mirror of
https://github.com/DrewThomasson/ebook2audiobook.git
synced 2026-01-10 14:28:15 -05:00
461 lines
26 KiB
Python
461 lines
26 KiB
Python
import argparse
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import filecmp
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import importlib.util
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import os
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import shutil
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import socket
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import subprocess
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import sys
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import tempfile
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import time
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import warnings
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from importlib.metadata import version, PackageNotFoundError
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from pathlib import Path
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from lib import *
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warnings.filterwarnings("ignore", message=".*torchaudio._backend.list_audio_backends has been deprecated.*")
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def check_virtual_env(script_mode:str)->bool:
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current_version=sys.version_info[:2] # (major, minor)
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if str(os.path.basename(sys.prefix))=='python_env' or script_mode==FULL_DOCKER or current_version>=min_python_version and current_version<=max_python_version:
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return True
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error=f'''***********
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Wrong launch! ebook2audiobook must run in its own virtual environment!
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NOTE: If you are running a Docker so you are probably using an old version of ebook2audiobook.
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To solve this issue go to download the new version at https://github.com/DrewThomasson/ebook2audiobook
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If the directory python_env does not exist in the ebook2audiobook root directory,
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run your command with "./ebook2audiobook.sh" for Linux and Mac or "ebook2audiobook.cmd" for Windows
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to install it all automatically.
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{install_info}
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***********'''
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print(error)
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return False
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def check_python_version()->bool:
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current_version = sys.version_info[:2] # (major, minor)
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if current_version < min_python_version or current_version > max_python_version:
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error = f'''***********
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Wrong launch: Your OS Python version is not compatible! (current: {current_version[0]}.{current_version[1]})
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In order to install and/or use ebook2audiobook correctly you must run
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"./ebook2audiobook.sh" for Linux and Mac or "ebook2audiobook.cmd" for Windows.
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{install_info}
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***********'''
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print(error)
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return False
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else:
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return True
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def check_and_install_requirements(file_path:str)->bool:
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if not os.path.exists(file_path):
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error = f'Warning: File {file_path} not found. Skipping package check.'
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print(error)
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return False
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try:
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from importlib.metadata import version, PackageNotFoundError
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try:
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from packaging.specifiers import SpecifierSet
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from packaging.version import Version
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from tqdm import tqdm
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from packaging.markers import Marker
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except ImportError:
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subprocess.check_call([sys.executable,'-m','pip','install','--no-cache-dir','packaging','tqdm'])
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from packaging.specifiers import SpecifierSet
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from packaging.version import Version
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from tqdm import tqdm
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from packaging.markers import Marker
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import re as regex
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has_cuda = False
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try:
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import torch
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has_cuda = torch.cuda.is_available()
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except ImportError:
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pass
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cuda_only_packages = {'deepspeed'}
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with open(file_path,'r') as f:
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contents = f.read().replace('\r','\n')
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packages = [pkg.strip()for pkg in contents.splitlines()if pkg.strip()and regex.search(r'[a-zA-Z0-9]',pkg)]
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missing_packages = []
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for package in packages:
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pkg_name_lower = package.lower().split('==')[0].split('>=')[0].split('<=')[0].split('>')[0].split('<')[0].strip()
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if any(x in pkg_name_lower for x in cuda_only_packages) and not has_cuda:
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continue
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if ';' in package:
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pkg_part,marker_part = package.split(';',1)
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marker_part = marker_part.strip()
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try:
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marker = Marker(marker_part)
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if not marker.evaluate():
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continue
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except Exception as e:
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print(f'Warning: Could not evaluate marker "{marker_part}" for {pkg_part}: {e}')
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package = pkg_part.strip()
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if 'git+' in package or '://' in package:
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pkg_name_match = regex.search(r'([\w\-]+)\s*@?\s*git\+',package)
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pkg_name = pkg_name_match.group(1)if pkg_name_match else None
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if pkg_name:
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spec = importlib.util.find_spec(pkg_name)
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if spec is None:
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print(f'{pkg_name} (git package) is missing.')
