├── .gitignore ├── LICENSE ├── README.md ├── screenshots ├── RSS.png └── SR.gif └── src ├── build-command.txt ├── favicon.ico ├── libread-tool.py ├── requirements.txt └── utils ├── Prettify.py ├── __init__.py ├── configGenerator.py ├── ffmpegWrapper.py ├── scrapper.py ├── tts.py └── twoSecondSilence.py /.gitignore: -------------------------------------------------------------------------------- 1 | src/Build/ 2 | src/Temp/ 3 | **/__pycache__/ 4 | **/.OPD/ 5 | *.ini 6 | *.html 7 | *.txt 8 | *.mp3 9 | *.vtt 10 | *.jpg 11 | *.code-workspace 12 | 13 | !src/build-command.txt 14 | !src/requirements.txt 15 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |
2 |

LibRead-Tool

3 | Converts online novels into audiobooks 4 |
5 |
6 |
7 | 8 | Introducing LibRead-tool – your go-to for turning online novels into awesome audio! Fetch your favourites and convert them into audiobooks. Say hello to hands-free storytelling! 9 | 10 |

11 | LibRead-Tool Main page 12 | Result 13 |

14 | 15 | ## 🌸 Features 16 | - 🔍 **Search** novels directly within LibRead-Tool 17 | - 📕 Convert novels into one audiobook or **Split it into parts** 18 | - 💾 Embeds **ID3 tags** into the MP3 file 19 | - 🌐 **Scrapes LibRead** to fetch novels 20 | 21 | ## 🔧Installation 22 | #### Using Portable Builds 23 | - This is the recommended method if Python is not installed on your system. 24 | - Download the executable binary files from the release page for your system 25 | - To execute the program, use the following method 26 | - On Windows, double-click on the application to run it. 27 | - On Ubuntu-based distros, open a terminal in the directory where the executable file is saved and execute the following command `./LibRead-Tool_Zorin-OS`.
If you are getting a permission denied error, then you have to execute the command
`chmod +x LibRead-Tool_Zorin-OS` to make it executable. 28 |


29 |

Running from source

30 |
    31 |
  • You need Python, preferably version >= 3.9, to run the script files.
    • 32 |
  • You can obtain the source code files either from the release page or by cloning this repo using git,
    • 33 |
  • Downloading pip to resolve dependecies
      34 |
    • Pip is required to download the packages required for the execution of the script. If your system doesn’t have pip installed, then you can use the following command to install
        35 |
      • On Debian/Ubuntu-Based Distros 36 | sudo apt-get install python3-pip
        • 37 |
      • On Red Hat/Fedora-Based Distros 38 | sudo dnf install python3-pip
        • 39 |
      40 |
      • 41 |
    42 |
    • 43 |
  • Resolving dependencies using pip
      44 |
    • Open a terminal in the src directory and execute the following command to obtain the packages required for the script. 45 |
      pip install -r requirements.txt
      • 46 |
    47 |
    • 48 |
  • Executing the script
      49 |
    • To run the script, execute the following command in the terminal. 50 | python3 ./libread-tool.py 51 |
      • 52 |
    53 |
    • 54 |
55 |
56 |

Installing Optional Dependency

57 |
    58 |
  • FFmpeg is required to merge different sub-parts into one. It is not essential to have it installed, but it increases stability during conversions. If FFmpeg is not found in the system’s path, then it will fetch all the chapters in a single part and convert them at the end.
    • 59 |
  • Use this guide to get it installed on your windows OS.
    • 60 |
  • Most Linux distros come pre-installed with a supported version of FFmpeg. But, if that's not the case, then use the following command to get it installed.
      61 |
    • On Debian/Ubuntu-based distros 62 | sudo apt install ffmpeg
      • 63 |
    • On Fedora-based distros 64 | sudo dnf install ffmpeg
      • 65 |
    66 |
    • 67 |
68 |
69 |

⚙️ Configuring

70 |

Upon initial execution, the program will create a default configuration file inside the same directory named libread-config.ini. You can open that in any text editor, and you might change some options.

