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Нейросеть мне в помощь или как я сделал телеграм бота, который умеет переводить песни

Однажды, когда я искал эффективное решение для преобразования речи в текст (транскрибации), чтобы применить его в своем проекте умной колонки, обнаружил интересное решение под названием Whisper от широко известной компании Open AI. К сожалению, Whisper не подошел для реализации в моем проекте по «аппаратным» причинам, но его функционал отпечатался в моей душе. Прошло время и меня посетила идея: «Почему бы не разработать телеграмм бота, куда бы пользователь мог отправлять аудиофайл, а в ответ получал текстовую расшифровку и перевод (песни) на родной язык». В этой статье я расскажу о реализации данной идеи и Whisper в этом проекте займет одну из ключевых функций.

❯ Чем же меня так впечатлил Whisper?

Во первых, что такое Whisper?

Whisper — это универсальная модель распознавания речи. Она обучена на большом наборе данных разнообразной аудиоинформации и является многофункциональной моделью, способной выполнять мультиязычное распознавание речи, перевод речи и идентификацию языка.

Ну и само название модели «Whisper» переводится как шепот, что само по себе намекает о качестве распознавания речи.

Чтобы не быть голословным, давайте запустим базовый пример использования и посмотрим вывод:

import whisper
model = whisper.load_model("base")

# load audio and pad/trim it to fit 30 seconds
audio = whisper.load_audio("audio.mp3")
audio = whisper.pad_or_trim(audio)

# make log-Mel spectrogram and move to the same device as the model
mel = whisper.log_mel_spectrogram(audio).to(model.device)

# detect the spoken language
_, probs = model.detect_language(mel)
print(f"Detected language: {max(probs, key=probs.get)}")

# decode the audio
options = whisper.DecodingOptions()
result = whisper.decode(model, mel, options)

# print the recognized text
print(result)

В результате выполнения скрипта мы получим следующий вывод в формате json:

{'text': ' Солнечное излучение (большой текст обрезал).',
 'segments': [
{'id': 0, 'seek': 0, 'start': 0.0, 'end': 4.84, 'text': ' Солнечное излучение является одним из самых мощных источников энергии в Селенной.', 'tokens': [50364, 2933, 20470, 4310, 6126, 3943, 41497, 5627, 29755, 50096, 3943, 37241, 39218, 5783, 12410, 20483, 22122, 40804, 7347, 740, 2933, 21180, 5007, 13, 50606], 'temperature': 0.0, 'avg_logprob': -0.1954750242687407, 'compression_ratio': 2.0371621621621623, 'no_speech_prob': 0.0006262446404434741},
{'id': 1, 'seek': 0, 'start': 4.84, 'end': 8.4, 'text': ' Оно поступает на Землю в виде видимого и инфракрасного света,', 'tokens': [50606, 3688, 1234, 43829, 3310, 1470, 42604, 6578, 740, 12921, 38273, 2350, 1006, 6635, 3619, 481, 1272, 17184, 4699, 4155, 20513, 11, 50784], 'temperature': 0.0, 'avg_logprob': -0.1954750242687407, 'compression_ratio': 2.0371621621621623, 'no_speech_prob': 0.0006262446404434741},
{'id': 2, 'seek': 0, 'start': 8.4, 'end': 10.56, 'text': ' а также в виде космических лучей.', 'tokens': [50784, 2559, 16584, 740, 12921, 31839, 919, 38911, 15525, 2345, 13, 50892], 'temperature': 0.0, 'avg_logprob': -0.1954750242687407, 'compression_ratio': 2.0371621621621623, 'no_speech_prob': 0.0006262446404434741}, 
{'id': 3, 'seek': 0, 'start': 10.56, 'end': 15.8, 'text': ' Солнечное излучение имеет мощность примерно в квадратный метр поверхности Земли.', 'tokens': [50892, 2933, 20470, 4310, 6126, 3943, 41497, 5627, 33761, 39218, 9930, 37424, 740, 35350, 2601, 11157, 4441, 18791, 481, 44397, 13975, 42604, 1675, 13, 51154], 'temperature': 0.0, 'avg_logprob': -0.1954750242687407, 'compression_ratio': 2.0371621621621623, 'no_speech_prob': 0.0006262446404434741},
{'id': 4, 'seek': 0, 'start': 15.8, 'end': 19.44, 'text': ' Это достаточно для производства электроэнергии и других применений.', 'tokens': [51154, 6684, 28562, 5561, 28685, 12115, 31314, 9938, 7570, 489, 19480, 7347, 1006, 31211, 31806, 1008, 17271, 13, 51336], 'temperature': 0.0, 'avg_logprob': -0.1954750242687407, 'compression_ratio': 2.0371621621621623, 'no_speech_prob': 0.0006262446404434741}
], 'language': 'ru'}

Как можно видеть из содержания вывода, Whisper выводит довольно информативный результат транскрибации, с разбивкой текста на сегменты и указанием временных меток, языка и другой информации. Используя эту информацию, мы можем сформировать удобный и красивый текстовой файл расшифровки аудио.

