print("starting...") import os import shutil import subprocess import re from pydub import AudioSegment import tempfile from pydub import AudioSegment import os import nltk from nltk.tokenize import sent_tokenize import sys from tqdm import tqdm import gradio as gr from gradio import Progress import urllib.request import zipfile nltk.download('punkt_tab') #device = torch.device("cuda" if torch.cuda.is_available() else "cpu") #print(f"Device selected is: {device}") #nltk.download('punkt') # Make sure to download the necessary models import os import wave import time from piper import PiperVoice def load_piper_tts(folder_name): model_file = os.path.join(folder_name, f"{folder_name}.onnx") config_file = os.path.join(folder_name, f"{folder_name}.json") # Automatically rename the config file if it's named incorrectly onnx_config_file = os.path.join(folder_name, f"{folder_name}.onnx.json") if os.path.exists(onnx_config_file) and not os.path.exists(config_file): os.rename(onnx_config_file, config_file) print(f"Renamed {onnx_config_file} to {config_file}") if not os.path.exists(model_file) or not os.path.exists(config_file): print(f"Model file exists: {os.path.exists(model_file)}") print(f"Config file exists: {os.path.exists(config_file)}") print(f"Contents of {folder_name}:") for item in os.listdir(folder_name): print(item) raise FileNotFoundError(f"Model or config file not found in {folder_name}.") global voice voice = PiperVoice.load(model_file, config_path=config_file, use_cuda=False) print("Model loaded successfully.") def piper_to_tts(text_to_generate, output_audio_name): if 'voice' not in globals(): raise RuntimeError("Piper TTS model is not loaded. Please load it using load_piper_tts first.") start_time = time.time() with wave.open(output_audio_name, 'wb') as wav_file: wav_file.setnchannels(1) # Assuming mono channel wav_file.setsampwidth(2) # Assuming 16-bit samples wav_file.setframerate(voice.config.sample_rate) voice.synthesize(text_to_generate, wav_file) end_time = time.time() print(f"Audio generated and saved to {output_audio_name} in {end_time - start_time:.2f} seconds") def download_and_extract_zip(url, extract_to='.'): try: # Ensure the directory exists os.makedirs(extract_to, exist_ok=True) zip_path = os.path.join(extract_to, 'model.zip') # Download with progress bar with tqdm(unit='B', unit_scale=True, miniters=1, desc="Downloading Model") as t: def reporthook(blocknum, blocksize, totalsize): t.total = totalsize t.update(blocknum * blocksize - t.n) urllib.request.urlretrieve(url, zip_path, reporthook=reporthook) print(f"Downloaded zip file to {zip_path}") # Unzipping with progress bar with zipfile.ZipFile(zip_path, 'r') as zip_ref: files = zip_ref.namelist() with tqdm(total=len(files), unit="file", desc="Extracting Files") as t: for file in files: if not file.endswith('/'): # Skip directories # Extract the file to the temporary directory extracted_path = zip_ref.extract(file, extract_to) # Move the file to the base directory base_file_path = os.path.join(extract_to, os.path.basename(file)) os.rename(extracted_path, base_file_path) t.update(1) # Cleanup: Remove the ZIP file and any empty folders os.remove(zip_path) for root, dirs, files in os.walk(extract_to, topdown=False): for name in dirs: os.rmdir(os.path.join(root, name)) print(f"Extracted files to {extract_to}") # Check if all required files are present required_files = ['model.pth', 'config.json', 'vocab.json_'] missing_files = [file for file in required_files if not os.path.exists(os.path.join(extract_to, file))] if not missing_files: print("All required files (model.pth, config.json, vocab.json_) found.") else: print(f"Missing files: {', '.join(missing_files)}") except Exception as e: print(f"Failed to download or extract zip file: {e}") def is_folder_empty(folder_path): if os.path.exists(folder_path) and os.path.isdir(folder_path): # List directory contents if not os.listdir(folder_path): return True # The folder is empty else: return False # The folder is not empty else: print(f"The path {folder_path} is not a valid folder.") return None # The path is not a valid folder def remove_folder_with_contents(folder_path): try: shutil.rmtree(folder_path) print(f"Successfully removed {folder_path} and all of its contents.") except Exception as e: print(f"Error removing {folder_path}: {e}") def wipe_folder(folder_path): # Check if the folder exists if not os.path.exists(folder_path): print(f"The folder {folder_path} does not exist.") return # Iterate over all the items in the given folder for item in os.listdir(folder_path): item_path = os.path.join(folder_path, item) # If it's a file, remove it and print a message if os.path.isfile(item_path): os.remove(item_path) print(f"Removed file: {item_path}") # If it's a directory, remove it recursively and print a message elif os.path.isdir(item_path): shutil.rmtree(item_path) print(f"Removed directory and its contents: {item_path}") print(f"All contents wiped from {folder_path}.") # Example usage # folder_to_wipe = 'path_to_your_folder' # wipe_folder(folder_to_wipe) def create_m4b_from_chapters(input_dir, ebook_file, output_dir): # Function to sort chapters based on their numeric order def sort_key(chapter_file): numbers = re.findall(r'\d+', chapter_file) return int(numbers[0]) if numbers else 0 # Extract metadata and cover image from the eBook file def extract_metadata_and_cover(ebook_path): try: cover_path = ebook_path.rsplit('.', 1)[0] + '.jpg' subprocess.run(['ebook-meta', ebook_path, '--get-cover', cover_path], check=True) if os.path.exists(cover_path): return cover_path except Exception as e: print(f"Error extracting eBook metadata or cover: {e}") return None # Combine WAV files into a single file def combine_wav_files(chapter_files, output_path): # Initialize an empty audio segment combined_audio = AudioSegment.empty() # Sequentially append each file to the combined_audio for chapter_file in chapter_files: audio_segment = AudioSegment.from_wav(chapter_file) combined_audio += audio_segment # Export the combined audio to the output file path combined_audio.export(output_path, format='wav') print(f"Combined audio saved to {output_path}") # Function to generate metadata for M4B chapters def generate_ffmpeg_metadata(chapter_files, metadata_file): with open(metadata_file, 'w') as file: file.write(';FFMETADATA1\n') start_time = 0 for index, chapter_file in enumerate(chapter_files): duration_ms = len(AudioSegment.from_wav(chapter_file)) file.write(f'[CHAPTER]\nTIMEBASE=1/1000\nSTART={start_time}\n') file.write(f'END={start_time + duration_ms}\ntitle=Chapter {index + 1}\n') start_time += duration_ms # Generate the final M4B file using ffmpeg def create_m4b(combined_wav, metadata_file, cover_image, output_m4b): # Ensure the output directory exists os.makedirs(os.path.dirname(output_m4b), exist_ok=True) ffmpeg_cmd = ['ffmpeg', '-i', combined_wav, '-i', metadata_file] if cover_image: ffmpeg_cmd += ['-i', cover_image, '-map', '0:a', '-map', '2:v'] else: ffmpeg_cmd += ['-map', '0:a'] ffmpeg_cmd += ['-map_metadata', '1', '-c:a', 'aac', '-b:a', '192k'] if cover_image: ffmpeg_cmd += ['-c:v', 'png', '-disposition:v', 'attached_pic'] ffmpeg_cmd += [output_m4b] subprocess.run(ffmpeg_cmd, check=True) # Main logic chapter_files = sorted([os.path.join(input_dir, f) for f in os.listdir(input_dir) if f.endswith('.wav')], key=sort_key) temp_dir = tempfile.gettempdir() temp_combined_wav = os.path.join(temp_dir, 'combined.wav') metadata_file = os.path.join(temp_dir, 'metadata.txt') cover_image = extract_metadata_and_cover(ebook_file) output_m4b = os.path.join(output_dir, os.path.splitext(os.path.basename(ebook_file))[0] + '.m4b') combine_wav_files(chapter_files, temp_combined_wav) generate_ffmpeg_metadata(chapter_files, metadata_file) create_m4b(temp_combined_wav, metadata_file, cover_image, output_m4b) # Cleanup if os.path.exists(temp_combined_wav): os.remove(temp_combined_wav) if