71 |


72 |

73 | 74 | 75 |
76 | Packages Used 77 |
78 | beautifulsoup4 79 |
80 | requests 81 |
82 | music-tag 83 |
84 | pynput 85 |
86 | PyWinCtl 87 |
88 | edge-tts 89 |
90 | -------------------------------------------------------------------------------- /screenshots/RSS.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Spectre-hidN/LibRead-Tool/513a1d3cf9baa94841f13fd367a410b8024e9d65/screenshots/RSS.png -------------------------------------------------------------------------------- /screenshots/SR.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Spectre-hidN/LibRead-Tool/513a1d3cf9baa94841f13fd367a410b8024e9d65/screenshots/SR.gif -------------------------------------------------------------------------------- /src/build-command.txt: -------------------------------------------------------------------------------- 1 | pyinstaller --onefile --workpath "Temp/" --distpath "Build/" ./libread-tool.py --specpath "Temp/" -n "LibRead-Tool" -i "$pwd/favicon.ico" -------------------------------------------------------------------------------- /src/favicon.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Spectre-hidN/LibRead-Tool/513a1d3cf9baa94841f13fd367a410b8024e9d65/src/favicon.ico -------------------------------------------------------------------------------- /src/libread-tool.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import os 3 | import shutil 4 | import time 5 | import asyncio 6 | import configparser 7 | from pynput import keyboard 8 | from pywinctl import getActiveWindow 9 | from utils.scrapper import checkConnection, search, getMetadata, getArticle 10 | from utils.Prettify import clearScreen, Prettify, clearLine 11 | from utils.tts import createTTSFromFile, createTTSFromText 12 | from utils.configGenerator import create_default_config 13 | from utils.ffmpegWrapper import performSanityCheck, mergeChunks 14 | 15 | CONFIG_FILE = "libread-config.ini" 16 | 17 | # Global varialbes. Values taken from the config file 18 | DOMAIN_NAME = COVER_IMAGE_NAME = OUTPUT_FILE_NAME = REPLACEMENT_CHARACTER = "" 19 | FORCE_USE_M1 = False 20 | PART_REPLACEMENT = True 21 | 22 | # global function declaration for simplicity 23 | printInf = Prettify.printInf 24 | printWar = Prettify.printWar 25 | printErr = Prettify.printErr 26 | printSuc = Prettify.printSuc 27 | printFeaturedText = Prettify.printFeaturedText 28 | progressBar = Prettify().progressBar 29 | 30 | def _readConfig(): 31 | if(os.path.isfile(CONFIG_FILE)): 32 | try: 33 | config = configparser.ConfigParser() 34 | config.read(CONFIG_FILE) 35 | global DOMAIN_NAME, COVER_IMAGE_NAME, OUTPUT_FILE_NAME, REPLACEMENT_CHARACTER, FORCE_USE_M1, PART_REPLACEMENT 36 | DOMAIN_NAME = config.get("DOMAIN", "domainName") 37 | COVER_IMAGE_NAME = config.get("NOMENCLATURES", "coverImageNomenclature") 38 | OUTPUT_FILE_NAME = config.get("NOMENCLATURES", "outputNomenclature") 39 | REPLACEMENT_CHARACTER = config.get("NOMENCLATURES", "whitespaceReplacementCharacter") 40 | FORCE_USE_M1 = config.getboolean("TTS_CONFIG", "forceGrabFirstThenConvert") 41 | PART_REPLACEMENT = config.getboolean("TTS_CONFIG", "replacePartContents") 42 | except: 43 | printWar("Corrupted config file detected! Re-generating a new one...") 44 | time.sleep(2) 45 | create_default_config(CONFIG_FILE) 46 | _readConfig() 47 | else: 48 | create_default_config(CONFIG_FILE) 49 | _readConfig() 50 | 51 | 52 | if __name__ == "__main__": 53 | if os.name == 'nt': 54 | os.system("title LibRead-Tool") 55 | else: 56 | os.system('echo -en "\033]0;LibRead-Tool\a"') 57 | 58 | clearScreen() 59 | 60 | if os.name == 'nt': 61 | os.system("echo \033[38;5;12m\033[0m\r") 62 | 63 | print("""\033[38;5;78m _ _ _ ______ _ _______ _ \033[0m 64 | \033[38;5;78m(_) (_)| | (_____ \ | | (_______) | | \033[0m 65 | \033[38;5;78m _ _ | |__ _____) ) _____ _____ __| | _____ _ ___ ___ | | \033[0m 66 | \033[38;5;78m| | | || _ \ | __ / | ___ |(____ | / _ |(_____)| | / _ \ / _ \ | | \033[0m 67 | | |_____ | || |_) )| | \ \ | ____|/ ___ |( (_| | | || |_| || |_| || | 68 | |_______)|_||____/ |_| |_||_____)\_____| \____| |_| \___/ \___/ \_) 69 | 70 | """) 71 | 72 | _readConfig() 73 | 74 | if(not PART_REPLACEMENT): 75 | printFeaturedText("Content replacement is disabled! The LibRead Tool will not overwrite the existing parts before converting.") 76 | 77 | print("Checking connection with libread...") 78 | time.sleep(2) 79 | if(checkConnection()): 80 | printSuc("Connection established with libread successfully!") 81 | else: 82 | printErr("Error occured while connecting to libread! Check your Internet connection or firewall settings.") 83 | sys.exit(100) 84 | 85 | canUseM2ForTTS = False 86 | if performSanityCheck(): 87 | canUseM2ForTTS = True 88 | 89 | if(FORCE_USE_M1 or not PART_REPLACEMENT): 90 | canUseM2ForTTS = False 91 | 92 | print("\n") 93 | query = input("Type to search something: ") 94 | results = search(query=query) 95 | selectedIndex = -1 96 | if(len(results) == 0): 97 | printWar(f"No results found for the query '{query}'. Try any other keywords!") 98 | input() 99 | sys.exit(404) 100 | elif(len(results) == 1): 101 | printSuc(f"1 hit found for the query '{query}'. Automatically selecting it...") 102 | selectedIndex = 1 103 | else: 104 | printSuc(f"Multiple hits found for the query '{query}'. Select the desired index...") 105 | i = 0 106 | print("\n\033[38;5;162mIndex\033[0m ---- \033[38;5;183mTitle\033[0m") 107 | for tag in results: 108 | print(f"\033[38;5;162m{i+1}\033[0m ---- \033[38;5;183m{tag['title']}\033[0m") if i < 9 else print(f"\033[38;5;162m{i+1}\033[0m ---- \033[38;5;183m{tag['title']}\033[0m") 109 | i+=1 110 | try: 111 | selectedIndex = int(input("Type the desired index from the above list: ")) 112 | except: 113 | printErr("Invalid integer value! Aborting...") 114 | sys.exit(200) 115 | if(selectedIndex > len(results) or selectedIndex < 0): 116 | printWar("Index doesn't exists! Automatically selecting the last index...") 117 | selectedIndex = len(results) - 1 118 | 119 | selectedIndex-=1 120 | novelLink = f"https://{DOMAIN_NAME}" + results[selectedIndex]['href'] 121 | print(f"\nSelected: {results[selectedIndex]['title']} || URL: {novelLink}") 122 | printInf(f"Getting metadata about {results[selectedIndex]['title']} from libread...") 123 | time.sleep(3) 124 | metadataResult = getMetadata(novelLink) 125 | totalChapters = len(metadataResult['chapters']) 126 | print(f"Total chapters found: \033[38;5;63m{len(metadataResult['chapters'])}\033[0m") 127 | print(f"Status: \033[38;5;51m{metadataResult['status']}\033[0m") 128 | print() 129 | startChapter = 1 130 | endChapter = totalChapters 131 | jump = 10 132 | try: 133 | startChapter = int(input("Mention the starting chapter [default = 1]: ")) 134 | if(startChapter > startChapter): 135 | printWar("Starting chapter number exceeded total chapter found!") 136 | printInf("Setting starting chapter to 1...") 137 | else: 138 | printInf(f"Setting starting chapter to {startChapter}...") 139 | except: 140 | printWar("Invalid input detected!") 141 | printInf("Setting starting chapter to 1...") 142 | 143 | try: 144 | endChapter = int(input(f"Mention the last chapter [default = {totalChapters}]: ")) 145 | if(endChapter < 1): 146 | printWar("Ending chapter number less than the first chapter!") 147 | printInf(f"Setting Ending chapter to {totalChapters}...") 148 | else: 149 | printInf(f"Setting Ending chapter to {endChapter}...") 150 | except: 151 | printWar("Invalid input detected!") 152 | printInf(f"Setting Ending chapter to {totalChapters}...") 153 | 154 | try: 155 | jump = int(input("Mention number of chapters in each part [default = 10]: ")) 156 | if(jump > 30): 157 | printWar("Too many chapters detected in single part! Expect abnormal behaviour.") 158 | except: 159 | pass 160 | isPause = False 161 | pauseInput = input("Do you want to pause after each part? (y/n): ") 162 | isPause = True if pauseInput == "y" else False 163 | 164 | if(isPause): 165 | printInf("Process will pause after each part! Press 'R' to resume.") 166 | 167 | isTTS = False 168 | ttsInput = input("Do you want to convert text to speech? (y/n): ") 169 | isTTS = True if ttsInput == "y" else False 170 | 171 | if(isTTS): 172 | printInf("Texts will be converted to speech.") 173 | 174 | #Create a directory for saving the files 175 | if(not os.path.isdir(results[selectedIndex]['title']) and not os.path.isdir("Articles")): 176 | try: 177 | os.mkdir(results[selectedIndex]['title']) 178 | except: 179 | os.mkdir("Articles") 180 | 181 | #save cover image 182 | imageName = COVER_IMAGE_NAME.replace("!TITLE!", results[selectedIndex]['title']) + '.jpg' 183 | if(REPLACEMENT_CHARACTER != ""): 184 | imageName = imageName.replace(" ", REPLACEMENT_CHARACTER) 185 | if(metadataResult["cover-image"]!=None): 186 | printInf("\nSaving cover image...") 187 | try: 188 | with open(f"{results[selectedIndex]['title']}/{imageName}", 'wb') as bf: 189 | for chunk in metadataResult['cover-image']: 190 | bf.write(chunk) 191 | bf.close() 192 | except: 193 | with open(f"Articles/{imageName}", 'wb') as bf: 194 | for chunk in metadataResult['cover-image']: 195 | bf.write(chunk) 196 | bf.close() 197 | time.sleep(1) 198 | printSuc(f"Cover image saved as {results[selectedIndex]['title']}/{imageName}") 199 | 200 | part = 1 201 | progress = 0 202 | printInf("Getting articles from libread...") 