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missing_packages.append(package)
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else:
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print(f'Unrecognized git package: {package}')
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missing_packages.append(package)
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continue
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clean_pkg = regex.sub(r'\[.*?\]','',package)
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pkg_name = regex.split(r'[<>=]',clean_pkg,1)[0].strip()
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try:
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installed_version = version(pkg_name)
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except PackageNotFoundError:
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print(f'{pkg_name} is not installed.')
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missing_packages.append(package)
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continue
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if "+" in installed_version:
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continue
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else:
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spec_str = clean_pkg[len(pkg_name):].strip()
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if spec_str:
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spec = SpecifierSet(spec_str)
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norm_match = regex.match(r'^(\d+\.\d+(?:\.\d+)?)',installed_version)
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short_version = norm_match.group(1)if norm_match else installed_version
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try:
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installed_v = Version(short_version)
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except Exception:
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installed_v = Version("0")
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req_match = regex.search(r'(\d+\.\d+(?:\.\d+)?)',spec_str)
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if req_match:
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req_v = Version(req_match.group(1))
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imajor,iminor = installed_v.major,installed_v.minor
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rmajor,rminor = req_v.major,req_v.minor
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if "==" in spec_str:
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if imajor != rmajor or iminor != rminor:
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error = f'{pkg_name} (installed {installed_version}) not in same major.minor as required {req_v}.'
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print(error)
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missing_packages.append(package)
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elif ">=" in spec_str:
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if(imajor < rmajor)or(imajor == rmajor and iminor < rminor):
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error = f'{pkg_name} (installed {installed_version}) < required {req_v}.'
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print(error)
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missing_packages.append(package)
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elif "<=" in spec_str:
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if(imajor > rmajor)or(imajor == rmajor and iminor > rminor):
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error=f'{pkg_name} (installed {installed_version}) > allowed {req_v}.'
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print(error)
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missing_packages.append(package)
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elif ">" in spec_str:
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if(imajor < rmajor)or(imajor == rmajor and iminor <= rminor):
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error = f'{pkg_name} (installed {installed_version}) <= required {req_v}.'
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print(error)
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missing_packages.append(package)
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elif "<" in spec_str:
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if(imajor > rmajor)or(imajor == rmajor and iminor >= rminor):
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error = f'{pkg_name} (installed {installed_version}) >= restricted {req_v}.'
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print(error)
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missing_packages.append(package)
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else:
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if installed_v not in spec:
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error = f'{pkg_name} (installed {installed_version}) does not satisfy "{spec_str}".'
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print(error)
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missing_packages.append(package)
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if missing_packages:
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msg = '\nInstalling missing or upgrade packages...\n'
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print(msg)
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tmp_dir = tempfile.mkdtemp()
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os.environ['TMPDIR'] = tmp_dir
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subprocess.call([sys.executable,'-m','pip','cache','purge'])
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subprocess.check_call([sys.executable,'-m','pip','install','--upgrade','pip'])
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with tqdm(total=len(packages), desc='Installation 0.00%', bar_format='{desc}: {n_fmt}/{total_fmt} ', unit='step')as t:
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for package in tqdm(missing_packages, desc="Installing", unit="pkg"):
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try:
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subprocess.check_call([sys.executable,'-m','pip','install','--no-cache-dir','--use-pep517',package])
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t.update(1)
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except subprocess.CalledProcessError as e:
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error = f'Failed to install {package}: {e}'
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print(error)
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return False
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msg = '\nAll required packages are installed.'
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print(msg)
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return True
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except Exception as e:
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error = f'check_and_install_requirements() error: {e}'
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raise SystemExit(error)
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return False
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def check_dictionary()->bool:
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import unidic
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unidic_path = unidic.DICDIR
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dicrc = os.path.join(unidic_path, 'dicrc')
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if not os.path.exists(dicrc) or os.path.getsize(dicrc) == 0:
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try:
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error = 'UniDic dictionary not found or incomplete. Downloading now...'
