Spaces:
Running
Running
switched to openphonemizer
Browse files- espeak_util.py +0 -206
- inference.py +4 -11
- packages.txt +0 -1
- pyproject.toml +22 -21
- requirements.txt +2 -1
- uv.lock +153 -0
espeak_util.py
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import platform
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import subprocess
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import shutil
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from pathlib import Path
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import os
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from typing import Optional, Tuple
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from phonemizer.backend.espeak.wrapper import EspeakWrapper
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class EspeakConfig:
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"""Utility class for configuring espeak-ng library and binary."""
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@staticmethod
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def find_espeak_binary() -> tuple[bool, Optional[str]]:
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"""
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Find espeak-ng binary using multiple methods.
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Returns:
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tuple: (bool indicating if espeak is available, path to espeak binary if found)
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"""
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# Common binary names
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binary_names = ["espeak-ng", "espeak"]
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if platform.system() == "Windows":
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binary_names = ["espeak-ng.exe", "espeak.exe"]
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# Common installation directories for Linux
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linux_paths = [
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"/usr/bin",
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"/usr/local/bin",
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"/usr/lib/espeak-ng",
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"/usr/local/lib/espeak-ng",
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"/opt/espeak-ng/bin",
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]
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# First check if it's in PATH
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for name in binary_names:
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espeak_path = shutil.which(name)
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if espeak_path:
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return True, espeak_path
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# For Linux, check common installation directories
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if platform.system() == "Linux":
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for directory in linux_paths:
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for name in binary_names:
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path = Path(directory) / name
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if path.exists():
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return True, str(path)
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# Try running the command directly as a last resort
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try:
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subprocess.run(
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["espeak-ng", "--version"],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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check=True,
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)
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return True, "espeak-ng"
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except (subprocess.SubprocessError, FileNotFoundError):
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pass
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return False, None
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@staticmethod
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def find_library_path() -> Optional[str]:
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"""
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Find the espeak-ng library using multiple search methods.
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Returns:
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Optional[str]: Path to the library if found, None otherwise
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"""
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system = platform.system()
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if system == "Linux":
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lib_names = ["libespeak-ng.so", "libespeak-ng.so.1"]
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common_paths = [
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# Debian/Ubuntu paths
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"/usr/lib/x86_64-linux-gnu",
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"/usr/lib/aarch64-linux-gnu", # For ARM64
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"/usr/lib/arm-linux-gnueabihf", # For ARM32
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"/usr/lib",
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"/usr/local/lib",
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# Fedora/RHEL paths
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"/usr/lib64",
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"/usr/lib32",
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# Common additional paths
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"/usr/lib/espeak-ng",
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"/usr/local/lib/espeak-ng",
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"/opt/espeak-ng/lib",
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]
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# Check common locations first
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for path in common_paths:
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for lib_name in lib_names:
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lib_path = Path(path) / lib_name
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if lib_path.exists():
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return str(lib_path)
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# Search system library paths
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try:
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# Use ldconfig to find the library
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result = subprocess.run(
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["ldconfig", "-p"], capture_output=True, text=True, check=True
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)
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for line in result.stdout.splitlines():
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if "libespeak-ng.so" in line:
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# Extract path from ldconfig output
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return line.split("=>")[-1].strip()
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except (subprocess.SubprocessError, FileNotFoundError):
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pass
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elif system == "Darwin": # macOS
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common_paths = [
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Path("/opt/homebrew/lib/libespeak-ng.dylib"),
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Path("/usr/local/lib/libespeak-ng.dylib"),
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*list(
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Path("/opt/homebrew/Cellar/espeak-ng").glob(
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"*/lib/libespeak-ng.dylib"
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)
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),
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*list(
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Path("/usr/local/Cellar/espeak-ng").glob("*/lib/libespeak-ng.dylib")
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),
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]
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for path in common_paths:
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if path.exists():
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return str(path)
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elif system == "Windows":
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common_paths = [
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Path(os.environ.get("PROGRAMFILES", "C:\\Program Files"))
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/ "eSpeak NG"
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/ "libespeak-ng.dll",
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Path(os.environ.get("PROGRAMFILES(X86)", "C:\\Program Files (x86)"))
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/ "eSpeak NG"
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/ "libespeak-ng.dll",
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*[
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Path(p) / "libespeak-ng.dll"
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for p in os.environ.get("PATH", "").split(os.pathsep)
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],
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]
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for path in common_paths:
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if path.exists():
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return str(path)
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return None
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@classmethod
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def configure_espeak(cls) -> Tuple[bool, str]:
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"""
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Configure espeak-ng for use with the phonemizer.
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Returns:
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Tuple[bool, str]: (Success status, Status message)
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"""
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# First check if espeak binary is available
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espeak_available, espeak_path = cls.find_espeak_binary()
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if not espeak_available:
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raise FileNotFoundError(
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"Could not find espeak-ng binary. Please install espeak-ng:\n"
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"Ubuntu/Debian: sudo apt-get install espeak-ng espeak-ng-data\n"
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"Fedora: sudo dnf install espeak-ng\n"
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"Arch: sudo pacman -S espeak-ng\n"
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"MacOS: brew install espeak-ng\n"
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"Windows: Download from https://github.com/espeak-ng/espeak-ng/releases"
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)
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# Find the library
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library_path = cls.find_library_path()
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if not library_path:
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# On Linux, we might not need to explicitly set the library path
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if platform.system() == "Linux":
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return True, f"Using system espeak-ng installation at: {espeak_path}"
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else:
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raise FileNotFoundError(
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"Could not find espeak-ng library. Please ensure espeak-ng is properly installed."