203 | 204 | for i in range(startChapter-2, endChapter, jump): 205 | mergedArticle = "" 206 | for j in range(i+1, i+jump+1): 207 | if(j>endChapter-1): 208 | break 209 | articleLink = f"https://{DOMAIN_NAME}" + metadataResult['chapters'][j]['href'] 210 | article = getArticle(articleLink) 211 | clearLine() 212 | progressBar(total_size=endChapter-startChapter, size_done=progress, fill_symbol="■", length=35, suffix="There") 213 | 214 | # use M2 for TTS 215 | if(isTTS and canUseM2ForTTS): 216 | progressBar(total_size=endChapter-startChapter, size_done=progress, fill_symbol="■", length=35, suffix="There \033[38;5;141m[CONVERTING]\033[0m {Chapter - {0}}".replace("{0}", str(j+1))) 217 | 218 | # Create the enviroment for the current cycle 219 | wd = results[selectedIndex]['title'] + "/.OPD" 220 | if not os.path.isdir(wd): os.mkdir(wd) 221 | 222 | try: 223 | asyncio.run(createTTSFromText(text=article, outputPath=(wd+f"/Chapter-{str(j+1)}.mp3"), coverImagePath=f"{results[selectedIndex]['title']}/{imageName}")) 224 | except Exception as E: 225 | printErr(f"Fatal Exception occured during conversion. Couldn't proceed further with TTS. {E}") 226 | isTTs = False 227 | 228 | mergedArticle += article + "\n\n" 229 | progress += 1 230 | endChapterName = i+jump+1 231 | if(i+jump+1 > endChapter): 232 | endChapterName = endChapter 233 | #results[selectedIndex]['title']} ~ Chapter-{i+2}-{endChapterName} 234 | actualOutputFileName = OUTPUT_FILE_NAME.replace("!TITLE!", results[selectedIndex]['title']).replace("!STARTCHAPTER!", str((i+2))).replace("!ENDCHAPTER!", str(endChapterName)) 235 | if(REPLACEMENT_CHARACTER != ""): 236 | actualOutputFileName = actualOutputFileName.replace(" ", REPLACEMENT_CHARACTER) 237 | if(i+1 < endChapter): 238 | try: 239 | if (not PART_REPLACEMENT and os.path.isfile(f"{results[selectedIndex]['title']}/{actualOutputFileName}.txt")): 240 | pass 241 | else: 242 | with open(f"{results[selectedIndex]['title']}/{actualOutputFileName}.txt", "w", encoding='utf-8') as f: 243 | f.write(mergedArticle) 244 | f.close() 245 | except: 246 | if(not PART_REPLACEMENT and os.path.isfile(f"Articles/{actualOutputFileName}.txt")): 247 | pass 248 | else: 249 | with open(f"Articles/{actualOutputFileName}.txt", "w", encoding='utf-8') as f: 250 | f.write(mergedArticle) 251 | f.close() 252 | 253 | # merge converted chunks and delete the opd folder 254 | if(isTTS and canUseM2ForTTS): 255 | clearLine() 256 | progressBar(total_size=endChapter-startChapter, size_done=progress, fill_symbol="■", length=35, suffix="There \033[38;5;87m[CONCATENATING]\033[0m ") 257 | mergeChunks(chunkFilesDir=results[selectedIndex]['title'] + "/.OPD", 258 | outputFilePrefix=f"{results[selectedIndex]['title']}/{actualOutputFileName}", 259 | coverImagePath=f"{results[selectedIndex]['title']}/{imageName}") 260 | shutil.rmtree(results[selectedIndex]['title'] + "/.OPD") 261 | 262 | if(isTTS and not canUseM2ForTTS): 263 | clearLine() 264 | progressBar(total_size=endChapter-startChapter, size_done=progress, fill_symbol="■", length=35, suffix="There \033[38;5;141m[CONVERTING]\033[0m {Chapter: {startChapter}-{EndChapter}}".replace("{startChapter}", str(i+2)).replace("{EndChapter}", str(endChapterName))) 265 | try: 266 | asyncio.run(createTTSFromFile(filepath=f"{results[selectedIndex]['title']}/{actualOutputFileName}.txt", outputFilePrefix=f"{results[selectedIndex]['title']}/{actualOutputFileName}", coverImagePath=f"{results[selectedIndex]['title']}/{imageName}")) 267 | except: 268 | try: 269 | asyncio.run(createTTSFromFile(filepath=f"Articles/{actualOutputFileName}.txt", outputFilePrefix=f"Articles/{actualOutputFileName}", coverImagePath=f"Articles/{imageName}")) 270 | except Exception as E: 271 | printErr("\nFatal error Occured while converting text to speech! Couldn't proceed further with TTS. {E}") 272 | 273 | # breaks on Windows and wayland 274 | if(isPause and progress != ((endChapter-startChapter))+1): 275 | clearLine() 276 | progressBar(total_size=endChapter-startChapter, size_done=progress, fill_symbol="■", length=35, suffix="There \033[38;5;226m[PAUSED]\033[0m ") 277 | def pause_process(): 278 | with keyboard.Events() as events: 279 | event = events.get(1e6) 280 | if("libread-tool" in (" " + getActiveWindow().title.lower() + " ") or "visual studio code" in getActiveWindow().title.lower()): 281 | if(event.key == keyboard.KeyCode.from_char('r')): 282 | return 283 | else: 284 | event = None 285 | pause_process() 286 | else: 287 | event = None 288 | pause_process() 289 | pause_process() 290 | 291 | clearLine() 292 | progressBar(total_size=endChapter-startChapter, size_done=progress, fill_symbol="■", length=35, suffix="There ") 293 | 294 | 295 | clearLine() 296 | print() 297 | printFeaturedText("Fetched all chapters successfully!", msgColorCode=105, blinkersColorCode=46) 298 | print(f"All chapters are stored inside the {results[selectedIndex]['title']} directory.") 299 | input() 300 | -------------------------------------------------------------------------------- /src/requirements.txt: -------------------------------------------------------------------------------- 1 | beautifulsoup4==4.11.2 2 | edge_tts==6.1.9 3 | hrequests==0.9.2 4 | music_tag==0.4.3 5 | pynput==1.7.6 6 | PyWinCtl==0.3 7 | Requests==2.32.3 8 | urllib3==1.26.14 9 | -------------------------------------------------------------------------------- /src/utils/Prettify.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import os 3 | import time 4 | 5 | def clearScreen(): 6 | """ 7 | Clears the terminal 8 | """ 9 | if os.name == 'nt': 10 | os.system("cls") 11 | else: 12 | os.system("clear") 13 | 14 | def clearLine(): 15 | """ 16 | Clears the current line 17 | """ 18 | length = os.get_terminal_size()[0] 19 | whiteSpace = " "*length 20 | print(whiteSpace, end="\r") 21 | 22 | class Prettify(): 23 | 24 | def __init__(self): 25 | """Return specified color escape c0des if flushCodes flag is False else flush it to the console.""" 26 | 27 | #For some unknown reason window's command prompt does not recognise any escape code unless it is registered/cache using system calls. The below line will make sure to recognise all escape codes. 28 | if os.name == 'nt': 29 | os.system('echo|set /p="\033[38;5;12m\033[0m"') 30 | 31 | try: 32 | if sys.argv[1] == 'dump_cols': 33 | self.flushCodes = True 34 | else: 35 | self.flushCodes = False 36 | except: 37 | self.flushCodes = False 38 | 39 | try: 40 | if sys.argv[1] == 'dump_bgs': 41 | self.OnlyBG = True 42 | else: 43 | self.OnlyBG = False 44 | except: 45 | self.OnlyBG = False 46 | 47 | def dump_colors(self, code=None, ForBG=False): 48 | for i in range(0, 256): 49 | color_code = str(i) 50 | if not self.OnlyBG: 51 | escape_code = u"\u001b[38;5;" + color_code + "m" 52 | else: 53 | escape_code = "\033[48;5;" + color_code + "m" 54 | if code != None: 55 | if str(code) == color_code: 56 | return escape_code 57 | elif code == None: 58 | if self.OnlyBG or self.flushCodes: 59 | sys.stdout.write(escape_code + color_code.ljust(4) + " ") 60 | 61 | def progressBar(self, total_size: int, size_done: int, prefix="On the way!", suffix="There", length=None, fill_symbol='█', ToBeFill_symbol=' ', static_color=[]): #type: ignore 62 | """ 63 | Simple Progress bar that changes colors upon progress! 64 | 65 | PARAMETERS --> length {DEFAULT: os.get_terminal_size()[0] - len(prefix) - len(suffix)- 11} 66 | prefix {DEFAULT: "On the way!"} 67 | suffix {DEFAULT: "There"} 68 | total_size {DATATYPE: int} [REQUIRED] 69 | size_done {DATATYPE: int} [REQUIRED] 70 | fill_symbol {DEFAULT: '█'} 71 | ToBeFill_symbol {DEFAULT: ' '} 72 | static_color {DEFAULT: []} (Index: [0 -> fill_symbol, 1 -> ToBeFill_symbol]) 73 | 74 | NOTE --> endline (\n) should be provided after the job is completed to bring the cursor to a new line. 75 | When Overriding the 'fill_symbol' or 'ToBeFill_symbol' with characters of different length, then specifying the length manually might required. 76 | """ 77 | decimals = 1 78 | if length == None: 79 | length = os.get_terminal_size()[0] - len(prefix) - len(suffix) - 11 80 | if len(fill_symbol) > 1: 81 | length = length // len(fill_symbol) 82 | total = total_size 83 | ToBeFill_length = len(fill_symbol) // len(ToBeFill_symbol) 84 | 85 | try: 86 | ToBeFill_symbol = self.dump_colors(code=static_color[1]) + ToBeFill_symbol + self.dump_colors(code=7) 87 | except (IndexError, TypeError): 88 | pass 89 | 90 | # Progress Bar Printing Function 91 | def printProgressBar(iteration): 92 | if self.flushCodes == True: 93 | exit(0) 94 | percent = round(float(("{0:." + str(decimals) + "f}").format(100 * (iteration / float(total)))) + 0.1, 1) 95 | 96 | if percent > float(100): 97 | percent = 100.0 98 | 99 | fill_color_applied = False 100 | try: 101 | fill = self.dump_colors(code=static_color[0]) + fill_symbol + self.dump_colors(code=7) 102 | fill_color_applied = True 103 | except (IndexError, TypeError): 104 | pass 105 | 106 | if not fill_color_applied: 107 | if percent >= float(0) and percent <= float(11): 108 | fill = self.dump_colors( 109 | code=124) + fill_symbol + self.dump_colors(code=7) 110 | elif percent > float(11) and percent <= float(21): 111 | fill = self.dump_colors( 112 | code=196) + fill_symbol + self.dump_colors(code=7) 113 | elif percent > float(21) and percent <= float(31): 114 | fill = self.dump_colors( 115 | code=202) + fill_symbol + self.dump_colors(code=7) 116 | elif percent > float(31) and percent <= float(41): 117 | fill = self.dump_colors( 118 | code=208) + fill_symbol + self.dump_colors(code=7) 119 | elif percent > float(41) and percent <= float(55): 120 | fill = self.dump_colors( 121 | code=220) + fill_symbol + self.dump_colors(code=7) 122 | elif percent > float(55) and percent <= float(71): 123 | fill = self.dump_colors( 124 | code=190) + fill_symbol + self.dump_colors(code=7) 125 | elif percent > float(71) and percent <= float(85): 126 | fill = self.dump_colors( 127 | code=34) + fill_symbol + self.dump_colors(code=7) 128 | elif percent > float(85): 129 | fill = self.dump_colors( 130 | code=46) + fill_symbol + self.dump_colors(code=7) 131 | 132 | filledLength = int(length * iteration // total) + 1 133 | bar = fill * filledLength + (ToBeFill_symbol * ToBeFill_length) * (length - filledLength) 134 | print(f'\r{prefix} |{bar}| {percent}% {suffix}', end="\r") 135 | if self.flushCodes or self.OnlyBG: 136 | exit(0) 137 | else: 138 | printProgressBar(size_done) 139 | 140 | def dump_styles(self, styles=None): 141 | """ 142 | Return esacpe code of specified 143 | *** Tested on Unix terminal *** 144 | """ 145 | 146 | if styles == 'bold': 147 | return "\033[1m" 148 | elif styles == 'faint': 149 | return '\033[2m' 150 | elif styles == 'italic': 151 | return '\033[3m' 152 | elif styles == 'underline': 153 | return '\033[4m' 154 | elif styles == 'blink': 155 | return '\033[5m' 156 | elif styles == 'reverse': 157 | return '\033[7m' 158 | elif styles == 'conceal': 159 | return '\033[8m' 160 | elif styles == 'crossed-out': 161 | return '\033[9m' 162 | elif styles == 'double-underline': 163 | return '\033[21m' 164 | elif styles == 'bold-off' or styles == 'faint-off': 165 | return '\033[22m' 166 | elif styles == 'italic-off': 167 | return '\033[23m' 168 | elif styles == 'underline-off': 169 | return '\033[24m' 170 | elif styles == 'blink-off': 171 | return '\033[25m' 172 | elif styles == 'reverse-off': 173 | return '\033[27m' 174 | elif styles == 'reveal' or styles == 'conceal-off': #type: ignore 175 | return '\033[28m' 176 | elif styles == 'crossed-out-off': 177 | return '\033[29m' 178 | elif styles == "overlined": 179 | return '\033[53m' 180 | elif styles == 'overlined-off': 181 | return '\033[55m' 182 | elif styles == 'reset': 183 | return '\033[0m' 184 | 185 | @staticmethod 186 | def printErr(msg: str, pauseOnError = True) -> None: 187 | obj = Prettify() 188 | print(f"{obj.dump_colors(code=196)}{msg}{obj.dump_styles(styles='reset')}") 189 | input() if pauseOnError else None 190 | 191 | @staticmethod 192 | def printSuc(msg: str) -> None: 193 | obj = Prettify() 194 | print(f"{obj.dump_colors(code=46)}{msg}{obj.dump_styles(styles='reset')}") 195 | 196 | @staticmethod 197 | def printWar(msg: str) -> None: 198 | obj = Prettify() 199 | print(f"{obj.dump_colors(code=208)}{msg}{obj.dump_styles(styles='reset')}") 200 | 201 | @staticmethod 202 | def printInf(msg: str) -> None: 203 | obj = Prettify() 204 | print(f"{obj.dump_colors(code=198)}{msg}{obj.dump_styles(styles='reset')}") 205 | 206 | @staticmethod 207 | def printFeaturedText(msg: str, blinkersColorCode = 196, msgColorCode = 226): 208 | self = Prettify() 209 | print(self.dump_styles(styles='blink') + self.dump_colors(code=blinkersColorCode) + '♦ ' + self.dump_styles(styles='blink-off') + self.dump_colors(code=msgColorCode) + msg + self.dump_styles(styles='blink') + self.dump_colors(code=blinkersColorCode) + ' ♦' + self.dump_styles(styles='reset')) 210 | 211 | if __name__ == "__main__": 212 | """For Debugging and Initial testing purposes""" 213 | 214 | cl = Prettify() 215 | cl.dump_colors() 216 | dump_styles = False 217 | try: 218 | if sys.argv[1] == 'dump_styles': 219 | dump_styles = True 220 | else: 221 | dump_styles = False 222 | except: 223 | pass 224 | if dump_styles: 225 | #show styles 226 | print(cl.dump_styles(styles='underline') + 'Styles' + cl.dump_styles(styles='underline-off') + ' ' + cl.dump_styles(styles='underline') + 'Codename' + cl.dump_styles(styles='underline-off')) 227 | print(cl.dump_styles(styles='bold') + "Bold Text" + cl.dump_styles(styles='bold-off') + ' ' + 'bold, bold-off') 228 | print(cl.dump_styles(styles='faint') + "Faint Text" + cl.dump_styles(styles='faint-off') + ' ' + 'faint, faint-off') 229 | print(cl.dump_styles(styles='italic') + "Italic Text" + cl.dump_styles(styles='italic-off') + ' ' + 'italic, italic-off') 230 | print(cl.dump_styles(styles='underline') + "Underlined Text" + cl.dump_styles(styles='underline-off') + ' ' + 'underline, underline-off') 231 | print(cl.dump_styles(styles='blink') + "Blinking Text" + cl.dump_styles(styles='blink-off') + ' ' + 'blink, blink-off') 232 | print(cl.dump_styles(styles='reverse') + "Inverse FG/BG" + cl.dump_styles(styles='reverse-off') + ' ' + 'reverse, reverse-off') 233 | print(cl.dump_styles(styles='conceal') + "Conceal Text" + cl.dump_styles(styles='reveal') + ' ' + 'conceal, reveal') 234 | print(cl.dump_styles(styles='overlined') + "Overlined Text" + cl.dump_styles(styles='overlined-off') + ' ' + 'overlined, overlined-off') 235 | print(cl.dump_styles(styles='crossed-out') + "Crossed Text" + cl.dump_styles(styles='crossed-out-off') + ' ' + 'crossed-out, crossed-out-off') 236 | print(cl.dump_styles(styles='double-underline') + "Double underlined Text" + cl.dump_styles(styles='underline-off') + ' ' + 'double-underline, underline-off') 237 | print() 238 | print(cl.dump_styles(styles='blink') + cl.dump_colors(code=196) + '♦ ' + cl.dump_styles(styles='blink-off') + cl.dump_colors(code=226) + 'Tested on Unix Terminal. Some styles may not work on other platforms' + cl.dump_styles(styles='blink') + cl.dump_colors(code=196) + ' ♦' + cl.dump_styles(styles='reset')) 239 | else: 240 | for i in range(123452): 241 | time.sleep(0.0001) 242 | cl.progressBar(total_size=123452, size_done=i, fill_symbol=' ☻ ', ToBeFill_symbol=' ☺ ', length=20) 243 | print() 244 | -------------------------------------------------------------------------------- /src/utils/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Spectre-hidN/LibRead-Tool/513a1d3cf9baa94841f13fd367a410b8024e9d65/src/utils/__init__.py -------------------------------------------------------------------------------- /src/utils/configGenerator.py: -------------------------------------------------------------------------------- 1 | def create_default_config(config_name): 2 | 3 | searchResultSelector = "body > div.main > div.wp > div.row-box > div.col-content > div > div > div > div > div.txt > h3 > a" 4 | statusSelectorI = "body > div.main > div > div > div.col-content > div.m-info > div.m-book1 > div.m-imgtxt > div.txt > div:nth-child(6) > div > span" 5 | statusSelectorII = "body > div.main > div > div > div.col-content > div.m-info > div.m-book1 > div.m-imgtxt > div.txt > div:nth-child(5) > div > span" 6 | statusSelectorIII = "body > div.main > div > div > div.col-content > div.m-info > div.m-book1 > div.m-imgtxt > div.txt > div:nth-child(4) > div > span" 7 | totalChaptersSelector = "#idData > li > a" 8 | coverImageDivSelector = "body > div.main > div > div > div.col-content > div.m-info > div.m-book1 > div.m-imgtxt > div.pic > img" 9 | articleDivSelector = "#article > p" 10 | 11 | with open(config_name, 'w', encoding='utf-8') as cf: 12 | cf.write(f"""[DOMAIN] 13 | 14 | ; Change the domain name 15 | 16 | domainName = libread.com 17 | 18 | ; Modify the headers if the server is blocking your requests for being headless. 19 | origin = https://libread.com 20 | referer = https://libread.com/ 21 | authority = libread.com 22 | userAgent = Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36 23 | 24 | 25 | [SELECTOR_MAPS] 26 | 27 | ; These are the advanced settings to fix if the website changes its document structure. 28 | ; IT IS NOT RECOMMENDED TO MODIFY. 29 | 30 | searchResultSelector = {searchResultSelector} 31 | statusSelectorI = {statusSelectorI} 32 | statusSelectorII = {statusSelectorII} 33 | statusSelectorIII = {statusSelectorIII} 34 | totalChaptersSelector = {totalChaptersSelector} 35 | coverImageDivSelector = {coverImageDivSelector} 36 | articleDivSelector = {articleDivSelector} 37 | 38 | [NOMENCLATURES] 39 | 40 | ; You can only use the below variables to set up a name. use ! at both ends to indicate its a variable. 41 | ; TITLE -> Name of the novel 42 | ; STARTCHAPTER -> Indicates the starting chapter number of the part 43 | ; ENDCHAPTER -> Indicates the ending chapter number of the part 44 | 45 | ; Change the nomenclature for the output file. Affects both .txt and .mp3 file 46 | outputNomenclature = !TITLE! ~ Chapter-!STARTCHAPTER!-!ENDCHAPTER! 47 | 48 | ; Nomenclature for the cover image 49 | coverImageNomenclature = !TITLE! ~ Cover 50 | 51 | ; Replace WHITESPACE 52 | ; By befault it doesn't replace any WHITESPACE. 53 | ; But, if any of the variable has a WHITESPACE then it will be replaced by the given charater 54 | 55 | whitespaceReplacementCharacter = 56 | 57 | 58 | [TTS_CONFIG] 59 | 60 | ; Choose a voice name from the below list 61 | Voice = en-GB-SoniaNeural 62 | 63 | ; Embed unsynced subtitles to the mp3 file 64 | ; 1 = yes, 0 = no 65 | embedSubtitles = 1 66 | 67 | ; Enabling the below switch will force LibRead-Tool to fetch all the articles first in a part, then convert Text-To-Speech. 