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print(error)
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subprocess.run(['python', '-m', 'unidic', 'download'], check=True)
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except (subprocess.CalledProcessError, ConnectionError, OSError) as e:
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error = f'Failed to download UniDic dictionary. Error: {e}. Unable to continue without UniDic. Exiting...'
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raise SystemExit(error)
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return False
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return True
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def is_port_in_use(port:int)->bool:
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with socket.socket(socket.AF_INET,socket.SOCK_STREAM) as s:
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return s.connect_ex(('0.0.0.0',port))==0
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def kill_previous_instances(script_name: str):
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current_pid = os.getpid()
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this_script_path = os.path.realpath(script_name)
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import psutil
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for proc in psutil.process_iter(['pid', 'cmdline']):
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try:
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cmdline = proc.info['cmdline']
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if not cmdline:
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continue
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# unify case and absolute paths for comparison
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joined_cmd = " ".join(cmdline).lower()
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if this_script_path.lower().endswith(script_name.lower()) and \
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(script_name.lower() in joined_cmd) and \
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proc.info['pid'] != current_pid:
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print(f"[WARN] Found running instance PID={proc.info['pid']} -> killing it.")
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proc.kill()
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proc.wait(timeout=3)
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except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):
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continue
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def main()->None:
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# Argument parser to handle optional parameters with descriptions
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parser = argparse.ArgumentParser(
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description='Convert eBooks to Audiobooks using a Text-to-Speech model. You can either launch the Gradio interface or run the script in headless mode for direct conversion.',
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epilog='''
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Example usage:
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Windows:
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Gradio/GUI:
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ebook2audiobook.cmd
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Headless mode:
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ebook2audiobook.cmd --headless --ebook '/path/to/file' --language eng
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Linux/Mac:
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Gradio/GUI:
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./ebook2audiobook.sh
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Headless mode:
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./ebook2audiobook.sh --headless --ebook '/path/to/file' --language eng
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Tip: to add of silence (1.4 seconds) into your text just use "###" or "[pause]".
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''',
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formatter_class=argparse.RawTextHelpFormatter
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)
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options = [
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'--script_mode', '--session', '--share', '--headless',
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'--ebook', '--ebooks_dir', '--language', '--voice', '--device', '--tts_engine',
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'--custom_model', '--fine_tuned', '--output_format',
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'--temperature', '--length_penalty', '--num_beams', '--repetition_penalty',
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'--top_k', '--top_p', '--speed', '--enable_text_splitting',
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'--text_temp', '--waveform_temp',
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'--output_dir', '--version', '--workflow', '--help'
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]
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tts_engine_list_keys = [k for k in TTS_ENGINES.keys()]
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tts_engine_list_values = [k for k in TTS_ENGINES.values()]
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all_group = parser.add_argument_group('**** The following options are for all modes', 'Optional')
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all_group.add_argument(options[0], type=str, help=argparse.SUPPRESS)
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parser.add_argument(options[1], type=str, help='''Session to resume the conversion in case of interruption, crash,
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or reuse of custom models and custom cloning voices.''')
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gui_group = parser.add_argument_group('**** The following option are for gradio/gui mode only', 'Optional')
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gui_group.add_argument(options[2], action='store_true', help='''Enable a public shareable Gradio link.''')
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headless_group = parser.add_argument_group('**** The following options are for --headless mode only')
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headless_group.add_argument(options[3], action='store_true', help='''Run the script in headless mode''')
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headless_group.add_argument(options[4], type=str, help='''Path to the ebook file for conversion. Cannot be used when --ebooks_dir is present.''')
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headless_group.add_argument(options[5], type=str, help=f'''Relative or absolute path of the directory containing the files to convert.
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Cannot be used when --ebook is present.''')