os.path.exists(metadata_file): os.remove(metadata_file) if cover_image and os.path.exists(cover_image): os.remove(cover_image) # Example usage # create_m4b_from_chapters('path_to_chapter_wavs', 'path_to_ebook_file', 'path_to_output_dir') #this code right here isnt the book grabbing thing but its before to refrence in ordero to create the sepecial chapter labeled book thing with calibre idk some systems cant seem to get it so just in case but the next bit of code after this is the book grabbing code with booknlp import os import subprocess import ebooklib from ebooklib import epub from bs4 import BeautifulSoup import re import csv import nltk # Only run the main script if Value is True def create_chapter_labeled_book(ebook_file_path): # Function to ensure the existence of a directory def ensure_directory(directory_path): if not os.path.exists(directory_path): os.makedirs(directory_path) print(f"Created directory: {directory_path}") ensure_directory(os.path.join(".", 'Working_files', 'Book')) def convert_to_epub(input_path, output_path): # Convert the ebook to EPUB format using Calibre's ebook-convert try: subprocess.run(['ebook-convert', input_path, output_path], check=True) except subprocess.CalledProcessError as e: print(f"An error occurred while converting the eBook: {e}") return False return True def save_chapters_as_text(epub_path): # Create the directory if it doesn't exist directory = os.path.join(".", "Working_files", "temp_ebook") ensure_directory(directory) # Open the EPUB file book = epub.read_epub(epub_path) previous_chapter_text = '' previous_filename = '' chapter_counter = 0 # Iterate through the items in the EPUB file for item in book.get_items(): if item.get_type() == ebooklib.ITEM_DOCUMENT: # Use BeautifulSoup to parse HTML content soup = BeautifulSoup(item.get_content(), 'html.parser') text = soup.get_text() # Check if the text is not empty if text.strip(): if len(text) < 2300 and previous_filename: # Append text to the previous chapter if it's short with open(previous_filename, 'a', encoding='utf-8') as file: file.write('\n' + text) else: # Create a new chapter file and increment the counter previous_filename = os.path.join(directory, f"chapter_{chapter_counter}.txt") chapter_counter += 1 with open(previous_filename, 'w', encoding='utf-8') as file: file.write(text) print(f"Saved chapter: {previous_filename}") # Example usage input_ebook = ebook_file_path # Replace with your eBook file path output_epub = os.path.join(".", "Working_files", "temp.epub") if os.path.exists(output_epub): os.remove(output_epub) print(f"File {output_epub} has been removed.") else: print(f"The file {output_epub} does not exist.") if convert_to_epub(input_ebook, output_epub): save_chapters_as_text(output_epub) # Download the necessary NLTK data (if not already present) #nltk.download('punkt') def process_chapter_files(folder_path, output_csv): with open(output_csv, 'w', newline='', encoding='utf-8') as csvfile: writer = csv.writer(csvfile) # Write the header row writer.writerow(['Text', 'Start Location', 'End Location', 'Is Quote', 'Speaker', 'Chapter']) # Process each chapter file chapter_files = sorted(os.listdir(folder_path), key=lambda x: int(x.split('_')[1].split('.')[0])) for filename in chapter_files: if filename.startswith('chapter_') and filename.endswith('.txt'): chapter_number = int(filename.split('_')[1].split('.')[0]) file_path = os.path.join(folder_path, filename) try: with open(file_path, 'r', encoding='utf-8') as file: text = file.read() # Insert "NEWCHAPTERABC" at the beginning of each chapter's text if text: text = "NEWCHAPTERABC" + text sentences = nltk.tokenize.sent_tokenize(text) for sentence in sentences: start_location = text.find(sentence) end_location = start_location + len(sentence) writer.writerow([sentence, start_location, end_location, 'True', 'Narrator', chapter_number]) except Exception as e: print(f"Error processing file {filename}: {e}") # Example usage folder_path = os.path.join(".", "Working_files", "temp_ebook") output_csv = os.path.join(".", "Working_files", "Book", "Other_book.csv") process_chapter_files(folder_path, output_csv) def sort_key(filename): """Extract chapter number for sorting.""" match = re.search(r'chapter_(\d+)\.txt', filename) return int(match.group(1)) if match else 0 def combine_chapters(input_folder, output_file): # Create the output folder if it doesn't exist os.makedirs(os.path.dirname(output_file), exist_ok=True) # List all txt files and sort them by chapter number files = [f for f in os.listdir(input_folder) if f.endswith('.txt')] sorted_files = sorted(files, key=sort_key) with open(output_file, 'w', encoding='utf-8') as outfile: # Specify UTF-8 encoding here for i, filename in enumerate(sorted_files): with open(os.path.join(input_folder, filename), 'r', encoding='utf-8') as infile: # And here outfile.write(infile.read()) # Add the marker unless it's the last file if i < len(sorted_files) - 1: outfile.write("\nNEWCHAPTERABC\n") # Paths input_folder = os.path.join(".", 'Working_files', 'temp_ebook') output_file = os.path.join(".", 'Working_files', 'Book', 'Chapter_Book.txt') # Combine the chapters combine_chapters(input_folder, output_file) ensure_directory(os.path.join(".", "Working_files", "Book")) #create_chapter_labeled_book() import os import subprocess import sys # Check if Calibre's ebook-convert tool is installed def calibre_installed(): try: subprocess.run(['ebook-convert', '--version'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) return True except FileNotFoundError: print("Calibre is not installed. Please install Calibre for this functionality.") return False import os from nltk.tokenize import sent_tokenize from pydub import AudioSegment # Assuming split_long_sentence and wipe_folder are defined elsewhere in your code default_target_voice_path = "default_voice.wav" # Ensure this is a valid path default_language_code = "en" def combine_wav_files(input_directory, output_directory, file_name): # Ensure that the output directory exists, create it if necessary os.makedirs(output_directory, exist_ok=True) # Specify the output file path output_file_path = os.path.join(output_directory, file_name) # Initialize an empty audio segment combined_audio = AudioSegment.empty() # Get a list of all .wav files in the specified input directory and sort them input_file_paths = sorted( [os.path.join(input_directory, f) for f in os.listdir(input_directory) if f.endswith(".wav")], key=lambda f: int(''.join(filter(str.isdigit, f))) ) # Sequentially append each file to the combined_audio for input_file_path in input_file_paths: audio_segment = AudioSegment.from_wav(input_file_path) combined_audio += audio_segment # Export the combined audio to the output file path combined_audio.export(output_file_path, format='wav') print(f"Combined audio saved to {output_file_path}") # Function to split long strings into parts def split_long_sentence(sentence, max_length=249, max_pauses=10): """ Splits a sentence into parts based on length or number of pauses without recursion. :param sentence: The sentence to split. :param max_length: Maximum allowed length of a sentence. :param max_pauses: Maximum allowed number of pauses in a sentence. :return: A list of sentence parts that meet the criteria. """ parts = [] while len(sentence) > max_length or sentence.count(',') + sentence.count(';') + sentence.count('.') > max_pauses: possible_splits = [i for i, char in enumerate(sentence) if char in ',;.' and i < max_length] if possible_splits: # Find the best place to split the sentence, preferring the last possible split to keep parts longer split_at = possible_splits[-1] + 1 else: # If no punctuation to split on within max_length, split at max_length split_at = max_length # Split the sentence and add the first part to the list parts.append(sentence[:split_at].strip()) sentence = sentence[split_at:].strip() # Add the remaining part of the sentence parts.append(sentence) return parts #convert chapters