❯ Улучшения приходят в процессе творчества

Изначально планировалось реализовать только текстовую расшифровку аудиофайла(песни), но потом мелькнула мысль: «Почему бы не реализовать перевод текста, отличного от родного языка? Ведь так можно узнать смысл любимой песни всего за пару минут.»
Для реализации этой идеи, я решил пойти простым путём: использовать API сервисов онлайн переводчиков. К сожалению, а может и к счастью, это была моя ошибка, ввиду ограничения запросов на данные API. Ну что ж, подумал я, меньше внешних сервисов — больше свободы, будем использовать локальные алгоритмы перевода на базе нейронных сетей.

❯ Оффлайн перевод с помощью нейронных сетей

Трансформеры нам помогут! Не долго размышляя, решил использовать библиотеку Transformers, которая позволяет применять в своих проектах большое количество моделей, полный список можно посмотреть на сайте проекта.

Для оффлайн перевода будем использовать модели Helsinki-NLP от Группы исследований языковых технологий Хельсинкского университета.

Пример Python скрипта для оффлайн перевода:

from transformers import pipeline
import torch

device = "cuda:0" if torch.cuda.is_available() else "cpu"
torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
# устанавливаем количество потоков для torch
torch.set_num_threads(4)
#Перевод с любого языка на английский
translator   = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en")
text         = "Какой-то текст на любом языке"
translation  = translator(text)
print(translation[0]['translation_text'])

В примере указан мультиязычный перевод на английский. К сожалению, у Helsinki-NLP нет мультиязычных моделей с переводом на русский язык, поэтому воспользуемся трюком большинства генеративных ИИ и применим двойной перевод, то есть в нашем случае, с английского языка на русский, используя модель Helsinki-NLP/opus-mt-en-ru.

❯ Ну что ж, давайте собирать бота

Учитывая все свои размышления по функциональности бота, получился следующий результат, для удобного восприятия кода, я разделил скрипт на несколько файлов:

Главный скрипт, отвечающий за работу бота tg_bot.py

import neural_process
import file_process
import config
from telegram import ForceReply, Update
from telegram.ext import Application, CommandHandler, MessageHandler, filters, CallbackContext, ContextTypes


# Функция, которая вызывается при отправке файла
async def handle_file(update: Update, context: CallbackContext):
    audio = update.message.audio
    print(audio.mime_type)
    # Сохраняем аудиофайл локально и получаем путь сохранения
    file = await context.bot.get_file(audio.file_id)
    f_name = audio.file_name
    local_file_path = file_process.save_audio_file(f_name, file.file_path)
    # Отправляем сообщение о успешном сохранении аудиофайла
    await update.message.reply_text(
        f"Подождите немного, я в ускоренном темпе прослушаю аудиофайл {f_name} и отправлю вам текстовую "
        f"расшифровку с переводом."
    )
    # проверяем файл на длительность
    status = True
    status_dur = True
    try:
        file_dur = file_process.file_duration_check(local_file_path)
        if file_dur > 600:
            status_dur = False
    except Exception as e:
        print(f"Возникла ошибка: {e}")
        status_dur = False

    # Получаем перевод

    trance_text = 'в эту переменную сохраняется текст транскрибации с переводом'
    if status_dur:
        try:
            start_time = time.time()
            trance_text = neural_process.final_process(local_file_path, f_name)
        except Exception as e:
            print(f"Возникла ошибка: {e}")
            status = False
    else:
        status = False
        await update.message.reply_text(
            f"Сожалею, но возникла ошибка обработки файла. Длительность файла не должна превышать десять минут."
        )

    if status:
        # Сохраняем вывод в текстовый файл
        tx_file_path = file_process.save_text_to_file(f_name, trance_text)
        end_time = time.time()
        process_time = round(end_time - start_time, 2)
        await update.message.reply_text(
            f"Перевод готов! Ловите файл с переводом. Затраченное время: {process_time} сек.  "
        )
        # Отправляем текстовый файл
        with open(tx_file_path, "rb") as document:
            await context.bot.send_document(chat_id=update.message.chat_id, document=document)

    else:
        file_process.delete_file(local_file_path)
        if status_dur:
            await update.message.reply_text(
                f"Сожалею, но возникла ошибка обработки файла. Пожалуйста, убедитесь что файл имеет правильный аудиоформат."
            )

