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import os |
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import subprocess |
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import sys |
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from packaging.version import Version |
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import numpy |
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import setuptools.command.build_py |
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import setuptools.command.develop |
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from Cython.Build import cythonize |
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from setuptools import Extension, find_packages, setup |
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python_version = sys.version.split()[0] |
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if Version(python_version) < Version("3.9") or Version(python_version) >= Version("3.12"): |
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raise RuntimeError("TTS requires python >= 3.9 and < 3.12 " "but your Python version is {}".format(sys.version)) |
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cwd = os.path.dirname(os.path.abspath(__file__)) |
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with open(os.path.join(cwd, "TTS", "VERSION")) as fin: |
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version = fin.read().strip() |
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class build_py(setuptools.command.build_py.build_py): |
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def run(self): |
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setuptools.command.build_py.build_py.run(self) |
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class develop(setuptools.command.develop.develop): |
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def run(self): |
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setuptools.command.develop.develop.run(self) |
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package_data = ["TTS/server/templates/*"] |
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def pip_install(package_name): |
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subprocess.call([sys.executable, "-m", "pip", "install", package_name]) |
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requirements = open(os.path.join(cwd, "requirements.txt"), "r").readlines() |
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with open(os.path.join(cwd, "requirements.notebooks.txt"), "r") as f: |
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requirements_notebooks = f.readlines() |
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with open(os.path.join(cwd, "requirements.dev.txt"), "r") as f: |
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requirements_dev = f.readlines() |
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with open(os.path.join(cwd, "requirements.ja.txt"), "r") as f: |
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requirements_ja = f.readlines() |
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requirements_all = requirements_dev + requirements_notebooks + requirements_ja |
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with open("README.md", "r", encoding="utf-8") as readme_file: |
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README = readme_file.read() |
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exts = [ |
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Extension( |
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name="TTS.tts.utils.monotonic_align.core", |
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sources=["TTS/tts/utils/monotonic_align/core.pyx"], |
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) |
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] |
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setup( |
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name="TTS", |
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version=version, |
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url="https://github.com/coqui-ai/TTS", |
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author="Eren Gölge", |
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author_email="egolge@coqui.ai", |
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description="Deep learning for Text to Speech by Coqui.", |
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long_description=README, |
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long_description_content_type="text/markdown", |
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license="MPL-2.0", |
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include_dirs=numpy.get_include(), |
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ext_modules=cythonize(exts, language_level=3), |
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include_package_data=True, |
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packages=find_packages(include=["TTS"], exclude=["*.tests", "*tests.*", "tests.*", "*tests", "tests"]), |
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package_data={ |
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"TTS": [ |
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"VERSION", |
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] |
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}, |
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project_urls={ |
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"Documentation": "https://github.com/coqui-ai/TTS/wiki", |
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"Tracker": "https://github.com/coqui-ai/TTS/issues", |
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"Repository": "https://github.com/coqui-ai/TTS", |
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"Discussions": "https://github.com/coqui-ai/TTS/discussions", |
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}, |
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cmdclass={ |
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"build_py": build_py, |
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"develop": develop, |
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}, |
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install_requires=requirements, |
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extras_require={ |
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"all": requirements_all, |
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"dev": requirements_dev, |
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"notebooks": requirements_notebooks, |
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"ja": requirements_ja, |
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}, |
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python_requires=">=3.9.0, <3.12", |
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entry_points={"console_scripts": ["tts=TTS.bin.synthesize:main", "tts-server = TTS.server.server:main"]}, |
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classifiers=[ |
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"Programming Language :: Python", |
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"Programming Language :: Python :: 3", |
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"Programming Language :: Python :: 3.9", |
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"Programming Language :: Python :: 3.10", |
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"Programming Language :: Python :: 3.11", |
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"Development Status :: 3 - Alpha", |
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"Intended Audience :: Science/Research", |
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"Intended Audience :: Developers", |
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"Operating System :: POSIX :: Linux", |
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"License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)", |
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"Topic :: Software Development", |
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"Topic :: Software Development :: Libraries :: Python Modules", |
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"Topic :: Multimedia :: Sound/Audio :: Speech", |
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"Topic :: Multimedia :: Sound/Audio", |
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"Topic :: Multimedia", |
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"Topic :: Scientific/Engineering :: Artificial Intelligence", |
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], |
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zip_safe=False, |
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) |
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import gradio as gr |
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import torch |
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from TTS.api import TTS |
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device = "cuda" if torch.cuda.is_available() else "cpu" |
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tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device) |
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def voice_clone(text: str, speaker_wav: str, language: str): |
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print("Speaker wav:", speaker_wav) |
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tts.tts_to_file(text=text, speaker_wav=speaker_wav, language=language, file_path="output.wav") |
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return "output.wav" |
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iface = gr.Interface(fn=voice_clone, |
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inputs=["text", gr.Audio(type="filepath"), gr.Radio(['ko', 'en'], label="Language")], |
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outputs=gr.Audio(type="filepath"), |
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title="IMCapusle Voice Clone") |
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iface.launch() |