From a18697ca4aacb9ab96bc1d91bc1275fd08bfe3e5 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Tue, 21 Nov 2023 11:59:12 -0800 Subject: [PATCH 01/15] hyphens confuse the sentence segmenter --- epub2tts.py | 1 + setup.py | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/epub2tts.py b/epub2tts.py index 64a6d2d..7242dc3 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -166,6 +166,7 @@ def get_chapters_epub(book, bookname): #strip some characters that might have caused TTS to choke text = chap2text(chapters[i]) text = text.replace("—", ", ") + text = text.replace("--", ", ") allowed_chars = string.ascii_letters + string.digits + "-,.!? '" text = ''.join(c for c in text if c in allowed_chars) if len(text) < 150: diff --git a/setup.py b/setup.py index 2d6c0d0..12c64d2 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ author_email='doc@aedo.net', url='https://github.com/aedocw/epub2tts', license='Apache License, Version 2.0', - version='1.5.0', + version='1.5.1', packages=find_packages(), install_requires=requirements, py_modules=['epub2tts'], From 27cab48e9c9958b54718d196eb9b347d359a6e05 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Tue, 21 Nov 2023 20:18:07 -0800 Subject: [PATCH 02/15] Use whisper to transcribe each chunk, compare to original --- epub2tts.py | 57 ++++++++++++++++++++++++++++++++---------------- requirements.txt | 3 ++- 2 files changed, 40 insertions(+), 20 deletions(-) diff --git a/epub2tts.py b/epub2tts.py index 7242dc3..22e0a8f 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -14,6 +14,7 @@ # To specify bitrate: --bitrate 30k # Output will be an m4b or mp3 with each chapter read by Coqui TTS: https://github.com/coqui-ai/TTS +import difflib import os import requests import string @@ -245,11 +246,19 @@ def combine_sentences(sentences, length=3500): combined = sentence yield combined +def compare(original, wavfile): + result = whispermodel.transcribe(wavfile) + ratio = difflib.SequenceMatcher(None, original, result["text"]).ratio() + print(result["text"]) + print("Ratio: " + str(ratio)) + return(ratio) + def main(): if "--xtts" in sys.argv: model_name = "tts_models/multilingual/multi-dataset/xtts_v2" index = sys.argv.index("--xtts") speaker_wav = sys.argv[index + 1] + whispermodel = whisper.local_model("tiny") else: model_name = "tts_models/en/vctk/vits" bookname = get_bookname() #detect .txt, .epub or https @@ -325,26 +334,36 @@ def main(): concatenated.export(outputwav, format="wav") for f in tempfiles: os.remove(f) - else: - if "--xtts" in sys.argv: + elif "--xtts" in sys.argv: #look at all this disgusting duplicated code! FIX IT!!! - tempfiles = [] - segmenter = pysbd.Segmenter(language="en", clean=True) - sentences = segmenter.segment(chapters_to_read[i]) - sentence_groups = list(combine_sentences(sentences, 1000)) - for x in range(len(sentence_groups)): - tempwav = "temp" + str(x) + ".wav" - tts.tts_to_file(text=sentence_groups[x], speaker_wav = speaker_wav, file_path=tempwav, language="en") - tempfiles.append(tempwav) - tempwavfiles = [AudioSegment.from_mp3(f"{f}") for f in tempfiles] - concatenated = sum(tempwavfiles) - concatenated.export(outputwav, format="wav") - for f in tempfiles: - os.remove(f) - - else: - tts.tts_to_file(text = chapters_to_read[i], speaker = speaker_used, file_path = outputwav) - + tempfiles = [] + segmenter = pysbd.Segmenter(language="en", clean=True) + sentences = segmenter.segment(chapters_to_read[i]) + sentence_groups = list(combine_sentences(sentences, 1000)) + for x in range(len(sentence_groups)): + retries = 3 + tempwav = "temp" + str(x) + ".wav" + while retries < 3: + try: + tts.tts_to_file(text=sentence_groups[x], speaker_wav = speaker_wav, file_path=tempwav, language="en") + ratio = compare(sentence_groups[x], tempwav) + if ratio < 0.86: + raise Exception("Spoken text did not sound right") + break + except Exception as e: + retries -= 1 + print(f"Error: {str(e)} ... Retrying ({retries} retries left)") + if retries == 0: + print("Something is wrong with the audio") + sys.exit() + tempfiles.append(tempwav) + tempwavfiles = [AudioSegment.from_mp3(f"{f}") for f in tempfiles] + concatenated = sum(tempwavfiles) + concatenated.export(outputwav, format="wav") + for f in tempfiles: + os.remove(f) + else: + tts.tts_to_file(text = chapters_to_read[i], speaker = speaker_used, file_path = outputwav) files.append(outputwav) position += len(chapters_to_read[i]) diff --git a/requirements.txt b/requirements.txt index bb31778..0c65a76 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,4 +4,5 @@ beautifulsoup4 openai pydub pysbd -newspaper3k \ No newline at end of file +newspaper3k +whisper From 4dfef0c155e2134b0851c67785beee20253fe33a Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Tue, 21 Nov 2023 20:51:57 -0800 Subject: [PATCH 03/15] forgot to import whisper --- epub2tts.py | 1 + 1 file changed, 1 insertion(+) diff --git a/epub2tts.py b/epub2tts.py index 22e0a8f..f9221fe 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -33,6 +33,7 @@ from TTS.api import TTS import torch, gc from openai import OpenAI +import whisper # Verify if CUDA or mps is available and select it From b2f3455c932cc5f3c5140582492ea66c59dcb4f3 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Tue, 21 Nov 2023 21:46:08 -0800 Subject: [PATCH 04/15] Working pretty good now --- epub2tts.py | 21 ++++++++++----------- requirements.txt | 8 +++++--- 2 files changed, 15 insertions(+), 14 deletions(-) diff --git a/epub2tts.py b/epub2tts.py index f9221fe..5a821cf 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -14,7 +14,6 @@ # To specify bitrate: --bitrate 30k # Output will be an m4b or mp3 with each chapter read by Coqui TTS: https://github.com/coqui-ai/TTS -import difflib import os import requests import string @@ -27,12 +26,13 @@ from bs4 import BeautifulSoup import ebooklib from ebooklib import epub +from fuzzywuzzy import fuzz from newspaper import Article +from openai import OpenAI from pydub import AudioSegment import pysbd -from TTS.api import TTS import torch, gc -from openai import OpenAI +from TTS.api import TTS import whisper @@ -48,6 +48,7 @@ blacklist = ['[document]', 'noscript', 'header', 'html', 'meta', 'head', 'input', 'script'] ffmetadatafile = "FFMETADATAFILE" +whispermodel = whisper.load_model("tiny") usage = """ Usage: @@ -249,9 +250,8 @@ def combine_sentences(sentences, length=3500): def compare(original, wavfile): result = whispermodel.transcribe(wavfile) - ratio = difflib.SequenceMatcher(None, original, result["text"]).ratio() - print(result["text"]) - print("Ratio: " + str(ratio)) + ratio = fuzz.ratio(original, result["text"]) + print("Text to transcription comparison ratio: " + str(ratio)) return(ratio) def main(): @@ -259,7 +259,6 @@ def main(): model_name = "tts_models/multilingual/multi-dataset/xtts_v2" index = sys.argv.index("--xtts") speaker_wav = sys.argv[index + 1] - whispermodel = whisper.local_model("tiny") else: model_name = "tts_models/en/vctk/vits" bookname = get_bookname() #detect .txt, .epub or https @@ -336,19 +335,19 @@ def main(): for f in tempfiles: os.remove(f) elif "--xtts" in sys.argv: -#look at all