into audio with piper-tts def convert_chapters_to_audio_standard_model(chapters_dir, output_audio_dir, target_voice_path=None, language=None, piper_model_name=None): load_piper_tts(piper_model_name) # Load the Piper TTS model with the given name if not os.path.exists(output_audio_dir): os.makedirs(output_audio_dir) for chapter_file in sorted(os.listdir(chapters_dir)): if chapter_file.endswith('.txt'): match = re.search(r"chapter_(\d+).txt", chapter_file) if match: chapter_num = int(match.group(1)) else: print(f"Skipping file {chapter_file} as it does not match the expected format.") continue chapter_path = os.path.join(chapters_dir, chapter_file) output_file_name = f"audio_chapter_{chapter_num}.wav" output_file_path = os.path.join(output_audio_dir, output_file_name) temp_audio_directory = os.path.join(".", "Working_files", "temp") os.makedirs(temp_audio_directory, exist_ok=True) temp_count = 0 with open(chapter_path, 'r', encoding='utf-8') as file: chapter_text = file.read() sentences = sent_tokenize(chapter_text, language='italian' if language == 'it' else 'english') for sentence in tqdm(sentences, desc=f"Chapter {chapter_num}"): fragments = split_long_sentence(sentence, max_length=249 if language == "en" else 213, max_pauses=10) for fragment in fragments: if fragment != "": print(f"Generating fragment: {fragment}...") fragment_file_path = os.path.join(temp_audio_directory, f"{temp_count}.wav") piper_to_tts(fragment, fragment_file_path) temp_count += 1 combine_wav_files(temp_audio_directory, output_audio_dir, output_file_name) wipe_folder(temp_audio_directory) print(f"Converted chapter {chapter_num} to audio.") # Define the functions to be used in the Gradio interface def convert_ebook_to_audio(ebook_file, target_voice_file, voice_key, progress=gr.Progress()): ebook_file_path = ebook_file.name target_voice = target_voice_file.name if target_voice_file else None working_files = os.path.join(".", "Working_files", "temp_ebook") full_folder_working_files = os.path.join(".", "Working_files") chapters_directory = os.path.join(".", "Working_files", "temp_ebook") output_audio_directory = os.path.join(".", 'Chapter_wav_files') remove_folder_with_contents(full_folder_working_files) remove_folder_with_contents(output_audio_directory) try: progress(0, desc="Starting conversion") except Exception as e: print(f"Error updating progress: {e}") if not calibre_installed(): return "Calibre is not installed." try: progress(0.1, desc="Creating chapter-labeled book") except Exception as e: print(f"Error updating progress: {e}") create_chapter_labeled_book(ebook_file_path) audiobook_output_path = os.path.join(".", "Audiobooks") try: progress(0.3, desc="Converting chapters to audio") except Exception as e: print(f"Error updating progress: {e}") convert_chapters_to_audio_standard_model(chapters_directory, output_audio_directory, target_voice, piper_model_name=voice_key) try: progress(0.9, desc="Creating M4B from chapters") except Exception as e: print(f"Error updating progress: {e}") create_m4b_from_chapters(output_audio_directory, ebook_file_path, audiobook_output_path) # Get the name of the created M4B file m4b_filename = os.path.splitext(os.path.basename(ebook_file_path))[0] + '.m4b' m4b_filepath = os.path.join(audiobook_output_path, m4b_filename) try: progress(1.0, desc="Conversion complete") except Exception as e: print(f"Error updating progress: {e}") print(f"Audiobook created at {m4b_filepath}") return f"Audiobook created at {m4b_filepath}", m4b_filepath def list_audiobook_files(audiobook_folder): # List all files in the audiobook folder files = [] for filename in os.listdir(audiobook_folder): if filename.endswith('.m4b'): # Adjust the file extension as needed files.append(os.path.join(audiobook_folder, filename)) return files def download_audiobooks(): audiobook_output_path = os.path.join(".", "Audiobooks") return list_audiobook_files(audiobook_output_path) import gradio as gr import json import requests import