# Функция для команды /start
async def start(update: Update, context: CallbackContext) -> None:
    await update.message.reply_text(
        'Привет! Добро пожаловать! Нравится песня, но ты не знаешь о чем она? Я могу перевести песню с любого языка '
        'на русский за считанные секунды, просто скинь аудио файл в чат. ')


# Функция для команды / help
async def help_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
    """Send a message when the command /help is issued."""
    user = update.effective_user
    await update.message.reply_html(
        rf"{user.mention_html()}, я могу перевести песню с любого языка на русский, просто скинь аудио файл в чат.",
        reply_markup=ForceReply(selective=False),
    )

# Запускаем бота
def main():
    # Токен  бота
    application = Application.builder().token(config.tg_key).build()
    # Регистрируем обработчик для команды /start
    application.add_handler(CommandHandler("start", start))
    application.add_handler(CommandHandler("help", help_command))
    # Регистрируем обработчик для приема файлов
    application.add_handler(MessageHandler(filters.AUDIO, handle_file))
    # Запускаем бота
    application.run_polling()
    # Останавливаем бота при нажатии Ctrl+C
    application.idle()


if __name__ == '__main__':
    main()

Скрипт для работы с файлами file_process.py

import requests
import os
from pydub.utils import mediainfo


def delete_file(file_path):
    try:
        os.remove(file_path)
        print(f"Файл {file_path} успешно удален.")
    except FileNotFoundError:
        print(f"Файл {file_path} не найден.")
    except Exception as e:
        print(f"Произошла ошибка при удалении файла {file_path}: {e}")


def save_audio_file(file_name, file_link):
    response = requests.get(file_link)
    # Сохраняем аудиофайл локально для последующей обработки
    sound_folder = 'sound'
    local_file_path = f"{sound_folder}/{file_name}"

    if not os.path.exists(sound_folder):
        # Если папки нет, создаем её
        os.makedirs(sound_folder)

    with open(local_file_path, 'wb') as local_file:
        local_file.write(response.content)
    return local_file_path


def save_text_to_file(file_name, trance_text):
    text_folder = 'output'
    local_file_path = f"{text_folder}/{file_name.replace('.', '_') + '.txt'}"

    if not os.path.exists(text_folder):
        # Если папки нет, создаем её
        os.makedirs(text_folder)
    # Сохраняем вывод в текстовый файл
    with open(local_file_path, "w", encoding="utf-8") as output_file:
        output_file.write(trance_text)

    return local_file_path


def file_duration_check(file_path):
    audio_info = mediainfo(file_path)
    duration = float(audio_info['duration'])
    print(duration)
    return duration

Скрипт для работы с нейросетями neural_process.py

from transformers import pipeline
import torch
import whisper
import file_process

device = "cuda:0" if torch.cuda.is_available() else "cpu"
torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
# устанавливаем количество потоков для torch
torch.set_num_threads(4)


def sound_to_text(audios):
    model = whisper.load_model("base")
    # load audio and pad/trim it to fit 30 seconds
    audio = whisper.load_audio(audios)
    audio = whisper.pad_or_trim(audio)
    # make log-Mel spectrogram and move to the same device as the model
    mel = whisper.log_mel_spectrogram(audio).to(model.device)
    # detect the spoken language
    _, probs = model.detect_language(mel)
    lang = max(probs, key=probs.get)
    print(f"Detected language: {max(probs, key=probs.get)}")
    # decode the audio
    result = model.transcribe(audios, fp16=False, language=lang)
    print(result)
    return result['segments'], lang


def final_process(file, file_name):
    print(f"Сохранен в директории: {file}")
    raw, detected_lang = sound_to_text(file)
    translator = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en")
    translator2 = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ru")
    text = f"Перевод аудиофайла: {file_name} \n"
    text += f"В файле используется {get_language_name(detected_lang)} язык. \n"
    for segment in raw:
        text += "-------------------- \n"
        text += f"ID элемента: {segment['id']} Начало: {int(segment['start'])} --- Конец: {int(segment['end'])} \n"
        text += f"Исходный текст:{segment['text']} \n"
        if detected_lang == 'en':
            text_en = segment['text']
            translation2 = translator2(text_en)
            text += f"Перевод: {translation2[0]['translation_text']} \n"
        elif detected_lang == 'ru':
            text += ""
        else:
            translation = translator(segment['text'])
            text_en = translation[0]['translation_text']
            translation2 = translator2(text_en)
            text += f"Перевод: {translation2[0]['translation_text']} \n"