68 | ; Usually, this happens when FFMPEG is not accessible by LibRead-Tool. 69 | ; 1 = yes, 0 = no 70 | forceGrabFirstThenConvert = 0 71 | 72 | ; If the below switch is enabled, then LibRead-Tool will replace the existing parts with the new ones. 73 | ; However, if you deactivate the switch, LibRead-Tool will not overwrite the material if the part file already exists, even if the contents are only partially available. 74 | ; Disabling this will force the "forceGrabFirstThenConvert" switch to be enabled. 75 | ; 1 = yes, 0 = no 76 | replacePartContents = 1 77 | 78 | ; All Voices are lsited below 79 | ; Name: af-ZA-AdriNeural 80 | ; Gender: Female 81 | ; 82 | ; Name: af-ZA-WillemNeural 83 | ; Gender: Male 84 | ; 85 | ; Name: am-ET-AmehaNeural 86 | ; Gender: Male 87 | ; 88 | ; Name: am-ET-MekdesNeural 89 | ; Gender: Female 90 | ; 91 | ; Name: ar-AE-FatimaNeural 92 | ; Gender: Female 93 | ; 94 | ; Name: ar-AE-HamdanNeural 95 | ; Gender: Male 96 | ; 97 | ; Name: ar-BH-AliNeural 98 | ; Gender: Male 99 | ; 100 | ; Name: ar-BH-LailaNeural 101 | ; Gender: Female 102 | ; 103 | ; Name: ar-DZ-AminaNeural 104 | ; Gender: Female 105 | ; 106 | ; Name: ar-DZ-IsmaelNeural 107 | ; Gender: Male 108 | ; 109 | ; Name: ar-EG-SalmaNeural 110 | ; Gender: Female 111 | ; 112 | ; Name: ar-EG-ShakirNeural 113 | ; Gender: Male 114 | ; 115 | ; Name: ar-IQ-BasselNeural 116 | ; Gender: Male 117 | ; 118 | ; Name: ar-IQ-RanaNeural 119 | ; Gender: Female 120 | ; 121 | ; Name: ar-JO-SanaNeural 122 | ; Gender: Female 123 | ; 124 | ; Name: ar-JO-TaimNeural 125 | ; Gender: Male 126 | ; 127 | ; Name: ar-KW-FahedNeural 128 | ; Gender: Male 129 | ; 130 | ; Name: ar-KW-NouraNeural 131 | ; Gender: Female 132 | ; 133 | ; Name: ar-LB-LaylaNeural 134 | ; Gender: Female 135 | ; 136 | ; Name: ar-LB-RamiNeural 137 | ; Gender: Male 138 | ; 139 | ; Name: ar-LY-ImanNeural 140 | ; Gender: Female 141 | ; 142 | ; Name: ar-LY-OmarNeural 143 | ; Gender: Male 144 | ; 145 | ; Name: ar-MA-JamalNeural 146 | ; Gender: Male 147 | ; 148 | ; Name: ar-MA-MounaNeural 149 | ; Gender: Female 150 | ; 151 | ; Name: ar-OM-AbdullahNeural 152 | ; Gender: Male 153 | ; 154 | ; Name: ar-OM-AyshaNeural 155 | ; Gender: Female 156 | ; 157 | ; Name: ar-QA-AmalNeural 158 | ; Gender: Female 159 | ; 160 | ; Name: ar-QA-MoazNeural 161 | ; Gender: Male 162 | ; 163 | ; Name: ar-SA-HamedNeural 164 | ; Gender: Male 165 | ; 166 | ; Name: ar-SA-ZariyahNeural 167 | ; Gender: Female 168 | ; 169 | ; Name: ar-SY-AmanyNeural 170 | ; Gender: Female 171 | ; 172 | ; Name: ar-SY-LaithNeural 173 | ; Gender: Male 174 | ; 175 | ; Name: ar-TN-HediNeural 176 | ; Gender: Male 177 | ; 178 | ; Name: ar-TN-ReemNeural 179 | ; Gender: Female 180 | ; 181 | ; Name: ar-YE-MaryamNeural 182 | ; Gender: Female 183 | ; 184 | ; Name: ar-YE-SalehNeural 185 | ; Gender: Male 186 | ; 187 | ; Name: az-AZ-BabekNeural 188 | ; Gender: Male 189 | ; 190 | ; Name: az-AZ-BanuNeural 191 | ; Gender: Female 192 | ; 193 | ; Name: bg-BG-BorislavNeural 194 | ; Gender: Male 195 | ; 196 | ; Name: bg-BG-KalinaNeural 197 | ; Gender: Female 198 | ; 199 | ; Name: bn-BD-NabanitaNeural 200 | ; Gender: Female 201 | ; 202 | ; Name: bn-BD-PradeepNeural 203 | ; Gender: Male 204 | ; 205 | ; Name: bn-IN-BashkarNeural 206 | ; Gender: Male 207 | ; 208 | ; Name: bn-IN-TanishaaNeural 209 | ; Gender: Female 210 | ; 211 | ; Name: bs-BA-GoranNeural 212 | ; Gender: Male 213 | ; 214 | ; Name: bs-BA-VesnaNeural 215 | ; Gender: Female 216 | ; 217 | ; Name: ca-ES-EnricNeural 218 | ; Gender: Male 219 | ; 220 | ; Name: ca-ES-JoanaNeural 221 | ; Gender: Female 222 | ; 223 | ; Name: cs-CZ-AntoninNeural 224 | ; Gender: Male 225 | ; 226 | ; Name: cs-CZ-VlastaNeural 227 | ; Gender: Female 228 | ; 229 | ; Name: cy-GB-AledNeural 230 | ; Gender: Male 231 | ; 232 | ; Name: cy-GB-NiaNeural 233 | ; Gender: Female 234 | ; 235 | ; Name: da-DK-ChristelNeural 236 | ; Gender: Female 237 | ; 238 | ; Name: da-DK-JeppeNeural 239 | ; Gender: Male 240 | ; 241 | ; Name: de-AT-IngridNeural 242 | ; Gender: Female 243 | ; 244 | ; Name: de-AT-JonasNeural 245 | ; Gender: Male 246 | ; 247 | ; Name: de-CH-JanNeural 248 | ; Gender: Male 249 | ; 250 | ; Name: de-CH-LeniNeural 251 | ; Gender: Female 252 | ; 253 | ; Name: de-DE-AmalaNeural 254 | ; Gender: Female 255 | ; 256 | ; Name: de-DE-ConradNeural 257 | ; Gender: Male 258 | ; 259 | ; Name: de-DE-FlorianMultilingualNeural 260 | ; Gender: Male 261 | ; 262 | ; Name: de-DE-KatjaNeural 263 | ; Gender: Female 264 | ; 265 | ; Name: de-DE-KillianNeural 266 | ; Gender: Male 267 | ; 268 | ; Name: de-DE-SeraphinaMultilingualNeural 269 | ; Gender: Female 270 | ; 271 | ; Name: el-GR-AthinaNeural 272 | ; Gender: Female 273 | ; 274 | ; Name: el-GR-NestorasNeural 275 | ; Gender: Male 276 | ; 277 | ; Name: en-AU-NatashaNeural 278 | ; Gender: Female 279 | ; 280 | ; Name: en-AU-WilliamNeural 281 | ; Gender: Male 282 | ; 283 | ; Name: en-CA-ClaraNeural 284 | ; Gender: Female 285 | ; 286 | ; Name: en-CA-LiamNeural 287 | ; Gender: Male 288 | ; 289 | ; Name: en-GB-LibbyNeural 290 | ; Gender: Female 291 | ; 292 | ; Name: en-GB-MaisieNeural 293 | ; Gender: Female 294 | ; 295 | ; Name: en-GB-RyanNeural 296 | ; Gender: Male 297 | ; 298 | ; Name: en-GB-SoniaNeural 299 | ; Gender: Female 300 | ; 301 | ; Name: en-GB-ThomasNeural 302 | ; Gender: Male 303 | ; 304 | ; Name: en-HK-SamNeural 305 | ; Gender: Male 306 | ; 307 | ; Name: en-HK-YanNeural 308 | ; Gender: Female 309 | ; 310 | ; Name: en-IE-ConnorNeural 311 | ; Gender: Male 312 | ; 313 | ; Name: en-IE-EmilyNeural 314 | ; Gender: Female 315 | ; 316 | ; Name: en-IN-NeerjaExpressiveNeural 317 | ; Gender: Female 318 | ; 319 | ; Name: en-IN-NeerjaNeural 320 | ; Gender: Female 321 | ; 322 | ; Name: en-IN-PrabhatNeural 323 | ; Gender: Male 324 | ; 325 | ; Name: en-KE-AsiliaNeural 326 | ; Gender: Female 327 | ; 328 | ; Name: en-KE-ChilembaNeural 329 | ; Gender: Male 330 | ; 331 | ; Name: en-NG-AbeoNeural 332 | ; Gender: Male 333 | ; 334 | ; Name: en-NG-EzinneNeural 335 | ; Gender: Female 336 | ; 337 | ; Name: en-NZ-MitchellNeural 338 | ; Gender: Male 339 | ; 340 | ; Name: en-NZ-MollyNeural 341 | ; Gender: Female 342 | ; 343 | ; Name: en-PH-JamesNeural 344 | ; Gender: Male 345 | ; 346 | ; Name: en-PH-RosaNeural 347 | ; Gender: Female 348 | ; 349 | ; Name: en-SG-LunaNeural 350 | ; Gender: Female 351 | ; 352 | ; Name: en-SG-WayneNeural 353 | ; Gender: Male 354 | ; 355 | ; Name: en-TZ-ElimuNeural 356 | ; Gender: Male 357 | ; 358 | ; Name: en-TZ-ImaniNeural 359 | ; Gender: Female 360 | ; 361 | ; Name: en-US-AnaNeural 362 | ; Gender: Female 363 | ; 364 | ; Name: en-US-AndrewNeural 365 | ; Gender: Male 366 | ; 367 | ; Name: en-US-AriaNeural 368 | ; Gender: Female 369 | ; 370 | ; Name: en-US-AvaNeural 371 | ; Gender: Female 372 | ; 373 | ; Name: en-US-BrianNeural 374 | ; Gender: Male 375 | ; 376 | ; Name: en-US-ChristopherNeural 377 | ; Gender: Male 378 | ; 379 | ; Name: en-US-EmmaNeural 380 | ; Gender: Female 381 | ; 382 | ; Name: en-US-EricNeural 383 | ; Gender: Male 384 | ; 385 | ; Name: en-US-GuyNeural 386 | ; Gender: Male 387 | ; 388 | ; Name: en-US-JennyNeural 389 | ; Gender: Female 390 | ; 391 | ; Name: en-US-MichelleNeural 392 | ; Gender: Female 393 | ; 394 | ; Name: en-US-RogerNeural 395 | ; Gender: Male 396 | ; 397 | ; Name: en-US-SteffanNeural 398 | ; Gender: Male 399 | ; 400 | ; Name: en-ZA-LeahNeural 401 | ; Gender: Female 402 | ; 403 | ; Name: en-ZA-LukeNeural 404 | ; Gender: Male 405 | ; 406 | ; Name: es-AR-ElenaNeural 407 | ; Gender: Female 408 | ; 409 | ; Name: es-AR-TomasNeural 410 | ; Gender: Male 411 | ; 412 | ; Name: es-BO-MarceloNeural 413 | ; Gender: Male 414 | ; 415 | ; Name: es-BO-SofiaNeural 416 | ; Gender: Female 417 | ; 418 | ; Name: es-CL-CatalinaNeural 419 | ; Gender: Female 420 | ; 421 | ; Name: es-CL-LorenzoNeural 422 | ; Gender: Male 423 | ; 424 | ; Name: es-CO-GonzaloNeural 425 | ; Gender: Male 426 | ; 427 | ; Name: es-CO-SalomeNeural 428 | ; Gender: Female 429 | ; 430 | ; Name: es-CR-JuanNeural 431 | ; Gender: Male 432 | ; 433 | ; Name: es-CR-MariaNeural 434 | ; Gender: Female 435 | ; 436 | ; Name: es-CU-BelkysNeural 437 | ; Gender: Female 438 | ; 439 | ; Name: es-CU-ManuelNeural 440 | ; Gender: Male 441 | ; 442 | ; Name: es-DO-EmilioNeural 443 | ; Gender: Male 444 | ; 445 | ; Name: es-DO-RamonaNeural 446 | ; Gender: Female 447 | ; 448 | ; Name: es-EC-AndreaNeural 449 | ; Gender: Female 450 | ; 451 | ; Name: es-EC-LuisNeural 452 | ; Gender: Male 453 | ; 454 | ; Name: es-ES-AlvaroNeural 455 | ; Gender: Male 456 | ; 457 | ; Name: es-ES-ElviraNeural 458 | ; Gender: Female 459 | ; 460 | ; Name: es-ES-XimenaNeural 461 | ; Gender: Female 462 | ; 463 | ; Name: es-GQ-JavierNeural 464 | ; Gender: Male 465 | ; 466 | ; Name: es-GQ-TeresaNeural 467 | ; Gender: Female 468 | ; 469 | ; Name: es-GT-AndresNeural 470 | ; Gender: Male 471 | ; 472 | ; Name: es-GT-MartaNeural 473 | ; Gender: Female 474 | ; 475 | ; Name: es-HN-CarlosNeural 476 | ; Gender: Male 477 | ; 478 | ; Name: es-HN-KarlaNeural 479 | ; Gender: Female 480 | ; 481 | ; Name: es-MX-DaliaNeural 482 | ; Gender: Female 483 | ; 484 | ; Name: es-MX-JorgeNeural 485 | ; Gender: Male 486 | ; 487 | ; Name: es-NI-FedericoNeural 488 | ; Gender: Male 489 | ; 490 | ; Name: es-NI-YolandaNeural 491 | ; Gender: Female 492 | ; 493 | ; Name: es-PA-MargaritaNeural 494 | ; Gender: Female 