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headless_group.add_argument(options[6], type=str, default=default_language_code, help=f'''Language of the e-book. Default language is set
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in ./lib/lang.py sed as default if not present. All compatible language codes are in ./lib/lang.py''')
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headless_optional_group = parser.add_argument_group('optional parameters')
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headless_optional_group.add_argument(options[7], type=str, default=None, help='''(Optional) Path to the voice cloning file for TTS engine.
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Uses the default voice if not present.''')
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headless_optional_group.add_argument(options[8], type=str, default=default_device, choices=list(devices.values()), help=f'''(Optional) Pprocessor unit type for the conversion.
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Default is set in ./lib/conf.py if not present. Fall back to CPU if CUDA or MPS is not available.''')
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headless_optional_group.add_argument(options[9], type=str, default=None, choices=tts_engine_list_keys+tts_engine_list_values, help=f'''(Optional) Preferred TTS engine (available are: {tts_engine_list_keys+tts_engine_list_values}.
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Default depends on the selected language. The tts engine should be compatible with the chosen language''')
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headless_optional_group.add_argument(options[10], type=str, default=None, help=f'''(Optional) Path to the custom model zip file cntaining mandatory model files.
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Please refer to ./lib/models.py''')
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headless_optional_group.add_argument(options[11], type=str, default=default_fine_tuned, help='''(Optional) Fine tuned model path. Default is builtin model.''')
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headless_optional_group.add_argument(options[12], type=str, default=default_output_format, help=f'''(Optional) Output audio format. Default is set in ./lib/conf.py''')
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headless_optional_group.add_argument(options[13], type=float, default=default_engine_settings[TTS_ENGINES['XTTSv2']]['temperature'], help=f"""(xtts only, optional) Temperature for the model.
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Default to config.json model. Higher temperatures lead to more creative outputs.""")
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headless_optional_group.add_argument(options[14], type=float, default=default_engine_settings[TTS_ENGINES['XTTSv2']]['length_penalty'], help=f"""(xtts only, optional) A length penalty applied to the autoregressive decoder.
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Default to config.json model. Not applied to custom models.""")
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headless_optional_group.add_argument(options[15], type=int, default=default_engine_settings[TTS_ENGINES['XTTSv2']]['num_beams'], help=f"""(xtts only, optional) Controls how many alternative sequences the model explores. Must be equal or greater than length penalty.
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Default to config.json model.""")
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headless_optional_group.add_argument(options[16], type=float, default=default_engine_settings[TTS_ENGINES['XTTSv2']]['repetition_penalty'], help=f"""(xtts only, optional) A penalty that prevents the autoregressive decoder from repeating itself.
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Default to config.json model.""")
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headless_optional_group.add_argument(options[17], type=int, default=default_engine_settings[TTS_ENGINES['XTTSv2']]['top_k'], help=f"""(xtts only, optional) Top-k sampling.
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Lower values mean more likely outputs and increased audio generation speed.
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Default to config.json model.""")
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headless_optional_group.add_argument(options[18], type=float, default=default_engine_settings[TTS_ENGINES['XTTSv2']]['top_p'], help=f"""(xtts only, optional) Top-p sampling.
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Lower values mean more likely outputs and increased audio generation speed. Default to config.json model.""")
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headless_optional_group.add_argument(options[19], type=float, default=default_engine_settings[TTS_ENGINES['XTTSv2']]['speed'], help=f"""(xtts only, optional) Speed factor for the speech generation.
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Default to config.json model.""")
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headless_optional_group.add_argument(options[20], action='store_true', help=f"""(xtts only, optional) Enable TTS text splitting. This option is known to not be very efficient.
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Default to config.json model.""")
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headless_optional_group.add_argument(options[21], type=float, default=default_engine_settings[TTS_ENGINES['BARK']]['text_temp'], help=f"""(bark only, optional) Text Temperature for the model.
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Default to config.json model.""")
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headless_optional_group.add_argument(options[22], type=float, default=default_engine_settings[TTS_ENGINES['BARK']]['waveform_temp'], help=f"""(bark only, optional) Waveform Temperature for the model.
