├── src
├── utils
│ ├── __init__.py
│ ├── ffmpegWrapper.py
│ ├── tts.py
│ ├── scrapper.py
│ ├── Prettify.py
│ ├── configGenerator.py
│ └── twoSecondSilence.py
├── favicon.ico
├── build-command.txt
├── requirements.txt
└── libread-tool.py
├── screenshots
├── SR.gif
└── RSS.png
├── .gitignore
├── README.md
└── LICENSE
/src/utils/__init__.py:
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1 |
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/src/favicon.ico:
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https://raw.githubusercontent.com/Spectre-hidN/LibRead-Tool/HEAD/src/favicon.ico
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/screenshots/SR.gif:
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https://raw.githubusercontent.com/Spectre-hidN/LibRead-Tool/HEAD/screenshots/SR.gif
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/screenshots/RSS.png:
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https://raw.githubusercontent.com/Spectre-hidN/LibRead-Tool/HEAD/screenshots/RSS.png
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/src/build-command.txt:
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1 | pyinstaller --onefile --workpath "Temp/" --distpath "Build/" ./libread-tool.py --specpath "Temp/" -n "LibRead-Tool" -i "$pwd/favicon.ico"
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/src/requirements.txt:
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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 |
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/.gitignore:
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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 |
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/src/utils/ffmpegWrapper.py:
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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()
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/src/utils/tts.py:
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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()
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/README.md:
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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 | 
12 | 
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 |
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/src/utils/scrapper.py:
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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
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/src/utils/Prettify.py:
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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/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/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 |
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
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623 | How to Apply These Terms to Your New Programs
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650 | Also add information on how to contact you by electronic and paper mail.
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652 | If the program does terminal interaction, make it output a short
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671 | may consider it more useful to permit linking proprietary applications with
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673 | Public License instead of this License. But first, please read
674 | .
675 |
--------------------------------------------------------------------------------
/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 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
23 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
24 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
25 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
26 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
27 | c001000000244fc001000000244fc001000000244fc001000000244fc001
28 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
29 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
30 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
31 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
32 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
33 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
34 | c001000000244fc001000000244fc001000000244fc001000000244fc001
35 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
36 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
37 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
38 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
39 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
40 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
41 | c001000000244fc001000000244fc001000000244fc001000000244fc001
42 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
43 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
44 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
45 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
46 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
47 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
48 | c001000000244fc001000000244fc001000000244fc001000000244fc001
49 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
50 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
51 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
52 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
53 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
54 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
55 | c001000000244fc001000000244fc001000000244fc001000000244fc001
56 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
57 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
58 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
59 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
60 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
61 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
62 | c001000000244fc001000000244fc001000000244fc001000000244fc001
63 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
64 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
65 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
66 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
67 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
68 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
69 | c001000000244fc001000000244fc001000000244fc001000000244fc001
70 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
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72 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
73 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
74 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
75 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
76 | c001000000244fc001000000244fc001000000244fc001000000244fc001
77 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
78 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
79 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
80 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
81 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
82 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
83 | c001000000244fc001000000244fc001000000244fc001000000244fc001
84 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
85 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
86 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
87 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
88 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
89 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
90 | c001000000244fc001000000244fc001000000244fc001000000244fc001
91 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
92 | 00244fc001000000244fc001000000244fc001000000244fc00100000024
93 | 4fc001000000244fc001000000244fc001000000244fc001000000244fc0
94 | 01000000244fc001000000244fc001000000244fc001000000244fc00100
95 | 0000244fc001000000244fc001000000244fc001000000244fc001000000
96 | 244fc001000000244fc001000000244fc001000000244fc001000000244f
97 | c001000000244fc001000000244fc001000000244fc001000000244fc001
98 | 000000244fc001000000244fc001000000244fc001000000244fc0010000
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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)
--------------------------------------------------------------------------------