this disgusting duplicated code! FIX IT!!! +#look at all this duplicated code, should chunk and test ALL text the same way tempfiles = [] segmenter = pysbd.Segmenter(language="en", clean=True) sentences = segmenter.segment(chapters_to_read[i]) - sentence_groups = list(combine_sentences(sentences, 1000)) + sentence_groups = list(combine_sentences(sentences, 750)) for x in range(len(sentence_groups)): retries = 3 tempwav = "temp" + str(x) + ".wav" - while retries < 3: + while retries > 0: try: tts.tts_to_file(text=sentence_groups[x], speaker_wav = speaker_wav, file_path=tempwav, language="en") ratio = compare(sentence_groups[x], tempwav) - if ratio < 0.86: + if ratio < 90: raise Exception("Spoken text did not sound right") break except Exception as e: diff --git a/requirements.txt b/requirements.txt index 0c65a76..8df091d 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,8 +1,10 @@ -TTS -ebooklib beautifulsoup4 +ebooklib +fuzzywuzzy +newspaper3k openai pydub pysbd -newspaper3k +python-Levenshtein +TTS whisper From b136617eda6b7de6a1134337493ea58a81718f41 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Wed, 22 Nov 2023 08:14:49 -0800 Subject: [PATCH 05/15] preprocess before comparing --- epub2tts.py | 8 ++++++-- setup.py | 2 +- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/epub2tts.py b/epub2tts.py index 5a821cf..49c6acc 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -15,6 +15,7 @@ # Output will be an m4b or mp3 with each chapter read by Coqui TTS: https://github.com/coqui-ai/TTS import os +import re import requests import string import subprocess @@ -250,7 +251,8 @@ def combine_sentences(sentences, length=3500): def compare(original, wavfile): result = whispermodel.transcribe(wavfile) - ratio = fuzz.ratio(original, result["text"]) + original = re.sub(' +', ' ', original).lower().strip() + ratio = fuzz.ratio(original, result["text"].lower()) print("Text to transcription comparison ratio: " + str(ratio)) return(ratio) @@ -347,7 +349,7 @@ def main(): try: tts.tts_to_file(text=sentence_groups[x], speaker_wav = speaker_wav, file_path=tempwav, language="en") ratio = compare(sentence_groups[x], tempwav) - if ratio < 90: + if ratio < 94: raise Exception("Spoken text did not sound right") break except Exception as e: @@ -389,6 +391,7 @@ def main(): if "--mp3" in sys.argv: outputmp3 = bookname.split(".")[0]+"-"+speaker_used+".mp3" concatenated.export(outputmp3, format="mp3", parameters=["-write_xing", "0", "-filter:a", "speechnorm=e=6.25:r=0.00001:l=1"]) + print(outputmp3 + " complete") else: outputm4a = bookname.split(".")[0]+"-"+speaker_used+".m4a" outputm4b = outputm4a.replace("m4a", "m4b") @@ -405,6 +408,7 @@ def main(): subprocess.run(ffmpeg_command) os.remove(ffmetadatafile) os.remove(outputm4a) + print(outputm4b + " complete") #cleanup, delete the wav files we no longer need for f in files: os.remove(f) diff --git a/setup.py b/setup.py index 12c64d2..772d41b 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ author_email='doc@aedo.net', url='https://github.com/aedocw/epub2tts', license='Apache License, Version 2.0', - version='1.5.1', + version='1.5.2', packages=find_packages(), install_requires=requirements, py_modules=['epub2tts'], From 566db50cea2a3b28e1e5dd3319b1e8aa030c5e91 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Wed, 22 Nov 2023 12:19:09 -0800 Subject: [PATCH 06/15] make speaker name for xtts prettier --- epub2tts.py | 4 +++- setup.py | 2 +- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/epub2tts.py b/epub2tts.py index 49c6acc..814ec94 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -144,7 +144,9 @@ def get_speaker(): elif "--openai" in sys.argv: speaker_used = "onyx" elif "--xtts" in sys.argv: - speaker_used = "xtts" + index = sys.argv.index("--xtts") + speaker_used = "xtts-" + sys.argv[index + 1] + speaker_used = speaker_used.replace(".wav", "") else: speaker_used = "p335" print(f"Speaker: {speaker_used}") diff --git a/setup.py b/setup.py index 772d41b..0a8d2f9 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ author_email='doc@aedo.net', url='https://github.com/aedocw/epub2tts', license='Apache License, Version 2.0', - version='1.5.2', + version='1.5.3', packages=find_packages(), install_requires=requirements, py_modules=['epub2tts'], From 0b1acb629f85a55b63a182a68443968b71d32cf6 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Wed, 22 Nov 2023 13:24:16 -0800 Subject: [PATCH 07/15] resume where we left off, with chunks --- epub2tts.py | 29 ++++++++++++++++------------- setup.py | 2 +- 2 files changed, 17 insertions(+), 14 deletions(-) diff --git a/epub2tts.py b/epub2tts.py index 814ec94..b206a94 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -347,19 +347,22 @@ def main(): for x in range(len(sentence_groups)): retries = 3 tempwav = "temp" + str(x) + ".wav" - while retries > 0: - try: - tts.tts_to_file(text=sentence_groups[x], speaker_wav = speaker_wav, file_path=tempwav, language="en") - ratio = compare(sentence_groups[x], tempwav) - if ratio < 94: - raise Exception("Spoken text did not sound right") - break - except Exception as e: - retries -= 1 - print(f"Error: {str(e)} ... Retrying ({retries} retries left)") - if retries == 0: - print("Something is wrong with the audio") - sys.exit() + if os.path.isfile(tempwav): + print(tempwav + " exists, skipping to next chunk") + else: + while retries > 0: + try: + tts.tts_to_file(text=sentence_groups[x], speaker_wav = speaker_wav, file_path=tempwav, language="en") + ratio = compare(sentence_groups[x], tempwav) + if ratio < 94: + raise Exception("Spoken text did not sound right") + break + except Exception as e: + retries -= 1 + print(f"Error: {str(e)} ... Retrying ({retries} retries left)") + if retries == 0: + print("Something is wrong with the audio") + sys.exit() tempfiles.append(tempwav) tempwavfiles = [AudioSegment.from_mp3(f"{f}") for f in tempfiles] concatenated = sum(tempwavfiles) diff --git a/setup.py b/setup.py index 0a8d2f9..e611ef8 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ author_email='doc@aedo.net', url='https://github.com/aedocw/epub2tts', license='Apache License, Version 2.0', - version='1.5.3', + version='1.5.4', packages=find_packages(), install_requires=requirements, py_modules=['epub2tts'], From 839b8b84fef7a809d238b3a16e12c118e53ffc83 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Wed, 29 Nov 2023 10:54:50 -0800 Subject: [PATCH 08/15] Oof, specify the right whisper buddy --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 8df091d..a501219 100644 --- a/requirements.txt +++ b/requirements.txt @@ -7,4 +7,4 @@ pydub pysbd python-Levenshtein TTS -whisper +openai-whisper From fb0f9c97a7be23bbcf44a53aaca088214bbc2b76 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Wed, 29 Nov 2023 10:55:25 -0800 Subject: [PATCH 09/15] and remember to bump the version --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index e611ef8..02b31db 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ author_email='doc@aedo.net', url='https://github.com/aedocw/epub2tts', license='Apache License, Version 