkQ 3665
emotion/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
emotion/models/audio_model.py sha256=GUMaZHi50M1beYl_OvCa4Fb05ziBbYBRB8EDpAurMTI 995
emotion/models/text_model.py sha256=mrZADyByq0ZMi1TmR5EorXr2dEllbvEdjHtPmALlg08 1671
emotion/train/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
emotion/train/audio/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
emotion/train/audio/svc_model.py sha256=FziZs_ctki0JdPbiwOdYUWSDIA60dpOgxj9XbJPmNZc 5656
emotion/train/text/bert_classifier.py sha256=GrfjvHnMZRANP8DRYnOVVd64E4LWnUzGtm-gT67gF8g 4212
emotion/utils.py sha256=xrBDAFaQiL2SwPZMLeLsLBq9jM_3-hztSCWuTvOE7Ss 122
emotion/visualization/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
a62_emotion-0.11.4.dist-info/entry_points.txt sha256=QTCtzWlxqHeywn0DrAwM-pKn70Yb1XJlO3wP605EBaE 43
a62_emotion-0.11.4.dist-info/WHEEL sha256=Jaj29f-PvHzZb5kImTcJS9QszpaO6CVzAqOolIz_WEw 90
a62_emotion-0.11.4.dist-info/METADATA sha256=zzViMawbQjecr4oPEEEuCNz78SxBc1e05SondDyfExQ 5042
a62_emotion-0.11.4.dist-info/RECORD — —

entry_points.txt

[console_scripts]
emotion = emotion.cli:cli