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)
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# Try to set the library path
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try:
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EspeakWrapper.set_library(library_path)
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return True, f"Successfully configured espeak-ng library at: {library_path}"
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except Exception as e:
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if platform.system() == "Linux":
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# On Linux, try to continue without explicit library path
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return True, f"Using system espeak-ng installation at: {espeak_path}"
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else:
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raise RuntimeError(f"Failed to configure espeak-ng library: {str(e)}")
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def setup_espeak():
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"""
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Set up espeak-ng for use with the phonemizer.
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Raises appropriate exceptions if setup fails.
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"""
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try:
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success, message = EspeakConfig.configure_espeak()
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print(message)
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except Exception as e:
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print(f"Error configuring espeak-ng: {str(e)}")
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raise
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# Replace the original set_espeak_library function with this
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set_espeak_library = setup_espeak
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inference.py
CHANGED
@@ -2,10 +2,9 @@ import yaml
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import random
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import librosa
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import numpy as np
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import phonemizer
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import torch
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import torchaudio
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from collections import OrderedDict
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from munch import Munch
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from nltk.tokenize import word_tokenize
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@@ -14,7 +13,6 @@ from cached_path import cached_path
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# Local or project imports
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from models import *
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from espeak_util import set_espeak_library
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from Utils.PLBERT.util import load_plbert
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from Modules.diffusion.sampler import DiffusionSampler, ADPM2Sampler, KarrasSchedule
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@@ -145,10 +143,7 @@ elif torch.backends.mps.is_available():
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# -----------------------------------------------------------------------------
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# PHONEMIZER INITIALIZATION
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# -----------------------------------------------------------------------------
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global_phonemizer = phonemizer.backend.EspeakBackend(
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language="en-us", preserve_punctuation=True, with_stress=True
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)
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# -----------------------------------------------------------------------------
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# LOAD CONFIG
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@@ -165,8 +160,6 @@ text_aligner = load_ASR_models(ASR_path, ASR_config)
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F0_path = config.get("F0_path", False)
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pitch_extractor = load_F0_models(F0_path)
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from Utils.PLBERT.util import load_plbert
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BERT_path = config.get("PLBERT_dir", False)
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plbert = load_plbert(BERT_path)
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@@ -238,8 +231,8 @@ def inference(
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"""
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text = text.strip()
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# Phonemize
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ps = global_phonemizer
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ps = word_tokenize(ps
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ps = " ".join(ps)
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tokens = textclenaer(ps)
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tokens.insert(0, 0) # Insert padding index at the start
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import random
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import librosa
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import numpy as np
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import torch
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import torchaudio
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from openphonemizer import OpenPhonemizer
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from collections import OrderedDict
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from munch import Munch
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from nltk.tokenize import word_tokenize
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# Local or project imports
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from models import *
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from Utils.PLBERT.util import load_plbert
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from Modules.diffusion.sampler import DiffusionSampler, ADPM2Sampler, KarrasSchedule
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18 |
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|
143 |
# -----------------------------------------------------------------------------
|
144 |
# PHONEMIZER INITIALIZATION
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# -----------------------------------------------------------------------------
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+
global_phonemizer = OpenPhonemizer()
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|
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# -----------------------------------------------------------------------------
|
149 |
# LOAD CONFIG
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F0_path = config.get("F0_path", False)
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pitch_extractor = load_F0_models(F0_path)
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BERT_path = config.get("PLBERT_dir", False)
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plbert = load_plbert(BERT_path)
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"""
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text = text.strip()
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# Phonemize
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ps = global_phonemizer(text)
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ps = word_tokenize(ps)
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ps = " ".join(ps)
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tokens = textclenaer(ps)
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tokens.insert(0, 0) # Insert padding index at the start
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packages.txt
CHANGED
@@ -1 +0,0 @@
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espeak-ng
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pyproject.toml
CHANGED
@@ -5,27 +5,28 @@ description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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8 |
-
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-
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-
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-
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]
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[tool.uv.sources]
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"audiofile>=1.5.0",
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"cached-path>=1.6.6",
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"einops>=0.8.0",
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"einops-exts>=0.0.4",
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"gradio>=5.9.1",
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"huggingface-hub>=0.26.5",
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"librosa>=0.10.2.post1",
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"markdown>=3.7",
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"matplotlib>=3.10.0",
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"monotonic-align",
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"munch>=4.0.0",
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"nltk>=3.9.1",
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"numpy==2.0",
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"openphonemizer>=0.1.2",
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"phonemizer>=3.3.0",
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"scikit-learn>=1.6.0",
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"soundfile>=0.12.1",
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"torch>=2.5.1",
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"torchaudio>=2.5.1",
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"tqdm>=4.67.1",
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"transformers>=4.47.1",
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"txtsplit>=1.0.0",
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]
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[tool.uv.sources]
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requirements.txt
CHANGED
@@ -18,4 +18,5 @@ torch
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torchaudio==2.5.1
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19 |
tqdm==4.67.1
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transformers==4.47.1
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txtsplit
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torchaudio==2.5.1
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tqdm==4.67.1
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transformers==4.47.1
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txtsplit
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+
openphonemizer
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uv.lock
CHANGED
@@ -7,6 +7,15 @@ resolution-markers = [
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"python_full_version >= '3.13'",
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]
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10 |
[[package]]
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11 |
name = "aiofiles"
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12 |
version = "23.2.1"
|
@@ -58,6 +67,7 @@ dependencies = [
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|
58 |
{ name = "munch" },
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