os from tqdm import tqdm # Load the JSON data with open("voices.json", "r") as f: voices_data = json.load(f) # Base URL for downloading model files BASE_URL = "https://huggingface.co/rhasspy/piper-voices/resolve/main/" # Function to download selected voice files if missing def download_voice(voice_key): voice_info = voices_data[voice_key] files = voice_info["files"] download_dir = os.path.join(os.getcwd(), voice_key) os.makedirs(download_dir, exist_ok=True) # Create the folder if it doesn't exist downloaded_files = 0 for file_path, file_info in files.items(): local_file_path = os.path.join(download_dir, os.path.basename(file_path)) # Check if the file already exists if os.path.exists(local_file_path): print(f"File '{os.path.basename(file_path)}' already exists. Skipping download.") else: # Download the file with tqdm progress bar in the terminal url = BASE_URL + file_path response = requests.get(url, stream=True) total_size = int(response.headers.get('content-length', 0)) with open(local_file_path, 'wb') as file, tqdm( desc=f"Downloading {os.path.basename(file_path)}", total=total_size, unit='B', unit_scale=True, unit_divisor=1024, ) as bar: for data in response.iter_content(1024): file.write(data) bar.update(len(data)) downloaded_files += 1 if downloaded_files == 0: return f"All files for {voice_key} already exist. No files were downloaded." else: return f"Downloaded {downloaded_files} files for {voice_key}." # Define a new function to chain the download and conversion processes def download_and_convert(ebook_file, target_voice_file, voice_key, progress=gr.Progress()): # First, download the voice files download_message = download_voice(voice_key) # Then, proceed with the conversion conversion_result, m4b_filepath = convert_ebook_to_audio(ebook_file, target_voice_file, voice_key, progress) # Combine the download message with the conversion result return f"{download_message}\n{conversion_result}", m4b_filepath # Function to get details of the selected voice def get_voice_details(voice_key): voice_info = voices_data[voice_key] details = f""" **Name:** {voice_info['name']} **Language:** {voice_info['language']['name_english']} ({voice_info['language']['code']}) **Country:** {voice_info['language']['country_english']} **Quality:** {voice_info['quality']} **Number of Speakers:** {voice_info.get('num_speakers', 'N/A')} """ return details # List of voice keys for dropdown voice_keys = list(voices_data.keys()) # Integrating with the existing Gradio UI theme = gr.themes.Soft( primary_hue="blue", secondary_hue="blue", neutral_hue="blue", text_size=gr.themes.sizes.text_md, ) with gr.Blocks(theme=theme) as demo: gr.Markdown( """ # Piper-TTS eBook to Audiobook Converter Transform your eBooks into audiobooks using Piper-TTS. This interface is based on [Ebook2audiobookPiperTTS](https://github.com/DrewThomasson/ebook2audiobookpiper-tts). """ ) with gr.Row(): with gr.Column(scale=3): ebook_file = gr.File(label="eBook File") target_voice_file = gr.File(label="Target Voice File (Optional)", visible=False) voice_selector = gr.Dropdown(label="Select Voice", choices=voice_keys) # Define voice_selector here voice_details = gr.Markdown() convert_btn = gr.Button("Convert to Audiobook", variant="primary") output = gr.Textbox(label="Conversion Status") audio_player = gr.Audio(label="Audiobook Player", type="filepath") download_btn = gr.Button("Download Audiobook Files") download_files = gr.File(label="Download Files", interactive=False) convert_btn.click( download_and_convert, inputs=[ebook_file, target_voice_file, voice_selector], # Now voice_selector is defined outputs=[output, audio_player] ) download_btn.click( download_audiobooks, outputs=[download_files] ) # Adding the Download Voices Section download_voice_btn = gr.Button("Download Voice Files", visible=False) voice_selector.change(get_voice_details, voice_selector, voice_details) download_voice_btn.click(download_voice, voice_selector, None) demo.launch(share=True)