2.0', - version='1.5.4', + version='1.5.5', packages=find_packages(), install_requires=requirements, py_modules=['epub2tts'], From 26b36596923bf8d24836a83e98e06ba035fb1b65 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Thu, 30 Nov 2023 14:18:07 -0800 Subject: [PATCH 10/15] added --model option --- epub2tts.py | 10 +++++++++- setup.py | 2 +- 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/epub2tts.py b/epub2tts.py index b206a94..6154b7b 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -64,6 +64,7 @@ To use Coqui XTTS, add: --xtts (GPU absolutely required, and even then it's slow but sounds amazing!) To use OpenAI TTS, add: --openai (Use speaker option to specify voice other than onyx: `--speaker shimmer`) To change speaker (ex p307 for a good male voice), add: --speaker p307 +To used a different model, add: "--model " To output in mp3 format instead of m4b, add: --mp3 To skip reading any links, add: --skip-links To specify which chapter to start on (ex 3): --start 3 @@ -263,6 +264,9 @@ def main(): model_name = "tts_models/multilingual/multi-dataset/xtts_v2" index = sys.argv.index("--xtts") speaker_wav = sys.argv[index + 1] + elif "--model" in sys.argv: + index = sys.argv.index("--model") + model_name = sys.argv[index + 1] else: model_name = "tts_models/en/vctk/vits" bookname = get_bookname() #detect .txt, .epub or https @@ -370,7 +374,11 @@ def main(): for f in tempfiles: os.remove(f) else: - tts.tts_to_file(text = chapters_to_read[i], speaker = speaker_used, file_path = outputwav) + if "--model" in sys.argv: + #assume we're using a single speaker model here + tts.tts_to_file(text = chapters_to_read[i], file_path = outputwav) + else: + tts.tts_to_file(text = chapters_to_read[i], speaker = speaker_used, file_path = outputwav) files.append(outputwav) position += len(chapters_to_read[i]) diff --git a/setup.py b/setup.py index 02b31db..cdb1d99 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ author_email='doc@aedo.net', url='https://github.com/aedocw/epub2tts', license='Apache License, Version 2.0', - version='1.5.5', + version='1.5.6', packages=find_packages(), install_requires=requirements, py_modules=['epub2tts'], From c7204d1b832924d8b79530aa285830213f401dda Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Thu, 30 Nov 2023 15:54:41 -0800 Subject: [PATCH 11/15] Skip links smarter --- epub2tts.py | 4 ++++ setup.py | 2 +- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/epub2tts.py b/epub2tts.py index 6154b7b..4f02b4a 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -79,6 +79,10 @@ def chap2text(chap): # Remove everything that is an href for a in soup.findAll('a', href=True): a.extract() + #Always skip reading links that have text starting with http + for a in soup.findAll('a', href=True): + if a.get_text().startswith('http'): + a.extract() #Always skip reading links that are just a number (footnotes) for a in soup.findAll('a', href=True): if a.text.isdigit(): diff --git a/setup.py b/setup.py index cdb1d99..465cbae 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ author_email='doc@aedo.net', url='https://github.com/aedocw/epub2tts', license='Apache License, Version 2.0', - version='1.5.6', + version='1.5.7', packages=find_packages(), install_requires=requirements, py_modules=['epub2tts'], From df3fbd8a4208d117aecb240cda563b76d5be19f1 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Tue, 7 Nov 2023 06:54:26 -0800 Subject: [PATCH 12/15] WIP --- epubclassy.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 epubclassy.py diff --git a/epubclassy.py b/epubclassy.py new file mode 100644 index 0000000..e69de29 From 19e68c73a46c00f5cd957c7ddd15391249b3b971 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Sun, 3 Dec 2023 15:56:21 -0800 Subject: [PATCH 13/15] Major refactor, classes and XTTS streaming --- epub2tts.py | 699 ++++++++++++++++++--------------------- epubclassy.py | 0 requirements.txt | 8 +- sample-onyx-openai.m4b | Bin 0 -> 208350 bytes sample-p307-coquiTTS.m4b | Bin 0 -> 181778 bytes sample-p335-coquiTTS.m4b | Bin 0 -> 178401 bytes sample.txt | 7 + setup.py | 6 +- 8 files changed, 336 insertions(+), 384 deletions(-) delete mode 100644 epubclassy.py create mode 100644 sample-onyx-openai.m4b create mode 100644 sample-p307-coquiTTS.m4b create mode 100644 sample-p335-coquiTTS.m4b create mode 100644 sample.txt diff --git a/epub2tts.py b/epub2tts.py index 4f02b4a..38a4666 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -1,434 +1,373 @@ -# Inspired by this medium article: -# https://medium.com/@zazazakaria18/turn-your-ebook-to-text-with-python-in-seconds-2a1e42804913 -# and this post which just cleaned up what was in the medium article: -# https://xwiki.recursos.uoc.edu/wiki/mat00001ca/view/Research%20on%20Translation%20Technologies/Working%20with%20PDF%20files%20using%20Python/ -# -# Usage: `epub2tts my-book.epub` -# To change speaker (ex p307 for a good male voice), add: `--speaker p307` -# To output in mp3 format instead of m4b, add: `--mp3` -# To skip reading any links, add: `--skip-links` -# Using `--scan` will list excerpts of each chapter, then exit. This is helpful -# for finding which chapter to start and end on if you want to skip bibliography, TOC, etc. -# To specify which chapter to start on (ex 3): `--start 3` -# To specify which chapter to end on (ex 20): `--end 20` -# To specify bitrate: --bitrate 30k -# Output will be an m4b or mp3 with each chapter read by Coqui TTS: https://github.com/coqui-ai/TTS - +import argparse import os import re -import requests import string import subprocess import sys import time +import warnings import wave - from bs4 import BeautifulSoup import ebooklib from ebooklib import epub from fuzzywuzzy import fuzz from newspaper import Article +import noisereduce from openai import OpenAI +from pedalboard import Pedalboard, Compressor, Gain, NoiseGate, LowShelfFilter +from pedalboard.io import AudioFile from pydub import AudioSegment +from pydub.silence import split_on_silence import pysbd +import requests import torch, gc +import torchaudio from TTS.api import TTS +from TTS.tts.configs.xtts_config import XttsConfig +from TTS.tts.models.xtts import Xtts +from TTS.utils.generic_utils import get_user_data_dir +from tqdm import tqdm import whisper -# Verify if CUDA or mps is available and select it -if torch.cuda.is_available(): - device = "cuda" -#except mps doesn't work right for this yet :( -#elif torch.backends.mps.is_available(): -# device = "mps" -else: - device = "cpu" -print(f"Using device: {device}") - -blacklist = ['[document]', 'noscript', 'header', 'html', 'meta', 'head', 'input', 'script'] -ffmetadatafile = "FFMETADATAFILE" -whispermodel = whisper.load_model("tiny") - -usage = """ -Usage: - EPUB: epub2tts my-book.epub - TEXT: epub2tts my-book.txt - URL: epub2tts --url https://www.example.com/page --name example-page - -Adding --scan will list excerpts of each chapter, then exit. This is -helpful for finding which chapter to start and end on if you want to -skip TOC, bibliography, etc. - -To use Coqui XTTS, add: --xtts (GPU absolutely required, and even then it's slow but sounds amazing!) -To use OpenAI TTS, add: --openai (Use speaker option