495 | ; 496 | ; Name: es-PA-RobertoNeural 497 | ; Gender: Male 498 | ; 499 | ; Name: es-PE-AlexNeural 500 | ; Gender: Male 501 | ; 502 | ; Name: es-PE-CamilaNeural 503 | ; Gender: Female 504 | ; 505 | ; Name: es-PR-KarinaNeural 506 | ; Gender: Female 507 | ; 508 | ; Name: es-PR-VictorNeural 509 | ; Gender: Male 510 | ; 511 | ; Name: es-PY-MarioNeural 512 | ; Gender: Male 513 | ; 514 | ; Name: es-PY-TaniaNeural 515 | ; Gender: Female 516 | ; 517 | ; Name: es-SV-LorenaNeural 518 | ; Gender: Female 519 | ; 520 | ; Name: es-SV-RodrigoNeural 521 | ; Gender: Male 522 | ; 523 | ; Name: es-US-AlonsoNeural 524 | ; Gender: Male 525 | ; 526 | ; Name: es-US-PalomaNeural 527 | ; Gender: Female 528 | ; 529 | ; Name: es-UY-MateoNeural 530 | ; Gender: Male 531 | ; 532 | ; Name: es-UY-ValentinaNeural 533 | ; Gender: Female 534 | ; 535 | ; Name: es-VE-PaolaNeural 536 | ; Gender: Female 537 | ; 538 | ; Name: es-VE-SebastianNeural 539 | ; Gender: Male 540 | ; 541 | ; Name: et-EE-AnuNeural 542 | ; Gender: Female 543 | ; 544 | ; Name: et-EE-KertNeural 545 | ; Gender: Male 546 | ; 547 | ; Name: fa-IR-DilaraNeural 548 | ; Gender: Female 549 | ; 550 | ; Name: fa-IR-FaridNeural 551 | ; Gender: Male 552 | ; 553 | ; Name: fi-FI-HarriNeural 554 | ; Gender: Male 555 | ; 556 | ; Name: fi-FI-NooraNeural 557 | ; Gender: Female 558 | ; 559 | ; Name: fil-PH-AngeloNeural 560 | ; Gender: Male 561 | ; 562 | ; Name: fil-PH-BlessicaNeural 563 | ; Gender: Female 564 | ; 565 | ; Name: fr-BE-CharlineNeural 566 | ; Gender: Female 567 | ; 568 | ; Name: fr-BE-GerardNeural 569 | ; Gender: Male 570 | ; 571 | ; Name: fr-CA-AntoineNeural 572 | ; Gender: Male 573 | ; 574 | ; Name: fr-CA-JeanNeural 575 | ; Gender: Male 576 | ; 577 | ; Name: fr-CA-SylvieNeural 578 | ; Gender: Female 579 | ; 580 | ; Name: fr-CA-ThierryNeural 581 | ; Gender: Male 582 | ; 583 | ; Name: fr-CH-ArianeNeural 584 | ; Gender: Female 585 | ; 586 | ; Name: fr-CH-FabriceNeural 587 | ; Gender: Male 588 | ; 589 | ; Name: fr-FR-DeniseNeural 590 | ; Gender: Female 591 | ; 592 | ; Name: fr-FR-EloiseNeural 593 | ; Gender: Female 594 | ; 595 | ; Name: fr-FR-HenriNeural 596 | ; Gender: Male 597 | ; 598 | ; Name: fr-FR-RemyMultilingualNeural 599 | ; Gender: Male 600 | ; 601 | ; Name: fr-FR-VivienneMultilingualNeural 602 | ; Gender: Female 603 | ; 604 | ; Name: ga-IE-ColmNeural 605 | ; Gender: Male 606 | ; 607 | ; Name: ga-IE-OrlaNeural 608 | ; Gender: Female 609 | ; 610 | ; Name: gl-ES-RoiNeural 611 | ; Gender: Male 612 | ; 613 | ; Name: gl-ES-SabelaNeural 614 | ; Gender: Female 615 | ; 616 | ; Name: gu-IN-DhwaniNeural 617 | ; Gender: Female 618 | ; 619 | ; Name: gu-IN-NiranjanNeural 620 | ; Gender: Male 621 | ; 622 | ; Name: he-IL-AvriNeural 623 | ; Gender: Male 624 | ; 625 | ; Name: he-IL-HilaNeural 626 | ; Gender: Female 627 | ; 628 | ; Name: hi-IN-MadhurNeural 629 | ; Gender: Male 630 | ; 631 | ; Name: hi-IN-SwaraNeural 632 | ; Gender: Female 633 | ; 634 | ; Name: hr-HR-GabrijelaNeural 635 | ; Gender: Female 636 | ; 637 | ; Name: hr-HR-SreckoNeural 638 | ; Gender: Male 639 | ; 640 | ; Name: hu-HU-NoemiNeural 641 | ; Gender: Female 642 | ; 643 | ; Name: hu-HU-TamasNeural 644 | ; Gender: Male 645 | ; 646 | ; Name: id-ID-ArdiNeural 647 | ; Gender: Male 648 | ; 649 | ; Name: id-ID-GadisNeural 650 | ; Gender: Female 651 | ; 652 | ; Name: is-IS-GudrunNeural 653 | ; Gender: Female 654 | ; 655 | ; Name: is-IS-GunnarNeural 656 | ; Gender: Male 657 | ; 658 | ; Name: it-IT-DiegoNeural 659 | ; Gender: Male 660 | ; 661 | ; Name: it-IT-ElsaNeural 662 | ; Gender: Female 663 | ; 664 | ; Name: it-IT-GiuseppeNeural 665 | ; Gender: Male 666 | ; 667 | ; Name: it-IT-IsabellaNeural 668 | ; Gender: Female 669 | ; 670 | ; Name: ja-JP-KeitaNeural 671 | ; Gender: Male 672 | ; 673 | ; Name: ja-JP-NanamiNeural 674 | ; Gender: Female 675 | ; 676 | ; Name: jv-ID-DimasNeural 677 | ; Gender: Male 678 | ; 679 | ; Name: jv-ID-SitiNeural 680 | ; Gender: Female 681 | ; 682 | ; Name: ka-GE-EkaNeural 683 | ; Gender: Female 684 | ; 685 | ; Name: ka-GE-GiorgiNeural 686 | ; Gender: Male 687 | ; 688 | ; Name: kk-KZ-AigulNeural 689 | ; Gender: Female 690 | ; 691 | ; Name: kk-KZ-DauletNeural 692 | ; Gender: Male 693 | ; 694 | ; Name: km-KH-PisethNeural 695 | ; Gender: Male 696 | ; 697 | ; Name: km-KH-SreymomNeural 698 | ; Gender: Female 699 | ; 700 | ; Name: kn-IN-GaganNeural 701 | ; Gender: Male 702 | ; 703 | ; Name: kn-IN-SapnaNeural 704 | ; Gender: Female 705 | ; 706 | ; Name: ko-KR-HyunsuNeural 707 | ; Gender: Male 708 | ; 709 | ; Name: ko-KR-InJoonNeural 710 | ; Gender: Male 711 | ; 712 | ; Name: ko-KR-SunHiNeural 713 | ; Gender: Female 714 | ; 715 | ; Name: lo-LA-ChanthavongNeural 716 | ; Gender: Male 717 | ; 718 | ; Name: lo-LA-KeomanyNeural 719 | ; Gender: Female 720 | ; 721 | ; Name: lt-LT-LeonasNeural 722 | ; Gender: Male 723 | ; 724 | ; Name: lt-LT-OnaNeural 725 | ; Gender: Female 726 | ; 727 | ; Name: lv-LV-EveritaNeural 728 | ; Gender: Female 729 | ; 730 | ; Name: lv-LV-NilsNeural 731 | ; Gender: Male 732 | ; 733 | ; Name: mk-MK-AleksandarNeural 734 | ; Gender: Male 735 | ; 736 | ; Name: mk-MK-MarijaNeural 737 | ; Gender: Female 738 | ; 739 | ; Name: ml-IN-MidhunNeural 740 | ; Gender: Male 741 | ; 742 | ; Name: ml-IN-SobhanaNeural 743 | ; Gender: Female 744 | ; 745 | ; Name: mn-MN-BataaNeural 746 | ; Gender: Male 747 | ; 748 | ; Name: mn-MN-YesuiNeural 749 | ; Gender: Female 750 | ; 751 | ; Name: mr-IN-AarohiNeural 752 | ; Gender: Female 753 | ; 754 | ; Name: mr-IN-ManoharNeural 755 | ; Gender: Male 756 | ; 757 | ; Name: ms-MY-OsmanNeural 758 | ; Gender: Male 759 | ; 760 | ; Name: ms-MY-YasminNeural 761 | ; Gender: Female 762 | ; 763 | ; Name: mt-MT-GraceNeural 764 | ; Gender: Female 765 | ; 766 | ; Name: mt-MT-JosephNeural 767 | ; Gender: Male 768 | ; 769 | ; Name: my-MM-NilarNeural 770 | ; Gender: Female 771 | ; 772 | ; Name: my-MM-ThihaNeural 773 | ; Gender: Male 774 | ; 775 | ; Name: nb-NO-FinnNeural 776 | ; Gender: Male 777 | ; 778 | ; Name: nb-NO-PernilleNeural 779 | ; Gender: Female 780 | ; 781 | ; Name: ne-NP-HemkalaNeural 782 | ; Gender: Female 783 | ; 784 | ; Name: ne-NP-SagarNeural 785 | ; Gender: Male 786 | ; 787 | ; Name: nl-BE-ArnaudNeural 788 | ; Gender: Male 789 | ; 790 | ; Name: nl-BE-DenaNeural 791 | ; Gender: Female 792 | ; 793 | ; Name: nl-NL-ColetteNeural 794 | ; Gender: Female 795 | ; 796 | ; Name: nl-NL-FennaNeural 797 | ; Gender: Female 798 | ; 799 | ; Name: nl-NL-MaartenNeural 800 | ; Gender: Male 801 | ; 802 | ; Name: pl-PL-MarekNeural 803 | ; Gender: Male 804 | ; 805 | ; Name: pl-PL-ZofiaNeural 806 | ; Gender: Female 807 | ; 808 | ; Name: ps-AF-GulNawazNeural 809 | ; Gender: Male 810 | ; 811 | ; Name: ps-AF-LatifaNeural 812 | ; Gender: Female 813 | ; 814 | ; Name: pt-BR-AntonioNeural 815 | ; Gender: Male 816 | ; 817 | ; Name: pt-BR-FranciscaNeural 818 | ; Gender: Female 819 | ; 820 | ; Name: pt-BR-ThalitaNeural 821 | ; Gender: Female 822 | ; 823 | ; Name: pt-PT-DuarteNeural 824 | ; Gender: Male 825 | ; 826 | ; Name: pt-PT-RaquelNeural 827 | ; Gender: Female 828 | ; 829 | ; Name: ro-RO-AlinaNeural 830 | ; Gender: Female 831 | ; 832 | ; Name: ro-RO-EmilNeural 833 | ; Gender: Male 834 | ; 835 | ; Name: ru-RU-DmitryNeural 836 | ; Gender: Male 837 | ; 838 | ; Name: ru-RU-SvetlanaNeural 839 | ; Gender: Female 840 | ; 841 | ; Name: si-LK-SameeraNeural 842 | ; Gender: Male 843 | ; 844 | ; Name: si-LK-ThiliniNeural 845 | ; Gender: Female 846 | ; 847 | ; Name: sk-SK-LukasNeural 848 | ; Gender: Male 849 | ; 850 | ; Name: sk-SK-ViktoriaNeural 851 | ; Gender: Female 852 | ; 853 | ; Name: sl-SI-PetraNeural 854 | ; Gender: Female 855 | ; 856 | ; Name: sl-SI-RokNeural 857 | ; Gender: Male 858 | ; 859 | ; Name: so-SO-MuuseNeural 860 | ; Gender: Male 861 | ; 862 | ; Name: so-SO-UbaxNeural 863 | ; Gender: Female 864 | ; 865 | ; Name: sq-AL-AnilaNeural 866 | ; Gender: Female 867 | ; 868 | ; Name: sq-AL-IlirNeural 869 | ; Gender: Male 870 | ; 871 | ; Name: sr-RS-NicholasNeural 872 | ; Gender: Male 873 | ; 874 | ; Name: sr-RS-SophieNeural 875 | ; Gender: Female 876 | ; 877 | ; Name: su-ID-JajangNeural 878 | ; Gender: Male 879 | ; 880 | ; Name: su-ID-TutiNeural 881 | ; Gender: Female 882 | ; 883 | ; Name: sv-SE-MattiasNeural 884 | ; Gender: Male 885 | ; 886 | ; Name: sv-SE-SofieNeural 887 | ; Gender: Female 888 | ; 889 | ; Name: sw-KE-RafikiNeural 890 | ; Gender: Male 891 | ; 892 | ; Name: sw-KE-ZuriNeural 893 | ; Gender: Female 894 | ; 895 | ; Name: sw-TZ-DaudiNeural 896 | ; Gender: Male 897 | ; 898 | ; Name: sw-TZ-RehemaNeural 899 | ; Gender: Female 900 | ; 901 | ; Name: ta-IN-PallaviNeural 902 | ; Gender: Female 903 | ; 904 | ; Name: ta-IN-ValluvarNeural 905 | ; Gender: Male 906 | ; 907 | ; Name: ta-LK-KumarNeural 908 | ; Gender: Male 909 | ; 910 | ; Name: ta-LK-SaranyaNeural 911 | ; Gender: Female 912 | ; 913 | ; Name: ta-MY-KaniNeural 914 | ; Gender: Female 915 | ; 916 | ; Name: ta-MY-SuryaNeural 917 | ; Gender: Male 918 | ; 919 | ; Name: ta-SG-AnbuNeural 920 | ; Gender: Male 921 | ; 922 | ; Name: ta-SG-VenbaNeural 923 | ; Gender: Female 924 | ; 925 | ; Name: te-IN-MohanNeural 926 | ; Gender: Male 927 | ; 928 | ; Name: te-IN-ShrutiNeural 929 | ; Gender: Female 930 | ; 931 | ; Name: th-TH-NiwatNeural 932 | ; Gender: Male 933 | ; 934 | ; Name: th-TH-PremwadeeNeural 935 | ; Gender: Female 936 | ; 937 | ; Name: tr-TR-AhmetNeural 938 | ; Gender: Male 939 | ; 940 | ; Name: tr-TR-EmelNeural 941 | ; Gender: Female 942 | ; 943 | ; Name: uk-UA-OstapNeural 944 | ; Gender: Male 945 | ; 946 | ; Name: uk-UA-PolinaNeural 947 | ; Gender: Female 948 | ; 949 | ; Name: ur-IN-GulNeural 950 | ; Gender: Female 951 | ; 952 | ; Name: ur-IN-SalmanNeural 953 | ; Gender: Male 954 | ; 955 | ; Name: ur-PK-AsadNeural 956 | ; Gender: Male 957 | ; 958 | ; Name: ur-PK-UzmaNeural 959 | ; Gender: Female 960 | ; 961 | ; Name: uz-UZ-MadinaNeural 962 | ; Gender: Female 963 | ; 964 | ; Name: uz-UZ-SardorNeural 965 | ; Gender: Male 966 | ; 967 | ; Name: vi-VN-HoaiMyNeural 968 | ; Gender: Female 969 | ; 970 | ; Name: vi-VN-NamMinhNeural 971 | ; Gender: Male 972 | ; 973 | ; Name: zh-CN-XiaoxiaoNeural 974 | ; Gender: Female 975 | ; 976 | ; Name: zh-CN-XiaoyiNeural 977 | ; Gender: Female 978 | ; 979 | ; Name: zh-CN-YunjianNeural 980 | ; Gender: Male 981 | ; 982 | ; Name: zh-CN-YunxiNeural 983 | ; Gender: Male 984 | ; 985 | ; Name: zh-CN-YunxiaNeural 986 | ; Gender: Male 987 | ; 988 | ; Name: zh-CN-YunyangNeural 989 | ; Gender: Male 990 | ; 991 | ; Name: zh-CN-liaoning-XiaobeiNeural 992 | ; Gender: Female 993 | ; 994 | ; Name: zh-CN-shaanxi-XiaoniNeural 995 | ; Gender: Female 996 | ; 997 | ; Name: zh-HK-HiuGaaiNeural 998 | ; Gender: Female 999 | ; 1000 | ; Name: zh-HK-HiuMaanNeural 1001 | ; Gender: Female 1002 | ; 1003 | ; Name: zh-HK-WanLungNeural 1004 | ; Gender: Male 1005 | ; 1006 | ; Name: zh-TW-HsiaoChenNeural 1007 | ; Gender: Female 1008 | ; 1009 | ; Name: zh-TW-HsiaoYuNeural 1010 | ; Gender: Female 1011 | ; 1012 | ; Name: zh-TW-YunJheNeural 1013 | ; Gender: Male 1014 | ; 1015 | ; Name: zu-ZA-ThandoNeural 1016 | ; Gender: Female 1017 | ; 1018 | ; Name: zu-ZA-ThembaNeural 1019 | ; Gender: Male""") 1020 | cf.close() 1021 | -------------------------------------------------------------------------------- /src/utils/ffmpegWrapper.py: -------------------------------------------------------------------------------- 1 | import subprocess 2 | import re 3 | import os 4 | import configparser 5 | from .configGenerator import create_default_config 6 | from .Prettify import Prettify, clearLine 7 | from .twoSecondSilence import getFileBytes 8 | import music_tag 9 | 10 | printSuc = Prettify.printSuc 11 | printWar = Prettify.printWar 12 | printErr = Prettify.printErr 13 | printFeaturedText = Prettify.printFeaturedText 14 | 15 | CONFIG_FILE = "libread-config.ini" 16 | global EMBED_SUBS 17 | 18 | def _sorted_alphanumeric(data): 19 | convert = lambda text: int(text) if text.isdigit() else text.lower() 20 | alphanum_key = lambda key: [ convert(c) for c in re.split('([0-9]+)', key) ] 21 | return sorted(data, key=alphanum_key) 22 | 23 | def _readConfig(): 24 | if(os.path.isfile(CONFIG_FILE)): 25 | try: 26 | config = configparser.ConfigParser() 27 | config.read(CONFIG_FILE) 28 | global EMBED_SUBS 29 | EMBED_SUBS = config.getboolean("TTS_CONFIG", "embedSubtitles") 30 | except: 31 | printWar("Corrupted config file detected! Re-generating a new one...") 32 | create_default_config(CONFIG_FILE) 33 | _readConfig() 34 | else: 35 | create_default_config(CONFIG_FILE) 36 | _readConfig() 37 | 38 | def performSanityCheck() -> bool: 39 | try: 40 | result = subprocess.check_output(["ffmpeg", "-version"]).decode() 41 | except: 42 | printFeaturedText(msg="FFMPEG not found in the path! LibRead-Tool will download all articles before converting them.") 43 | return False 44 | 45 | ffmpegVersion = re.search("ffmpeg version (.*) Copyright", result).group(1) 46 | printSuc(f"FFMPEG version {ffmpegVersion} found!") 47 | return True 48 | 49 | # Will merge all mp3 files into one and embed the subtitles from subs.txt 50 | def mergeChunks(chunkFilesDir: str, outputFilePrefix: str, coverImagePath = None) -> None: 51 | _readConfig() 52 | 53 | allMP3Files = _sorted_alphanumeric([f for f in os.listdir(chunkFilesDir) if (os.path.isfile(os.path.join(chunkFilesDir, f)) and (f.split(".")[-1] == "mp3"))]) 54 | 55 | with open(f'{chunkFilesDir}/2s-delay.mp3', 'wb') as df: 56 | df.write(getFileBytes()) 57 | 58 | ffmpegfileList = "".join(f"file '{f}'\nfile '2s-delay.mp3'\n" for f in allMP3Files) 59 | 60 | with open(f'{chunkFilesDir}/inputFiles.txt', 'w', encoding="utf=8") as cf: 61 | cf.write(ffmpegfileList) 62 | 63 | retCode = os.system(f'ffmpeg -f concat -safe 0 -i "{chunkFilesDir}/inputFiles.txt" -c copy -map_metadata 0 "{outputFilePrefix}.mp3" -loglevel panic') 64 | if(retCode != 0): 65 | clearLine() 66 | printErr(f"Merge Error occured! FFMPEG ReturnCode: {str(retCode)}") 67 | return 68 | 69 | # Add ID3 tags 70 | f = music_tag.load_file(f'{outputFilePrefix}.mp3') 71 | 72 | if(EMBED_SUBS): 73 | with open(f"{chunkFilesDir}/subs.txt", 'r', encoding="utf-8") as sf: 74 | f["lyrics"] = sf.read() 75 | 76 | if(coverImagePath): 77 | with open(coverImagePath, 'rb') as If: 78 | f["artwork"] = If.read() 79 | 80 | f.save() -------------------------------------------------------------------------------- /src/utils/scrapper.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import hrequests 3 | from bs4 import BeautifulSoup 4 | import os 5 | import configparser 6 | from .Prettify import Prettify 7 | from .configGenerator import create_default_config 8 | from requests.packages.urllib3.exceptions import InsecureRequestWarning #type: ignore 9 | import urllib3 10 | 11 | CONFIG_FILE = "libread-config.ini" 12 | global DOMAIN_NAME 13 | global SEARCH_PAGE_SELECTOR, STATUS_SELECTOR_I, STATUS_SELECTOR_II, STATUS_SELECTOR_III, CHAPTER_SELECTOR, IMAGE_URL_SELECTOR, ARTICLE_DIV_SELECTOR 14 | global HEADERS 15 | 16 | printWar = Prettify.printWar 17 | printSuc = Prettify.printSuc 18 | printErr = Prettify.printErr 19 | 20 | 21 | def _readConfig(): 22 | requests.packages.urllib3.disable_warnings(InsecureRequestWarning) 23 | urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) 24 | 25 | if(os.path.isfile(CONFIG_FILE)): 26 | try: 27 | config = configparser.ConfigParser() 28 | config.read(CONFIG_FILE) 29 | 30 | global SEARCH_PAGE_SELECTOR, STATUS_SELECTOR_I, STATUS_SELECTOR_II, STATUS_SELECTOR_III, CHAPTER_SELECTOR, IMAGE_URL_SELECTOR, ARTICLE_DIV_SELECTOR 31 | SEARCH_PAGE_SELECTOR = config.get("SELECTOR_MAPS", "searchResultSelector") 32 | STATUS_SELECTOR_I = config.get("SELECTOR_MAPS", "statusSelectorI") 33 | STATUS_SELECTOR_II = config.get("SELECTOR_MAPS", "statusSelectorII") 34 | STATUS_SELECTOR_III = config.get("SELECTOR_MAPS", "statusSelectorIII") 35 | CHAPTER_SELECTOR = config.get("SELECTOR_MAPS", "totalChaptersSelector") 36 | IMAGE_URL_SELECTOR = config.get("SELECTOR_MAPS", "coverImageDivSelector") 37 | ARTICLE_DIV_SELECTOR = config.get("SELECTOR_MAPS", "articleDivSelector") 38 | 39 | global HEADERS 40 | HEADERS = { 41 | 'authority': config.get("DOMAIN", "authority"), 42 | 'User-Agent' : config.get("DOMAIN", "userAgent"), 43 | 'origin': config.get("DOMAIN", "origin"), 44 | 'referer': config.get("DOMAIN", "referer")} 45 | 46 | global DOMAIN_NAME 47 | DOMAIN_NAME = config.get("DOMAIN", "domainName") 48 | 49 | except: 50 | printWar("Corrupted config file detected! Re-generating a new one...") 51 | create_default_config(CONFIG_FILE) 52 | _readConfig() 53 | else: 54 | create_default_config(CONFIG_FILE) 55 | _readConfig() 56 | 57 | 58 | def checkConnection(): 59 | _readConfig() 60 | url = f"https://{DOMAIN_NAME}/" 61 | try: 62 | con = requests.get(url, timeout=10, verify=False) 63 | if(con.status_code == 200): 64 | return True 65 | else: 66 | print("Connection established with Status code " + con.status_code) 67 | return False 68 | except: 69 | return False 70 | 71 | def search(query: str): 72 | _readConfig() 73 | 74 | payload = {"searchkey": query} 75 | res = requests.post(f"https://{DOMAIN_NAME}/search", data=payload, headers=HEADERS, verify=False) 76 | soup = BeautifulSoup(res.content, 'html.parser') 77 | 78 | #For Debugging purposes 79 | with open("searchResultDump.html", 'w', encoding='utf-8') as f: 80 | f.write(res.content.decode()) 81 | 82 | results = soup.select(SEARCH_PAGE_SELECTOR) 83 | return results 84 | 85 | def getMetadata(url: str): 86 | _readConfig() 87 | 88 | try: 89 | res = requests.get(url, headers=HEADERS, verify=False) 90 | except: 91 | try: 92 | res = requests.get(url, headers=HEADERS) 93 | except Exception as E: 94 | printErr(f"Error occured while fetching {url}. | Error: {E} |") 95 | soup = BeautifulSoup(res.content, 'html.parser') 96 | 97 | #For Debugging purposes 98 | with open("novelPageDump.html", 'w', encoding='utf-8') as f: 99 | f.write(res.content.decode()) 100 | 101 | metadata = {'chapters': [], 'status' : None, 'cover-image': None} 102 | 103 | chapters = soup.select(CHAPTER_SELECTOR) 104 | metadata.update({'chapters' : chapters}) 105 | status = "Unknow" 106 | try: 107 | status = soup.select(STATUS_SELECTOR_I)[0].text 108 | except: 109 | try: 110 | status = soup.select(STATUS_SELECTOR_II)[0].text 111 | except: 112 | try: 113 | status = soup.select(STATUS_SELECTOR_III)[0].text 114 | except: 115 | pass 116 | 117 | metadata.update({'status' : status}) 118 | 119 | try: 120 | imageUrl = f"https://{DOMAIN_NAME}/" + soup.select(IMAGE_URL_SELECTOR)[0]["src"] 121 | 122 | image = requests.get(imageUrl, headers=HEADERS, stream=True) 123 | metadata.update({'cover-image':image}) 124 | except: 125 | pass 126 | 127 | return metadata 128 | 129 | def getArticle(url: str): 130 | _readConfig() 131 | 132 | try: 133 | res = hrequests.get(url, headers=HEADERS, verify=False) 134 | except: 135 | try: 136 | res = hrequests.get(url, headers=HEADERS) 137 | except Exception as E: 138 | printErr(f"Error occured while fetching {url}. | Error: {E} |") 139 | 140 | soup = BeautifulSoup(res.content, 'html.parser') 141 | 142 | #For Debugging purposes 143 | with open('articlePageDump.html', 'w', encoding='utf-8') as f: 144 | f.write(res.content.decode()) 145 | 146 | articleDiv = soup.select(ARTICLE_DIV_SELECTOR) 147 | articleDiv = articleDiv[0:len(articleDiv)-1] 148 | articleStr = "" 149 | for article in articleDiv: 150 | if(article.text == "…" or article.text == "..."): 151 | continue 152 | #filter out words that can break tts 153 | articleStr += article.text.replace("𝙡𝓲𝒃𝓻𝓮𝙖𝒅.