    file_process.delete_file(file)
    print(text)
    return text


def get_language_name(code):
    languages = {
        'ru': 'русский',
        'en': 'английский',
        'zh': 'китайский',
        'es': 'испанский',
        'ar': 'арабский',
        'he': 'иврит',
        'hi': 'хинди',
        'bn': 'бенгальский',
        'pt': 'португальский',
        'fr': 'французский',
        'de': 'немецкий',
        'ja': 'японский',
        'pa': 'панджаби',
        'jv': 'яванский',
        'te': 'телугу',
        'ms': 'малайский',
        'ko': 'корейский',
        'vi': 'вьетнамский',
        'ta': 'тамильский',
        'it': 'итальянский',
        'tr': 'турецкий',
        'uk': 'украинский',
        'pl': 'польский',
    }
    return languages.get(code, 'неизвестный язык')

Для запуска скрипта, нам необходимо установить следующие пакеты, используя команду:

pip install transformers, torch, accelerate, sentencepiece, sacremoses, python-telegram-bot, openai-whisper, pydub

❯ Деплоим бота

Чтобы всё заработало, не деплойте по пятницам.

Наш телеграмм бот, который работает с использованием алгоритмов ML, достаточно требователен к аппаратным ресурсам. Да, вы можете его использовать на своем ПК, но целесообразнее использовать облачные сервисы для подобных целей. Для размещения своего телеграмм бота, я решил воспользоваться облачной инфраструктурой от компании Timeweb Cloud. Итак, приступим к созданию нашего облачного сервиса.

Для создания нашего облачного сервиса, нам необходимо войти в панель управления под вашей учетной записью. Если учетная запись не создана, то регистрация учетной записи займет всего пару кликов. Я, например, для регистрации и авторизации воспользовался аккаунтом Google.
Создаем новый сервис, выбираем пункт «Облачный сервер»:

Далее нам предстоит выбрать операционную систему для нашего сервера, я выбрал Debian 11:

Выбираем расположение нашего сервера:

Выбираем конфигурацию сервера, как видно на изображении, для начальных тестов я выбрал конфигурацию с четырьмя ядрами CPU и 8 ГБ оперативной памяти:

Вот и все основные опции, которые нам нужны для создания сервера, остальные опции выбираете/указываете по желанию. Чтобы создать сервер, необходимо нажать кнопку «Заказать», которая располагается справа.

Процесс создания сервера:

Сервер создан:

После успешного создания сервера, перейдя в дашборд, с правой стороны вы увидите параметры для удаленного подключения к созданному серверу:

Всё выполняется очень быстро, на создание сервера ушло пару минут.

❯ Подключаемся, настраиваем сервер для размещения бота

Далее мы будем использовать терминал для подключения к нашему облачному сервису.
Запускаем терминал и подключаемся к нашему серверу, после подключения нам необходимо проверить и установить доступные обновления:

apt-get update & upgrade

Запускать скрипты с root правами — как минимум, это дурной тон, поэтому создаем нового пользователя с именем tg_bot:

adduser tg_bot

и пропишем его в группу sudo:

usermod -aG sudo tg_bot

Затем нам нужно выйти из учетной записи root и подключиться под новым пользователем tg_bot, и далее все операции мы будем выполнять под этой учетной записью.

Проверим обновления Python3 и установим, если имеются:

sudo apt update
sudo apt install python3

Установим менеджер пакетов:

sudo apt install python3-pip

Так как мы работаем с медиафайлами, нам необходимо установить набор библиотек FFmpeg:

sudo apt install ffmpeg

Для оценки производительности, на всякий случай установим системный монитор htop:

sudo apt install htop

Устанавливаем необходимые зависимости, для работы нашего бота:

pip install transformers, torch, accelerate, sentencepiece, sacremoses, python-telegram-bot, openai-whisper, pydub

Создаем рабочую директорию для нашего бота:

mkdir tg_bot_scripts

Затем переходим в созданную директорию, с помощью команды:

cd tg_bot_scripts

Далее нам нужно создать файлы Python нашего бота, с помощью команд:

nano tg_bot.py

В открывшемся текстовом редакторе вставляем код из статьи и сохраняем, аналогично поступаем и с другими файлами.

nano neural_process.py

nano file_process.py

nano config.py

файл config.py содержит только одну переменную, которая содержит секретный ключ телеграм-бота.

tg_key = 'Ваш секретный ключ'

Или можно воспользоваться альтернативным способом, клонировав код моего репозитория GitHub.