to specify voice other than onyx: `--speaker shimmer`) -To change speaker (ex p307 for a good male voice), add: --speaker p307 -To used a different model, add: "--model " -To output in mp3 format instead of m4b, add: --mp3 -To skip reading any links, add: --skip-links -To specify which chapter to start on (ex 3): --start 3 -To specify which chapter to end on (ex 20): --end 20 -To specify bitrate (ex 30k): --bitrate 30k -""" - -def chap2text(chap): - output = '' - soup = BeautifulSoup(chap, 'html.parser') - if "--skip-links" in sys.argv: - # Remove everything that is an href +class EpubToAudiobook: + def __init__(self, source, start, end, skiplinks, engine, debug): + self.source = source + self.bookname = os.path.splitext(os.path.basename(source))[0] + self.start = start - 1 + self.end = end + self.skiplinks = skiplinks + self.engine = engine + self.debug = debug + self.output_filename = self.bookname + ".m4b" + self.chapters = [] + self.chapters_to_read = [] + if source.endswith('.epub'): + self.book = epub.read_epub(source) + self.sourcetype = 'epub' + elif source.endswith('.txt'): + self.sourcetype = 'txt' + else: + print("Can only handle epub or txt as source.") + sys.exit() + self.tts_dir = str(get_user_data_dir("tts")) + self.xtts_model = self.tts_dir + "/tts_models--multilingual--multi-dataset--xtts_v2" + self.whispermodel = whisper.load_model("tiny") + self.ffmetadatafile = "FFMETADATAFILE" + if torch.cuda.is_available(): + self.device = "cuda" + else: + self.device = "cpu" + + def generate_metadata(self, files, title, author): + chap = 1 + start_time = 0 + with open(self.ffmetadatafile, "w") as file: + file.write(";FFMETADATA1\n") + file.write("ARTIST=" + str(author) + "\n") + file.write("ALBUM=" + str(title) + "\n") + for file_name in files: + duration = self.get_wav_duration(file_name) + file.write("[CHAPTER]\n") + file.write("TIMEBASE=1/1000\n") + file.write("START=" + str(start_time) + "\n") + file.write("END=" + str(start_time + duration) + "\n") + file.write("title=Part " + str(chap) + "\n") + chap += 1 + start_time += duration + + def get_wav_duration(self, file_path): + with wave.open(file_path, 'rb') as wav_file: + num_frames = wav_file.getnframes() + frame_rate = wav_file.getframerate() + duration = num_frames / frame_rate + duration_milliseconds = duration * 1000 + return int(duration_milliseconds) + + def get_length(self, start, end, chapters_to_read): + total_chars = 0 + for i in range(start, end): + total_chars += len(chapters_to_read[i]) + return (total_chars) + + def chap2text(self, chap): + blacklist = ['[document]', 'noscript', 'header', 'html', 'meta', 'head', 'input', 'script'] + output = '' + soup = BeautifulSoup(chap, 'html.parser') + if self.skiplinks: + # Remove everything that is an href + for a in soup.findAll('a', href=True): + a.extract() + # Always skip reading links that are just a number (footnotes) for a in soup.findAll('a', href=True): - a.extract() - #Always skip reading links that have text starting with http - for a in soup.findAll('a', href=True): - if a.get_text().startswith('http'): - a.extract() - #Always skip reading links that are just a number (footnotes) - for a in soup.findAll('a', href=True): - if a.text.isdigit(): - a.extract() - text = soup.find_all(string=True) - for t in text: - if t.parent.name not in blacklist: - output += '{} '.format(t) - return output - - -def get_wav_duration(file_path): - with wave.open(file_path, 'rb') as wav_file: - num_frames = wav_file.getnframes() - frame_rate = wav_file.getframerate() - duration = num_frames / frame_rate - duration_milliseconds = duration * 1000 - return int(duration_milliseconds) - - -def gen_ffmetadata(files, title, author): - chap = 1 - start_time = 0 - with open(ffmetadatafile, "w") as file: - file.write(";FFMETADATA1\n") - file.write("ARTIST=" + str(author) + "\n") - file.write("ALBUM=" + str(title) + "\n") - for file_name in files: - duration = get_wav_duration(file_name) - file.write("[CHAPTER]\n") - file.write("TIMEBASE=1/1000\n") - file.write("START=" + str(start_time) + "\n") - file.write("END=" + str(start_time + duration) + "\n") - file.write("title=Part " + str(chap) + "\n") - chap += 1 - start_time += duration - -def get_bookname(): - bookname = '' - for i, arg in enumerate(sys.argv): - if arg.endswith('.txt') or arg.endswith('.epub'): - bookname = arg - if ("--url" in sys.argv) and ("--name" in sys.argv): - index = sys.argv.index("--name") - bookname = sys.argv[index + 1] + ".url" - if len(bookname) > 0: - print(f"Book filename: {bookname}") - return(bookname) - elif ("--url" in sys.argv) and ("--name" in sys.argv): - return(".url") - else: - print(usage) - sys.exit() - -def get_url(): - index = sys.argv.index("--url") - url = sys.argv[index + 1] - return(url) - -def get_speaker(): - if "--speaker" in sys.argv: - index = sys.argv.index("--speaker") - speaker_used = sys.argv[index + 1] - elif "--openai" in sys.argv: - speaker_used = "onyx" - elif "--xtts" in sys.argv: - index = sys.argv.index("--xtts") - speaker_used = "xtts-" + sys.argv[index + 1] - speaker_used = speaker_used.replace(".wav", "") - else: - speaker_used = "p335" - print(f"Speaker: {speaker_used}") - return(speaker_used) - -def get_bitrate(): - if "--bitrate" in sys.argv: - index = sys.argv.index("--bitrate") - bitrate = sys.argv[index + 1] - else: - bitrate = "69k" - print(f"Bitrate: {bitrate}") - return(bitrate) - -def get_chapters_epub(book, bookname): - chapters = [] - for item in book.get_items(): - if item.get_type() == ebooklib.ITEM_DOCUMENT: - chapters.append(item.get_content()) - - chapters_to_read = [] - for i in range(len(chapters)): - #strip some characters that might have caused TTS to choke - text = chap2text(chapters[i]) - text = text.replace("—", ", ") - text = text.replace("--", ", ") - allowed_chars = string.ascii_letters + string.digits + "-,.!? '" - text = ''.join(c for c in text if c in allowed_chars) - if len(text) < 150: - #too short to bother with - continue - outputwav = str(i)+"-"+bookname.split(".")[0]+".wav" - print(outputwav + " Length: " + str(len(text))) - print("Part: " + str(len(chapters_to_read)+1)) + if a.text.isdigit(): + a.extract() + text = soup.find_all(string=True) + for t in text: + if t.parent.name not in blacklist: + output += '{} '.format(t) + return output + + def get_chapters_epub(self): + for item in self.book.get_items(): + if item.get_type() == ebooklib.ITEM_DOCUMENT: + self.chapters.append(item.get_content()) + + for i in range(len(self.chapters)): + #strip some characters that might have caused TTS to choke + text = self.chap2text(self.chapters[i]) + text = text.replace("—", ", ").replace("--", ", ").replace(";", ", ").replace(":", ", ").replace("''", ", ") + allowed_chars = string.ascii_letters + string.digits + "-,.!? " + text = ''.join(c for c in text if c in allowed_chars) + if len(text) < 150: + #too short to bother with + continue + print("Length: " + str(len(text))) + print("Part: " + str(len(self.chapters_to_read) + 1)) + print(text[:256]) + self.chapters_to_read.append(text) # append the last piece of text (shorter than max_len) + print("Number