add setup.py
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__version__ = "0.0.0"
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@ -4,10 +4,10 @@ import pandas as pd
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import librosa
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import librosa
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from .. import g2p
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from .. import g2p
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from .sampler import SequentialSampler, RandomSampler, BatchSampler
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from ..data.sampler import SequentialSampler, RandomSampler, BatchSampler
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from .dataset import Dataset
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from ..data.dataset import Dataset
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from .datacargo import DataCargo
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from ..data.datacargo import DataCargo
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from .batch import TextIDBatcher, SpecBatcher
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from ..data.batch import TextIDBatcher, SpecBatcher
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class LJSpeech(Dataset):
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class LJSpeech(Dataset):
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import os
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import io
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import re
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from setuptools import setup, find_packages
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def read(*names, **kwargs):
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with io.open(
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os.path.join(os.path.dirname(__file__), *names),
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encoding=kwargs.get("encoding", "utf8")
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) as fp:
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return fp.read()
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def find_version(*file_paths):
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version_file = read(*file_paths)
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version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]",
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version_file, re.M)
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if version_match:
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return version_match.group(1)
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raise RuntimeError("Unable to find version string.")
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VERSION = find_version('parakeet', '__init__.py')
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long_description = read('README.md')
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setup_info = dict(
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# Metadata
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name='parakeet',
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version=VERSION,
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author='PaddleSL Team',
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author_email='',
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url='https://github.com/PaddlePaddle',
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description='Speech synthesis tools and models based on Paddlepaddle',
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long_description=long_description,
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license='Apache 2',
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install_requires=[
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'numpy', 'nltk', 'inflect', 'librosa', 'unidecode', 'numba', 'tqdm', 'matplotlib', 'tensorboardX', 'tensorboard', 'scipy', 'tqdm',
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],
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# Package info
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packages=find_packages(exclude=('test', 'test.*')),
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zip_safe=True,
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)
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setup(**setup_info)
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@ -1,4 +1,4 @@
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from parakeet.data.ljspeech import LJSpeech
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from parakeet.datasets.ljspeech import LJSpeech
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from parakeet.data.datacargo import DataCargo
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from parakeet.data.datacargo import DataCargo
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from pathlib import Path
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from pathlib import Path
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