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Default to config.json model.""")
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headless_optional_group.add_argument(options[23], type=str, help=f'''(Optional) Path to the output directory. Default is set in ./lib/conf.py''')
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headless_optional_group.add_argument(options[24], action='version', version=f'ebook2audiobook version {prog_version}', help='''Show the version of the script and exit''')
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headless_optional_group.add_argument(options[25], action='store_true', help=argparse.SUPPRESS)
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for arg in sys.argv:
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if arg.startswith('--') and arg not in options:
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error = f'Error: Unrecognized option "{arg}"'
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print(error)
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sys.exit(1)
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args = vars(parser.parse_args())
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if not 'help' in args:
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if not check_virtual_env(args['script_mode']):
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sys.exit(1)
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if not check_python_version():
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sys.exit(1)
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# Check if the port is already in use to prevent multiple launches
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if not args['headless'] and is_port_in_use(interface_port):
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error = f'Error: Port {interface_port} is already in use. The web interface may already be running.'
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print(error)
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sys.exit(1)
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args['script_mode'] = args['script_mode'] if args['script_mode'] else NATIVE
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args['session'] = 'ba800d22-ee51-11ef-ac34-d4ae52cfd9ce' if args['workflow'] else args['session'] if args['session'] else None
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args['share'] = args['share'] if args['share'] else False
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args['ebook_list'] = None
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print(f"v{prog_version} {args['script_mode']} mode")
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if args['script_mode'] == NATIVE:
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check_pkg = check_and_install_requirements(requirements_file)
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if check_pkg:
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if not check_dictionary():
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sys.exit(1)
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else:
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error = 'Some packages could not be installed'
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print(error)
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sys.exit(1)
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import lib.functions as f
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f.cleanup_garbage()
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f.context = f.SessionContext() if f.context is None else f.context
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f.context_tracker = f.SessionTracker() if f.context_tracker is None else f.context_tracker
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f.active_sessions = set() if f.active_sessions is None else f.active_sessions
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# Conditions based on the --headless flag
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if args['headless']:
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args['is_gui_process'] = False
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args['chapters_preview'] = False
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args['event'] = ''
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args['audiobooks_dir'] = os.path.abspath(args['output_dir']) if args['output_dir'] else audiobooks_cli_dir
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args['device'] = devices['CUDA'] if args['device'] == devices['CUDA'] else args['device']
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args['tts_engine'] = TTS_ENGINES[args['tts_engine']] if args['tts_engine'] in TTS_ENGINES.keys() else args['tts_engine'] if args['tts_engine'] in TTS_ENGINES.values() else None
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args['output_split'] = default_output_split
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args['output_split_hours'] = default_output_split_hours
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args['xtts_temperature'] = args['temperature']
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args['xtts_length_penalty'] = args['length_penalty']
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args['xtts_num_beams'] = args['num_beams']
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args['xtts_repetition_penalty'] = args['repetition_penalty']
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args['xtts_top_k'] = args['top_k']
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args['xtts_top_p'] = args['top_p']
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args['xtts_speed'] = args['speed']
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args['xtts_enable_text_splitting'] = False
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args['bark_text_temp'] = args['text_temp']
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args['bark_waveform_temp'] = args['waveform_temp']
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engine_setting_keys = {engine: list(settings.keys()) for engine, settings in default_engine_settings.items()}
|
|
valid_model_keys = engine_setting_keys.get(args['tts_engine'], [])
|
|
renamed_args = {}
|
|
for key in valid_model_keys:
|
|
if key in args:
|
|
renamed_args[f"{args['tts_engine']}_{key}"] = args.pop(key)
|
|
args.update(renamed_args)
|
|
# Condition to stop if both --ebook and --ebooks_dir are provided
|
|
if args['ebook'] and args['ebooks_dir']:
|
|
error = 'Error: You cannot specify both --ebook and --ebooks_dir in headless mode.'