of chapters to read: " + str(len(self.chapters_to_read))) + if self.end == 999: + self.end = len(self.chapters_to_read) + + def get_chapters_text(self): + with open(self.source, 'r') as file: + text = file.read() print(text[:256]) - chapters_to_read.append(text) # append the last piece of text (shorter than max_len) - print("Number of chapters to read: " + str(len(chapters_to_read))) - if "--scan" in sys.argv: - sys.exit() - return(chapters_to_read) - -def get_chapters_text(text): - chapters_to_read = [] - max_len = 50000 - while len(text) > max_len: - pos = text.rfind(' ', 0, max_len) # find the last space within the limit - chapters_to_read.append(text[:pos]) - print("Part: " + str(len(chapters_to_read))) - print(str(chapters_to_read[-1])[:256]) - text = text[pos+1:] # +1 to avoid starting the next chapter with a space - chapters_to_read.append(text) - return(chapters_to_read) - -def get_text(bookname): - with open(bookname, 'r') as file: - text = file.read() - return(text) - -def get_url_text(url): - article = Article(url) - article.download() - article.parse() - return(article.text) - -def get_length(start, end, chapters_to_read): - total_chars = 0 - for i in range(start, end): - total_chars += len(chapters_to_read[i]) - return(total_chars) - -def get_start(): -# There are definitely better ways to handle arguments, this should be fixed - if "--start" in sys.argv: - start = int(sys.argv[sys.argv.index("--start") + 1]) - 1 - else: - start = 0 - return(start) - -def get_end(chapters_to_read): -# There are definitely better ways to handle arguments, this should be fixed - if "--end" in sys.argv: - end = int(sys.argv[sys.argv.index("--end") + 1]) - else: - end = len(chapters_to_read) - return(end) - -def get_api_key(): - if "--openai" in sys.argv: - key = str(sys.argv[sys.argv.index("--openai") + 1]) - else: - key = '' - print(key) - return(key) - -def combine_sentences(sentences, length=3500): - combined = "" - for sentence in sentences: - if len(combined) + len(sentence) <= length: - combined += sentence + " " - else: - yield combined - combined = sentence - yield combined - -def compare(original, wavfile): - result = whispermodel.transcribe(wavfile) - original = re.sub(' +', ' ', original).lower().strip() - ratio = fuzz.ratio(original, result["text"].lower()) - print("Text to transcription comparison ratio: " + str(ratio)) - return(ratio) - -def main(): - if "--xtts" in sys.argv: - model_name = "tts_models/multilingual/multi-dataset/xtts_v2" - index = sys.argv.index("--xtts") - speaker_wav = sys.argv[index + 1] - elif "--model" in sys.argv: - index = sys.argv.index("--model") - model_name = sys.argv[index + 1] - else: - model_name = "tts_models/en/vctk/vits" - bookname = get_bookname() #detect .txt, .epub or https - booktype = bookname.split('.')[-1] - speaker_used = get_speaker() - openai_api_key = get_api_key() - if booktype == "epub": - book = epub.read_epub(bookname) - chapters_to_read = get_chapters_epub(book, bookname) - elif booktype == "txt": - print("Detected TEXT for file type, --scan, --start and --end will be ignored") - text = get_text(bookname) - chapters_to_read = get_chapters_text(text) - elif booktype == "url": - print("Detected URL for file type, --scan, --start and --end will be ignored") - url = get_url() - text = get_url_text(url) - print("Name: " + bookname) - print(text) - while True: - user_input = input("Look good, continue? (y/n): ") - if user_input.lower() not in ['y', 'n']: - print("Invalid input. Please enter y for yes or n for no.") - elif user_input.lower() == 'n': - sys.exit() + self.chapters_to_read.append(text) + self.end = len(self.chapters_to_read) + + def read_chunk_xtts(self, sentences, wav_file_path): + #takes list of sentences to read, reads through them and saves to wave file + t0 = time.time() + wav_chunks = [] + segmenter = pysbd.Segmenter(language="en", clean=True) + sentence_list = segmenter.segment(sentences) + for i, sentence in enumerate(sentence_list): + # Run TTS for each sentence + print(sentence) if self.debug else None + chunks = self.model.inference_stream( + sentence, + "en", + self.gpt_cond_latent, + self.speaker_embedding, + stream_chunk_size=60, + temperature=0.60, + repetition_penalty=10.0, + enable_text_splitting=True + ) + for j, chunk in enumerate(chunks): + if i == 0: + print(f"Time to first chunck: {time.time() - t0}") if self.debug else None + print(f"Received chunk {i} of audio length {chunk.shape[-1]}") if self.debug else None + wav_chunks.append(chunk.to(device=self.device)) # Move chunk to available device + # Add a short pause between sentences (e.g., X.XX seconds of silence) + if i < len(sentence_list) - 1: + silence_duration = int(24000 * 1.0) + silence = torch.zeros((silence_duration,), dtype=torch.float32, + device=self.device) # Move silence tensor to available device + wav_chunks.append(silence) + wav = torch.cat(wav_chunks, dim=0) + torchaudio.save(wav_file_path, wav.squeeze().unsqueeze(0).cpu(), 24000) + with AudioFile(wav_file_path).resampled_to(24000) as f: + audio = f.read(f.frames) + reduced_noise = noisereduce.reduce_noise(y=audio, sr=24000, stationary=True, prop_decrease=0.75) + board = Pedalboard([ + NoiseGate(threshold_db=-30, ratio=1.5, release_ms=250), + Compressor(threshold_db=12, ratio=2.5), + LowShelfFilter(cutoff_frequency_hz=400, gain_db=5, q=1), + Gain(gain_db=0) + ]) + result = board(reduced_noise, 24000) + with AudioFile(wav_file_path, 'w', 24000, result.shape[0]) as f: + f.write(result) + + def compare(self, text, wavfile): + result = self.whispermodel.transcribe(wavfile) + text = re.sub(' +', ' ', text).lower().strip() + ratio = fuzz.ratio(text, result["text"].lower()) + print("Transcript: " + result["text"].lower()) if self.debug else None + print("Text to transcript comparison ratio: " + str(ratio)) if self.debug else None + return (ratio) + + def combine_sentences(self, sentences, length=1000): + combined = "" + for sentence in sentences: + if len(combined) + len(sentence) <= length: + combined += sentence + " " else: - print("Continuing...") - break - chapters_to_read = get_chapters_text(text) - start = get_start() - end = get_end(chapters_to_read) - total_chars = get_length(start, end, chapters_to_read) - print("Total characters: " + str(total_chars)) - if "--openai" in sys.argv: - while True: - openai_sdcost = (total_chars/1000) * 0.015 - print("OpenAI TTS SD Cost: $" + str(openai_sdcost)) - user_input = input("This will not be free, continue? (y/n): ") - if user_input.lower() not in ['y', 'n']: - print("Invalid input. Please enter y for yes or n for no.") - elif user_input.lower() == 'n': - sys.exit() - else: - print("Continuing...") - break - files = [] - position = 0 - start_time = time.time() - if "--openai" in sys.argv: - client = OpenAI(api_key=openai_api_key) - else: - tts = TTS(model_name).to(device) - - for i in range(start, end): - outputwav = bookname.split(".")