𝙘𝓸𝒎", "").replace("…", "").replace("...", "").replace("𝓵𝙞𝙗𝙧𝙚𝒂𝙙.𝓬𝒐𝒎", "").replace("“", "").replace("”", "").replace("𝒍𝒊𝙗𝒓𝒆𝒂𝒅.𝓬𝒐𝓶", "").replace("*", "") 154 | articleStr += "\n" 155 | return articleStr -------------------------------------------------------------------------------- /src/utils/tts.py: -------------------------------------------------------------------------------- 1 | import edge_tts 2 | import os 3 | import configparser 4 | import re 5 | from .Prettify import Prettify 6 | from .configGenerator import create_default_config 7 | import music_tag 8 | 9 | 10 | CONFIG_FILE = "libread-config.ini" 11 | global EMBED_SUBS 12 | global VOICE_NAME 13 | 14 | printWar = Prettify.printWar 15 | 16 | def _readConfig(): 17 | if(os.path.isfile(CONFIG_FILE)): 18 | try: 19 | config = configparser.ConfigParser() 20 | config.read(CONFIG_FILE) 21 | global VOICE_NAME 22 | VOICE_NAME = config.get("TTS_CONFIG", "Voice") 23 | global EMBED_SUBS 24 | EMBED_SUBS = config.getboolean("TTS_CONFIG", "embedSubtitles") 25 | except: 26 | printWar("Corrupted config file detected! Re-generating a new one...") 27 | create_default_config(CONFIG_FILE) 28 | _readConfig() 29 | else: 30 | create_default_config(CONFIG_FILE) 31 | _readConfig() 32 | 33 | async def createTTSFromFile(filepath: str, outputFilePrefix: str, coverImagePath = None): 34 | _readConfig() 35 | 36 | inputFile = open(filepath, 'r', encoding='utf-8') 37 | communicate = edge_tts.Communicate(inputFile.read(), VOICE_NAME) 38 | submaker = edge_tts.SubMaker() 39 | with open(outputFilePrefix+".mp3", "wb") as f: 40 | async for chunk in communicate.stream(): 41 | if chunk["type"] == "audio": 42 | f.write(chunk["data"]) 43 | elif chunk["type"] == "WordBoundary": 44 | submaker.create_sub((chunk["offset"], chunk["duration"]), chunk["text"]) 45 | 46 | subs = submaker.generate_subs() 47 | with open(outputFilePrefix+".vtt", "w", encoding="utf-8") as sf: 48 | sf.write(subs) 49 | 50 | subs = subs.replace("""WEBVTT""", "") 51 | subs = re.sub("[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{3} --> [0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{3}", "", subs) 52 | subs = re.sub(r'(\n\s*)+', "\n", subs) 53 | 54 | f = music_tag.load_file(outputFilePrefix+".mp3") 55 | 56 | if(EMBED_SUBS): 57 | f["lyrics"] = subs 58 | 59 | if(coverImagePath): 60 | with open(coverImagePath, 'rb') as img_in: 61 | f["artwork"] = img_in.read() 62 | 63 | f.save() 64 | 65 | async def createTTSFromText(text: str, outputPath: str, coverImagePath = None, embedSubtitles = False): 66 | _readConfig() 67 | 68 | if(os.path.isfile(outputPath)): os.remove(outputPath) 69 | 70 | communicate = edge_tts.Communicate(text, VOICE_NAME) 71 | subFile = open(os.path.dirname(outputPath)+"/subs.txt", "a+", encoding="utf-8") 72 | submaker = edge_tts.SubMaker() 73 | 74 | with open(outputPath, "ab") as ttsFile: 75 | async for chunk in communicate.stream(): 76 | if(chunk["type"] == "audio"): 77 | ttsFile.write(chunk["data"]) 78 | elif(chunk["type"] == "WordBoundary"): 79 | submaker.create_sub((chunk["offset"], chunk["duration"]), chunk["text"]) 80 | 81 | subs = submaker.generate_subs() 82 | subs = subs.replace("""WEBVTT""", "") 83 | subs = re.sub("[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{3} --> [0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{3}", "", subs) 84 | subs = re.sub(r'(\n\s*)+', "\n", subs) 85 | 86 | subFile.write(f"{subs}\n") 87 | subFile.close() 88 | 89 | # Add ID3 tags 90 | f = music_tag.load_file(outputPath) 91 | if(embedSubtitles): f["lyrics"] = subs 92 | if(coverImagePath): 93 | with open(coverImagePath, 'rb') as img_in: 94 | f["artwork"] = img_in.read() 95 | 96 | f.save() -------------------------------------------------------------------------------- /src/utils/twoSecondSilence.py: -------------------------------------------------------------------------------- 1 | import binascii 2 | 3 | """ 4 | Get the raw bytes for the file https://github.com/anars/blank-audio/blob/master/2-seconds-of-silence.mp3 5 | 6 | NOTE -> This is a ridiculous way to extract data. But, I didn't want to include the file as a resource 7 | """ 8 | def getFileBytes(): 9 | xxdDump = """49443304000000021805544954320000001500000032205365636f6e6473 10 | 206f662053696c656e63655450453100000012000000416e617220536f66 11 | 7477617265204c4c4354414c420000000c000000426c616e6b2041756469 12 | 6f4150494300020f02000000696d6167652f6a70656700030089504e470d 13 | 0a1a0a0000000d4948445200000438000004380806000000ec106c8f0000 14 | 0006624b474400ff00ff00ffa0bda79300000009704859730000083d0000 15 | 083d01059555b60000000774494d4507df0a0b051c31036f047600002000 16 | 4944415478daecdd7b945565dd07f0df300c3701012f28ea8089572c53b0 17 | 34b1a2326f81562ade354d5108336995a6a6a879ebe22d35afa4af809acb 18 | d4340d0d4359bd967929bca46472d11004811161b88cf3fed15b0b9c9973 19 | ce9e3967e63c339fcf5aef7a6bef673f7befdfb3cf70ceb767ef5d1111f5 20 | 0100000090b04e4a00000000a44ec001000000244fc001000000244fc001 21 | 000000244fc001000000244fc001000000244fc001000000244fc0010000 22 | 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fcbfffcbdce445d6f3ff9effe318c4e20a6b621c10008d4d7e7ab3ff14ec 1236 | 7f75949d49fa923d66f1307b671e4f0155595c96483e2f95170751a4408a 1237 | 84c414da17bcbd73813c3ce709feca87839f1a996e65efffe318c4f30ec3 1238 | 5e100800532cf9fec2eea519316deb5ad49eb8510c2c8c9923844113e4a8 1239 | c422e2c4658c01c4a85720a7ac4d310604c7ff315a7f8320b18b66ee64f2 1240 | 3afe72fe7fffe318c4f30db36a1c10005348f3d4adf389dc9a932880b944 1241 | 2a878d38e96d8a0424407120408da21422048a035a7646cd1625892a0547 1242 | f244f2a2e7a6e82cc8e48f3330338c8907ffe318c4f70d5b6a1c10005348 1243 | 7eab95ffa6f521972f0b0c74ed1f8e68e167cc09056365ca8ac7232b407a 1244 | b5751d2b949c2e96cc44b32108d5a76a0793fbd06673445d2e7ed59176ff 1245 | e318c4fc0d236220180059494622f47ffff2ec6bdff4bec6f3607f54d408 1246 | 575c4c48449a5d0a264e235174497442ea28d0f449a90d0947e8d0e17ac6 1247 | 40ce7ae475fffe5d9cacc3ffe318c4ff0e33621c100053494d6edf559669 1248 | 94cd315d58e3cc9d2f121135012f58d82ab6e708476db03c0dcece9dba62 1249 | 0a6a2aaa00c5c2c7cdc9851e877f05039c3f24ce5c66efffe318c4ff0ea3 1250 | 5e1c180053495fe7e176ab16d7e395eae358a912a619192e66f83a1319b3 1251 | e7d19d9bfd917995d5201755bc9d1b0742d2f755fede47f2bb58afa22958 1252 | ca8f2b833bffe318c4ff10136a1c18005948a1d9a8311102c523b9d4c577 1253 | 629e88142196c55b2cdb3b17f5d7c72ffbaa7d5da72eb78cd741947e2f48 1254 | 9d736c283e98a454dbd43cd9a0b60d2634ffe318c4f90d6b621c10005349 1255 | 75ee1f9fefd7cfed32ffbf1ffffffefffbf2b61baa664bcd7fd7cedcc9d0 1256 | 9766d12cc29275ee90879a3caa14715d2949ffaebfbb04791613b15eb9ff 1257 | e318c4fe0d2b6a2418005964d3fffcbfdaacba8e3550c6a50f1b425fa491 1258 | 88c4d85c8ca1429b24334e852322122325c05b645486952949e9d9c11b9c 1259 | e799d70d9cd99201959545ffe318c4ff0f8b6a181800594844fa7ffefb38 1260 | ff5539ca979ad3f2dc4d0a183dd534cf0ae19d864d983afb138a8509922a 1261 | 9de9882a027fec5e79b23275f2c8425320949991ab5095ffe318c4fb1303 1262 | 6a08000093108577c8f23ffff2fb4fcf7518abdeb5356b4d44926e5678b9 1263 | 64a998aee992bc4aaa56b8b0b940d4ed9fffffffffcecfe77e4684c25326 1264 | 1c984d7f09ffe318c4ea0af362200800534b3091d87342351108d7f34230 1265 | 908986cecfffff7ca796ae7168d579cac3964540c9849489c91b252444cc 1266 | fa88a3c25894aa4c414d45332e39382e32ffe318c4f90d536a2818005348 1267 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 1268 | aaaaaaaaaaaaaaaaaaaa4c414d45332e39382e32aaaaaaaaaaaaaaaaaaff 1269 | e318c4fe0ddb5e2418005348aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 1270 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 1271 | aaaaaaaaaaaaaaaaaaaaaaffe318c4ff0eab5e101000532caaaaaaaaaaaa 1272 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 1273 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaffe318c4ff10cb 1274 | 65dc00004cbcaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 1275 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 1276 | aaaaaaaaaaffe318c4f60000034800000000aaaaaaaaaaaaaaaaaaaaaaaa 1277 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 1278 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa54414732205365636f6e647320 1279 | 6f662053696c656e636500000000000000000000416e617220536f667477 1280 | 617265204c4c4300000000000000000000000000426c616e6b2041756469 1281 | 6f0000000000000000000000000000000000000000000000000000000000 1282 | 000000000000000000000000000000000000000000000000ff 1283 | """ 1284 | 1285 | xxdDump = xxdDump.replace("\n", "") 1286 | return binascii.unhexlify(xxdDump) --------------------------------------------------------------------------------