from setuptools import setup, find_packages requirements = [ "ruamel.yaml", "torch==1.4.0", "torchvision==0.5.0", "nemo_toolkit[asr] @ git+https://github.com/NVIDIA/NeMo.git@09e3ba4dfe333f86d6c5c1048e07210924294be9#egg=nemo_toolkit", ] extra_requirements = { "server": ["rpyc~=4.1.4"], "data": [ "google-cloud-texttospeech~=1.0.1", "tqdm~=4.39.0", "pydub~=0.23.1", "scikit_learn~=0.22.1", "pandas~=1.0.3", "boto3~=1.12.35", "ruamel.yaml==0.16.10", "pymongo==3.10.1", "librosa==0.7.2", "matplotlib==3.2.1", "pandas==1.0.3", "tabulate==0.8.7", "natural==0.2.0", "num2words==0.5.10", "typer[all]==0.1.1", "python-slugify==4.0.0", "lenses @ git+https://github.com/ingolemo/python-lenses.git@b2a2a9aa5b61540992d70b2cf36008d0121e8948#egg=lenses", ], "validation": [ "rpyc~=4.1.4", "pymongo==3.10.1", "typer[all]==0.1.1", "tqdm~=4.39.0", "librosa==0.7.2", "matplotlib==3.2.1", "pydub~=0.23.1", "streamlit==0.58.0", "stringcase==1.2.0" ] # "train": [ # "torchaudio==0.5.0", # "torch-stft==0.1.4", # ] } packages = find_packages() setup( name="jasper-asr", version="0.1", description="Tool to get gcp alignments of tts-data", url="http://github.com/malarinv/jasper-asr", author="Malar Kannan", author_email="malarkannan.invention@gmail.com", license="MIT", install_requires=requirements, extras_require=extra_requirements, packages=packages, entry_points={ "console_scripts": [ "jasper_transcribe = jasper.transcribe:main", "jasper_asr_rpyc_server = jasper.server:main", "jasper_asr_trainer = jasper.training_utils.train:main", "jasper_asr_data_generate = jasper.data_utils.generator:main", "jasper_asr_data_recycle = jasper.data_utils.call_recycler:main", "jasper_asr_data_validation = jasper.data_utils.validation.process:main", "jasper_asr_data_preprocess = jasper.data_utils.process:main", ] }, zip_safe=False, )