[0]+"-"+str(i+1)+".wav" - print("Reading " + str(i)) - if os.path.isfile(outputwav): - print(outputwav + " exists, skipping to next chapter") + yield combined + combined = sentence + yield combined + + def read_book(self, voice_samples, engine, openai, model_name, speaker, bitrate): + self.model_name = model_name + self.openai = openai + if engine == 'xtts': + self.voice_samples = voice_samples.split(",") + voice_name = "-" + re.split('-|\d+|\.', self.voice_samples[0])[0] + elif engine == 'openai': + if speaker == 'p335': + speaker = 'onyx' + voice_name = "-" + speaker else: - if "--openai" in sys.argv: - tempfiles = [] - segmenter = pysbd.Segmenter(language="en", clean=True) - sentences = segmenter.segment(chapters_to_read[i]) - sentence_groups = list(combine_sentences(sentences)) - for x in range(len(sentence_groups)): - tempwav = "temp" + str(x) + ".mp3" - print(sentence_groups[x]) - response = client.audio.speech.create( model="tts-1", voice=speaker_used, input=sentence_groups[x]) - response.stream_to_file(tempwav) - tempfiles.append(tempwav) - tempwavfiles = [AudioSegment.from_mp3(f"{f}") for f in tempfiles] - concatenated = sum(tempwavfiles) - concatenated.export(outputwav, format="wav") - for f in tempfiles: - os.remove(f) - elif "--xtts" in sys.argv: -#look at all this duplicated code, should chunk and test ALL text the same way + voice_name = "-" + speaker + self.output_filename = re.sub('.m4b', voice_name + ".m4b", self.output_filename) + print("Saving to " + self.output_filename) + total_chars = self.get_length(self.start, self.end, self.chapters_to_read) + print("Total characters: " + str(total_chars)) + if engine == "xtts": + print("Loading model: " + self.xtts_model) + config = XttsConfig() + model_json = self.xtts_model + "/config.json" + config.load_json(model_json) + self.model = Xtts.init_from_config(config) + self.model.load_checkpoint(config, + checkpoint_dir=self.xtts_model, + use_deepspeed=False) + self.model.cuda() + print("Computing speaker latents...") + self.gpt_cond_latent, self.speaker_embedding = self.model.get_conditioning_latents( + audio_path=self.voice_samples) + elif engine == "openai": + while True: + openai_sdcost = (total_chars/1000) * 0.015 + print("OpenAI TTS SD Cost: $" + str(openai_sdcost)) + user_input = input("This will not be free, continue? (y/n): ") + if user_input.lower() not in ['y', 'n']: + print("Invalid input. Please enter y for yes or n for no.") + elif user_input.lower() == 'n': + sys.exit() + else: + print("Continuing...") + break + client = OpenAI(api_key=self.openai) + else: + print("Engine is TTS, model is " + model_name) + self.tts = TTS(model_name).to(self.device) + + files = [] + position = 0 + start_time = time.time() + print("Reading from " + str(self.start) + " to " + str(self.end)) + for i in range(self.start, self.end): + outputwav = self.bookname + "-" + str(i+1) + ".wav" + if os.path.isfile(outputwav): + print(outputwav + " exists, skipping to next chapter") + else: + #print("Debug is " + str(self.debug)) tempfiles = [] segmenter = pysbd.Segmenter(language="en", clean=True) - sentences = segmenter.segment(chapters_to_read[i]) - sentence_groups = list(combine_sentences(sentences, 750)) - for x in range(len(sentence_groups)): - retries = 3 + sentences = segmenter.segment(self.chapters_to_read[i]) + sentence_groups = list(self.combine_sentences(sentences)) + for x in tqdm(range(len(sentence_groups))): + retries = 1 tempwav = "temp" + str(x) + ".wav" if os.path.isfile(tempwav): print(tempwav + " exists, skipping to next chunk") else: while retries > 0: try: - tts.tts_to_file(text=sentence_groups[x], speaker_wav = speaker_wav, file_path=tempwav, language="en") - ratio = compare(sentence_groups[x], tempwav) - if ratio < 94: - raise Exception("Spoken text did not sound right") + if engine == "xtts": + self.read_chunk_xtts(sentence_groups[x], tempwav) + elif engine == "openai": + response = client.audio.speech.create( model="tts-1", voice=speaker, input=sentence_groups[x]) + response.stream_to_file(tempwav) + elif engine == "tts": + if model_name == 'tts_models/en/vctk/vits': + #assume we're using a multi-speaker model + self.tts.tts_to_file(text = sentence_groups[x], speaker = speaker, file_path = tempwav) + else: + self.tts.tts_to_file(text = sentence_groups[x], file_path = tempwav) + ratio = self.compare(sentence_groups[x], tempwav) + if ratio < 88: + raise Exception("Spoken text did not sound right - " +str(ratio)) break except Exception as e: retries -= 1 print(f"Error: {str(e)} ... Retrying ({retries} retries left)") if retries == 0: - print("Something is wrong with the audio") - sys.exit() + print("Something is wrong with the audio (" + str(ratio) + "): " + tempwav) + #sys.exit() tempfiles.append(tempwav) tempwavfiles = [AudioSegment.from_mp3(f"{f}") for f in tempfiles] concatenated = sum(tempwavfiles) concatenated.export(outputwav, format="wav") for f in tempfiles: os.remove(f) - else: - if "--model" in sys.argv: - #assume we're using a single speaker model here - tts.tts_to_file(text = chapters_to_read[i], file_path = outputwav) - else: - tts.tts_to_file(text = chapters_to_read[i], speaker = speaker_used, file_path = outputwav) - - files.append(outputwav) - position += len(chapters_to_read[i]) - percentage = (position / total_chars) *100 - print(f"{percentage:.2f}% spoken so far.") - elapsed_time = time.time() - start_time - chars_remaining = total_chars - position - estimated_total_time = elapsed_time / position * total_chars - estimated_time_remaining = estimated_total_time - elapsed_time - print(f"Elapsed: {int(elapsed_time / 60)} minutes, ETA: {int((estimated_time_remaining) / 60)} minutes") - - # Clean GPU cache to have it all available for next step - if device == 'cuda': + files.append(outputwav) + position += len(self.chapters_to_read[i]) + percentage = (position / total_chars) * 100 + print(f"{percentage:.2f}% spoken so far.") + elapsed_time = time.time() - start_time + chars_remaining = total_chars - position + estimated_total_time = elapsed_time / position * total_chars + estimated_time_remaining = estimated_total_time - elapsed_time + print(f"Elapsed: {int(elapsed_time / 60)} minutes, ETA: {int((estimated_time_remaining) / 60)} minutes") gc.collect() torch.cuda.empty_cache() - else: - pass - - - #Load all WAV files and concatenate into one object - wav_files = [AudioSegment.from_wav(f"{f}") for f in files] - concatenated = sum(wav_files) - if "--mp3" in sys.argv: - outputmp3 = bookname.split(".")[0]+"-"+speaker_used+".mp3" - concatenated.export(outputmp3, format="mp3", parameters=["-write_xing", "0", "-filter:a", "speechnorm=e=6.25:r=0.00001:l=1"]) - print(outputmp3 + " complete") - else: - outputm4a = bookname.split(".")