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setup.py
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75 lines (73 loc) · 1.94 KB
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from setuptools import setup, find_packages
import pathlib
HERE = pathlib.Path(__file__).parent
README = (HERE / "README.md").read_text()
setup(
name="t2yLLM",
version="0.1.0",
author="Saga9103",
description="An open source Voice Assistant",
long_description=README,
long_description_content_type="text/markdown",
url="https://github.com/Saga9103/t2yLLM",
license="MIT",
include_package_data=True,
package_data={
"t2yLLM.config": [
"piper/**/*",
"piper/**/**/*",
], # All files in t2yLLM/config/piper
},
packages=find_packages(
exclude=(
"examples",
"faster-whisper",
"faster-whisper/*",
"Raspberry",
)
),
classifiers=[
"Programming Language :: Python :: 3.12",
"License :: OSI Approved :: MIT License",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
python_requires=">=3.11",
install_requires=[
"requests",
"auto_mix_prep>=0.2.0",
"chromadb>=0.6.3",
"config>=0.5.1",
"datasets>=3.5.0",
"faster_whisper>=1.1.0",
"huggingface_hub>=0.30.2",
"json_repair>=0.30.3",
"matplotlib>=3.10.3",
"numpy>=2.2.6",
"pvporcupine>=3.0.5",
"pyalsaaudio>=0.11.0",
"pyttsx3>=2.98",
"pytz>=2025.1",
"rapidfuzz>=3.13.0",
"requests>=2.32.3",
"scipy>=1.15.3",
"sentence_transformers>=3.4.1",
"silero_vad>=5.1.2",
"sounddevice>=0.5.1",
"soundfile>=0.13.1",
"spacy>=3.8.4",
"transformers>=4.51.1",
"tokenizers>=0.21.1",
"triton",
"wikipedia>=1.4.0",
"dacite>=1.9.2",
"PyYAML>=6.0.2",
"keybert",
"pydantic",
"fastapi[standard]",
"pyaudio",
"onnxruntime",
"netifaces",
"cryptography",
"speechbrain",
],
)