|
|
print(error)
|
|
sys.exit(1)
|
|
# convert in absolute path voice, custom_model if any
|
|
if args['voice']:
|
|
if os.path.exists(args['voice']):
|
|
args['voice'] = os.path.abspath(args['voice'])
|
|
if args['custom_model']:
|
|
if os.path.exists(args['custom_model']):
|
|
args['custom_model'] = os.path.abspath(args['custom_model'])
|
|
if not os.path.exists(args['audiobooks_dir']):
|
|
error = 'Error: --output_dir path does not exist.'
|
|
print(error)
|
|
sys.exit(1)
|
|
if args['ebooks_dir']:
|
|
args['ebooks_dir'] = os.path.abspath(args['ebooks_dir'])
|
|
if not os.path.exists(args['ebooks_dir']):
|
|
error = f'Error: The provided --ebooks_dir "{args["ebooks_dir"]}" does not exist.'
|
|
print(error)
|
|
sys.exit(1)
|
|
args['ebook_list'] = []
|
|
for file in os.listdir(args['ebooks_dir']):
|
|
if any(file.endswith(ext) for ext in ebook_formats):
|
|
full_path = os.path.abspath(os.path.join(args['ebooks_dir'], file))
|
|
args['ebook_list'].append(full_path)
|
|
progress_status, passed = f.convert_ebook_batch(args)
|
|
if passed is False:
|
|
error = f'Conversion failed: {progress_status}'
|
|
print(error)
|
|
sys.exit(1)
|
|
elif args['ebook']:
|
|
args['ebook'] = os.path.abspath(args['ebook'])
|
|
if not os.path.exists(args['ebook']):
|
|
error = f'Error: The provided --ebook "{args["ebook"]}" does not exist.'
|
|
print(error)
|
|
sys.exit(1)
|
|
progress_status, passed = f.convert_ebook(args)
|
|
if passed is False:
|
|
error = f'Conversion failed: {progress_status}'
|
|
print(error)
|
|
sys.exit(1)
|
|
else:
|
|
error = 'Error: In headless mode, you must specify either an ebook file using --ebook or an ebook directory using --ebooks_dir.'
|
|
print(error)
|
|
sys.exit(1)
|
|
else:
|
|
args['is_gui_process'] = True
|
|
passed_arguments = sys.argv[1:]
|
|
allowed_arguments = {'--share', '--script_mode'}
|
|
passed_args_set = {arg for arg in passed_arguments if arg.startswith('--')}
|
|
if passed_args_set.issubset(allowed_arguments):
|
|
try:
|
|
#script_name = os.path.basename(sys.argv[0])
|
|
#kill_previous_instances(script_name)
|
|
app = f.build_interface(args)
|
|
if app is not None:
|
|
app.queue(
|
|
default_concurrency_limit=interface_concurrency_limit
|
|
).launch(
|
|
debug=bool(int(os.environ.get('GRADIO_DEBUG', '0'))),
|
|
show_error=debug_mode, favicon_path='./favicon.ico',
|
|
server_name=interface_host,
|
|
server_port=interface_port,
|
|
share= args['share'],
|
|
max_file_size=max_upload_size
|
|
)
|
|
except OSError as e:
|
|
error = f'Connection error: {e}'
|
|
f.alert_exception(error, None)
|
|
except socket.error as e:
|
|
error = f'Socket error: {e}'
|
|
f.alert_exception(error, None)
|
|
except KeyboardInterrupt:
|
|
error = 'Server interrupted by user. Shutting down...'
|
|
f.alert_exception(error, None)
|
|
except Exception as e:
|
|
error = f'An unexpected error occurred: {e}'
|
|
f.alert_exception(error, None)
|
|
else:
|
|
error = 'Error: In GUI mode, no option or only --share can be passed'
|
|
print(error)
|
|
sys.exit(1)
|
|
|
|
if __name__ == '__main__':
|
|
main()
|