[0]+"-"+speaker_used+".m4a" - outputm4b = outputm4a.replace("m4a", "m4b") - bitrate = get_bitrate() + # Load all WAV files and concatenate into one object + wav_files = [AudioSegment.from_wav(f"{f}") for f in files] + one_sec_silence = AudioSegment.silent(duration=1000) + concatenated = AudioSegment.empty() + for audio in wav_files: + # Split audio into chunks where detected silence is longer than one second + chunks = split_on_silence(audio, min_silence_len=1000, silence_thresh=-50) + # Iterate through each chunk + for i, chunk in enumerate(tqdm(chunks)): + concatenated += chunk + concatenated += one_sec_silence + outputm4a = self.output_filename.replace("m4b", "m4a") concatenated.export(outputm4a, format="ipod", bitrate=bitrate) - if booktype == 'epub': - author = book.get_metadata('DC', 'creator')[0][0] - title = book.get_metadata('DC', 'title')[0][0] + if self.sourcetype == 'epub': + author = self.book.get_metadata('DC', 'creator')[0][0] + title = self.book.get_metadata('DC', 'title')[0][0] else: author = "Unknown" - title = bookname - gen_ffmetadata(files, title, author) - ffmpeg_command = ["ffmpeg","-i",outputm4a,"-i",ffmetadatafile,"-map_metadata","1","-codec","copy",outputm4b] + title = self.bookname + self.generate_metadata(files, title, author) + ffmpeg_command = ["ffmpeg","-i",outputm4a,"-i",self.ffmetadatafile,"-map_metadata","1","-codec","copy",self.output_filename] subprocess.run(ffmpeg_command) - os.remove(ffmetadatafile) + os.remove(self.ffmetadatafile) os.remove(outputm4a) - print(outputm4b + " complete") - #cleanup, delete the wav files we no longer need - for f in files: - os.remove(f) + for f in files: + os.remove(f) + print(self.output_filename + " complete") + +def main(): + warnings.filterwarnings("ignore", category=UserWarning) + parser = argparse.ArgumentParser( + prog='EpubToAudiobook', + description='Read an epub (or other source) to audiobook format') + parser.add_argument('sourcefile', type=str, help='The epub or text file to process') + parser.add_argument('--engine', type=str, default='tts', nargs='?', const='tts', help='Which TTS to use [tts|xtts|openai]') + parser.add_argument('--xtts', type=str, nargs='?', const="zzz", default="zzz", help='Sample wave file(s) for XTTS training separated by commas') + parser.add_argument('--openai', type=str, nargs='?', const="zzz", default="zzz", help='OpenAI API key if engine is OpenAI') + parser.add_argument('--model', type=str, nargs='?', const='tts_models/en/vctk/vits', default='tts_models/en/vctk/vits', help='TTS model to use, default: tts_models/en/vctk/vits') + parser.add_argument('--speaker', type=str, default='p335', nargs='?', const='p335', help='Speaker to use (ex p335 for VITS, or onyx for OpenAI)') + parser.add_argument("--scan", action='store_true', help='Scan the epub to show beginning of chapters, then exit') + parser.add_argument('--start', type=int, nargs='?', const=1, default=1, help='Chapter/part to start from') + parser.add_argument('--end', type=int, nargs='?', const=999, default=999, help='Chapter/part to end with') + parser.add_argument('--skiplinks', action='store_true', help='Skip reading any HTML links') + parser.add_argument('--bitrate', type=str, nargs='?', const="69k", default="69k", help="Specify bitrate for output file") + parser.add_argument('--debug', action='store_true', help='Enable debug output') + args = parser.parse_args() + print(args) + + if args.openai != "zzz": + args.engine = "openai" + if args.xtts != "zzz": + args.engine = "xtts" + mybook = EpubToAudiobook(source=args.sourcefile, start=args.start, end=args.end, skiplinks=args.skiplinks, engine=args.engine, debug=args.debug) + if mybook.sourcetype == 'epub': + mybook.get_chapters_epub() + else: + mybook.get_chapters_text() + if args.scan: + sys.exit() + mybook.read_book(voice_samples=args.xtts, engine=args.engine, openai=args.openai, model_name=args.model, speaker=args.speaker, bitrate=args.bitrate) + if __name__ == '__main__': main() diff --git a/epubclassy.py b/epubclassy.py deleted file mode 100644 index e69de29..0000000 diff --git a/requirements.txt b/requirements.txt index a501219..3477d0c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,9 +2,15 @@ beautifulsoup4 ebooklib fuzzywuzzy newspaper3k +noisereduce openai +openai-whisper +pedalboard pydub pysbd python-Levenshtein +requests +torch +torchaudio TTS -openai-whisper +tqdm diff --git a/sample-onyx-openai.m4b b/sample-onyx-openai.m4b new file mode 100644 index 0000000000000000000000000000000000000000..1f64ae81a567d8da918e6d709ac9e20b6798019c GIT binary patch literal 208350 zcmV)oK%Bn-0010jba`-1G(jK$00IC_G(jL~b8l^Fb8j*L000PPa%E)z10UpVWMOmw z22f#gbRaPR000bSZewHs0098p08C+aV>U1@GcGYOFaQEDfDQocpNu~t`M&Dk<@%zo 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I recognize +this is not very user-friendly, but I wanted to share in +case folks thought it was useful. If there are a few more +people than myself that find this is useful I will keep +working on turning it into something that could be used by +someone without dev experience. diff --git a/setup.py b/setup.py index 465cbae..c39ecf0 100644 --- a/setup.py +++ b/setup.py @@ -5,12 +5,12 @@ setup( name='epub2tts', - description='Tool to read an epub to mp3 using TTS', - author='Christopher Aedo', + description='Tool to read an epub to audiobook using AI TTS', + author='Christopher Aedo linkedin.com/in/aedo', author_email='doc@aedo.net', url='https://github.com/aedocw/epub2tts', license='Apache License, Version 2.0', - version='1.5.7', + version='2.0.0', packages=find_packages(), install_requires=requirements, py_modules=['epub2tts'], From da20c4e95f74c669dbd897937f0dd1b407ebf681 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Sun, 3 Dec 2023 16:05:06 -0800 Subject: [PATCH 14/15] adjustment to readme --- README.md | 16 ++++++++-------- sample-onyx-openai.m4b | Bin 208350 -> 410834 bytes sample-p307-coquiTTS.m4b | Bin 181778 -> 360158 bytes sample-p335-coquiTTS.m4b | Bin 178401 -> 348788 bytes sample.txt | 16 ++++++++++------ 5 files changed, 18 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index 630156c..5afb9cc 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,11 @@ -This script takes an epub (or text file) and reads it to an mp3 or an m4b audiobook file, using TTS by https://github.com/coqui-ai/TTS +This script takes an epub (or text file) and reads it to an m4b audiobook file, using TTS by https://github.com/coqui-ai/TTS or OpenAI. The audiofiles are created in discrete chunks then transcribed using whisper speech-to-text. The transcription is compared to the original text, and if they don't match well it tries again. Finally all silence longer than a second is removed from all audio segments, and the audio is cleaned up before being combined into an m4b audiobook file. I recognize this is not very user friendly, but I wanted to share in case folks thought it was useful. If there are a few more people than myself that find this is useful I will keep working on turning it into something that could be used by someone without dev experience. +**NOTE:** BIG UPDATE for XTTS! The Coqui team released v2 of their XTTS model and the quality is amazing! This latest release includes significant refactoring, and uses streaming inference for XTTS. Suggested usage is to include up to three wav file speaker samples, up to 30 seconds each. Check out the xtts-sample.m4a to get an idea of the quality you can expect. + +Example usage: `epub2tts my-book.epub --xtts shadow-1.wav,shadow-2.wav,shadow-3.wav --start 4 --end 20` + **NOTE:** Now with [OpenAI TTS](https://platform.openai.com/docs/guides/text-to-speech) support! It's not free, but the average cost for a few books I tested was around $7. If you use `--openai ` flag epub2tts will provide a cost estimate and prompt you to approve before continuing. **NOTE:** HUGE thanks to a recent PR from [wonka929](https://github.com/wonka929), epub2tts now recognizes when a CUDA GPU is available and will use it automatically. In a brief test I did, the speedup was incredible! @@ -13,17 +17,13 @@ Usage: TEXT: `epub2tts my-book.txt` - URL: `epub2tts --url https://www.example.com/page --name example-page` - -To use Coqui XTTS, add: `--xtts ` (GPU absolutely required, and even then it's slow but sounds amazing!) +To use Coqui XTTS, add: `--xtts ,,` (GPU required, slow but sounds amazing!) To use OpenAI TTS, add: `--openai ` (Use speaker option to specify voice other than onyx: `--speaker shimmer`) -To change speaker (ex p307 for a good male voice), add: `--speaker p307` - -To output in mp3 format instead of m4b, add: `--mp3` +To change speaker (ex p307 for a good male voice w/Coqui TTS), add: `--speaker p307` -To skip reading any links, add: `--skip-links` +To skip reading any links, add: `--skiplinks` Using `--scan` will list excerpts of each chapter, then exit. 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I recognize -this is not very user-friendly, but I wanted to share in -case folks thought it was useful. If there are a few more -people than myself that find this is useful I will keep -working on turning it into something that could be used by +This script takes an epub (or text file) and reads it to an m4b audiobook file, +using TTS by Coqui or OpenAI. The audiofiles are created in discrete chunks then +transcribed using whisper speech-to-text. The transcription is compared to the +original text, and if they don't match well it tries again. Finally all silence +longer than a second is removed from all audio segments, and the audio is cleaned +up before being combined into an m4b audiobook file. + +I recognize this is not very user friendly, but I wanted to share in case folks +thought it was useful. If there are a few more people than myself that find this +is useful I will keep working on turning it into something that could be used by someone without dev experience. From 08106b4b99ad535c36e089d181ae1e70b5055d61 Mon Sep 17 00:00:00 2001 From: Christopher Aedo Date: Sun, 3 Dec 2023 16:58:13 -0800 Subject: [PATCH 15/15] Minor tweaks, all working well now --- README.md | 4 ++-- epub2tts.py | 8 +++++--- sample-shadow-coquiXTTS.m4b | Bin 0 -> 401753 bytes 3 files changed, 7 insertions(+), 5 deletions(-) create mode 100644 sample-shadow-coquiXTTS.m4b diff --git a/README.md b/README.md index 5afb9cc..a37aa0f 100644 --- a/README.md +++ b/README.md @@ -2,9 +2,9 @@ This script takes an epub (or text file) and reads it to an m4b audiobook file, I recognize this is not very user friendly, but I wanted to share in case folks thought it was useful. If there are a few more people than myself that find this is useful I will keep working on turning it into something that could be used by someone without dev experience. -**NOTE:** BIG UPDATE for XTTS! The Coqui team released v2 of their XTTS model and the quality is amazing! This latest release includes significant refactoring, and uses streaming inference for XTTS. Suggested usage is to include up to three wav file speaker samples, up to 30 seconds each. Check out the xtts-sample.m4a to get an idea of the quality you can expect. +**NOTE: BIG UPDATE for XTTS!** The Coqui team released v2 of their XTTS model and the quality is amazing! This latest release includes significant refactoring, and uses streaming inference for XTTS. Suggested usage is to include up to three wav file speaker samples, up to 30 seconds each. Check out the XTTS sample to get an idea of the quality you can expect. -Example usage: `epub2tts my-book.epub --xtts shadow-1.wav,shadow-2.wav,shadow-3.wav --start 4 --end 20` +Example usage: `epub2tts my-book.epub --start 4 --end 20 --xtts shadow-1.wav,shadow-2.wav,shadow-3.wav` **NOTE:** Now with [OpenAI TTS](https://platform.openai.com/docs/guides/text-to-speech) support! It's not free, but the average cost for a few books I tested was around $7. If you use `--openai ` flag epub2tts will provide a cost estimate and prompt you to approve before continuing. diff --git a/epub2tts.py b/epub2tts.py index 38a4666..aefa768 100644 --- a/epub2tts.py +++ b/epub2tts.py @@ -32,13 +32,14 @@ class EpubToAudiobook: - def __init__(self, source, start, end, skiplinks, engine, debug): + def __init__(self, source, start, end, skiplinks, engine, minratio, debug): self.source = source self.bookname = os.path.splitext(os.path.basename(source))[0] self.start = start - 1 self.end = end self.skiplinks = skiplinks self.engine = engine + self.minratio = minratio self.debug = debug self.output_filename = self.bookname + ".m4b" self.chapters = [] @@ -281,7 +282,7 @@ def read_book(self, voice_samples, engine, openai, model_name, speaker, bitrate) else: self.tts.tts_to_file(text = sentence_groups[x], file_path = tempwav) ratio = self.compare(sentence_groups[x], tempwav) - if ratio < 88: + if ratio < self.minratio: raise Exception("Spoken text did not sound right - " +str(ratio)) break except Exception as e: @@ -349,6 +350,7 @@ def main(): parser.add_argument("--scan", action='store_true', help='Scan the epub to show beginning of chapters, then exit') parser.add_argument('--start', type=int, nargs='?', const=1, default=1, help='Chapter/part to start from') parser.add_argument('--end', type=int, nargs='?', const=999, default=999, help='Chapter/part to end with') + parser.add_argument('--minratio', type=int, nargs='?', const=88, default=88, help='Minimum match ratio between text and transcript') parser.add_argument('--skiplinks', action='store_true', help='Skip reading any HTML links') parser.add_argument('--bitrate', type=str, nargs='?', const="69k", default="69k", help="Specify bitrate for output file") parser.add_argument('--debug', action='store_true', help='Enable debug output') @@ -359,7 +361,7 @@ def main(): args.engine = "openai" if args.xtts != "zzz": args.engine = "xtts" - mybook = EpubToAudiobook(source=args.sourcefile, start=args.start, end=args.end, skiplinks=args.skiplinks, engine=args.engine, debug=args.debug) + mybook = EpubToAudiobook(source=args.sourcefile, start=args.start, end=args.end, skiplinks=args.skiplinks, engine=args.engine, minratio=args.minratio, debug=args.debug) if mybook.sourcetype == 'epub': mybook.get_chapters_epub() else: diff --git a/sample-shadow-coquiXTTS.m4b b/sample-shadow-coquiXTTS.m4b new file mode 100644 index 0000000000000000000000000000000000000000..f314bb8eec3f9aa59956327c23f640dd61e15d45 GIT binary patch literal 401753 zcmV))K#IQr0010jba`-1G(jK$00IC_G(jL~b8l^Fb8j*L000PPa%E)z1_|PAWMOmw z22f#gbRaPR000bSZewHs0098r1OQB7c4IX-E-^DSE-^4L00IcFUMP%YK$3z000000 z2l@hYr4xjrZI({%D4sU)AYq7bPF_Qwa>-L_PjSyl_72ETrEyYNsKhh-G8(*r7^o*k zi6)qZd|3>JAccruNwLLH1cA?33oY|}3kYGJ+P4R+cBg7~r)qXbtbN1s8qu(f#EBXs z3u1VJMi$0krYDKwm~1)QcxT)`VyxHyQ|`XY`=9jxkL&raF9)9SbMfulw{ES-gaT~a zc{%v<;!mCRem7%pCmyW0yDXv*0HZ9j^7(wdQ^aLFKtcklj6?t^fJ7h{f0wFoi=f1! 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