Чтобы это реализовать, нам нужно установить Git:

 sudo apt install git

После установки Git, выполнить следующую команду:

 git clone https://github.com/VGCH/music_translate_AI_bot

Далее нам необходимо переименовать созданную при клонировании Git репозитория папку music_translate_AI_bot с помощью команды:

 mv music_translate_AI_bot tg_bot_scripts

После этого важно не забыть добавить токен телеграмм бота:

 cd tg_bot_scripts
 nano config.py

Настало время тестового запуска, запустим нашего бота с помощью команды:

pyton3 tg_bot.py

Если бот запустился и работает нормально, то нам необходимо создать системный сервис для автоматического запуска нашего бота. Создадим файл нашего сервиса с помощью команды:

sudo nano /etc/systemd/system/AI_tg_bot.service

Копируем в открывшийся текстовый редактор следующее содержимое и сохраняем файл:

[Unit]
Description=My AI Bot service
After=network.target

[Service]
WorkingDirectory=/home/tg_bot/tg_bot_scripts/
User=tg_bot
Type=simple
Restart=always
ExecStart=/usr/bin/python3 /home/tg_bot/tg_bot_scripts/tg_bot.py > /dev/null

[Install]
WantedBy=multi-user.target

Чтобы добавить созданный сервис в автозагрузку, используйте следующую команду:

 sudo systemctl enable AI_tg_bot.service

Чтобы запустить сервис используйте команду:

 sudo systemctl start AI_tg_bot.service

Чтобы остановить:

 sudo systemctl stop AI_tg_bot.service

❯ Изменение конфигурации сервера

В процессе отладки бота, я решил изменить конфигурацию своего облачного сервера с четырехъядерного CPU на восьмиядерный. Захожу в панель управления Timeweb Cloud, выбрав свой сервер, перехожу на вкладку «конфигурация»:

И выбираю необходимую конфигурацию:

Менее минуты и сервер с новой конфигурацией в работе. Еще мне понравилось то, что оплата облачного сервера выполняется только за фактические часы работы и вы в любой момент можете изменить конфигурацию, без необходимости вноса оплаты за месяц вперед. В панели управления вы можете видеть ваш текущий баланс и дату окончания средств при текущей конфигурации сервера (или серверов).

При изменении количества ядер CPU на облачном сервере, так же необходимо в скрипте обработки neural_process.py изменить количество потоков для torch, в моем случае на восемь.

torch.set_num_threads(8)

После изменения конфигурации сервера, можно понаблюдать нагрузку при обработке аудиофайла нашим телеграмм ботом с помощью команды:

htop

❯ Заключение

В итоге у нас получился интересный эксперимент реализации телеграм-бота с применением алгоритмов машинного обучения для распознавания речи и перевода текста.
Спасибо вам за уделенное время и внимание. Есть вопросы, критика, осуждение? Добро пожаловать в комментарии. :)

Небольшой бонус к статье. Переводы песен с помощью созданного бота

Перевод аудиофайла: Lana Del Rey West Coast.mp3
В файле используется английский язык.
—
ID элемента: 16 Начало: 99 — Конец: 103
Исходный текст: Who baby, who baby, I'm in love
Перевод: Кто, детка, я влюблен.
—
ID элемента: 17 Начало: 103 — Конец: 113
Исходный текст: I'm in love
Перевод: Я влюблен.
—
ID элемента: 18 Начало: 113 — Конец: 123
Исходный текст: Don't know the west coast, they got their icons
Перевод: Не знаю западного побережья, у них есть иконы.
—
ID элемента: 19 Начало: 123 — Конец: 127
Исходный текст: They serve as others, their queens are psychons
Перевод: Они служат как другие, их королевы — психи.
—
ID элемента: 20 Начало: 127 — Конец: 132
Исходный текст: You, good to music, you, good to music and you
Перевод: Ты, хорош в музыке, ты, хорош в музыке и ты
—
ID элемента: 21 Начало: 132 — Конец: 134
Исходный текст: Don't you
Перевод: А ты нет?
—
ID элемента: 22 Начало: 134 — Конец: 139
Исходный текст: Don't know the west coast, they love their movies
Перевод: Не знаю западного побережья, они обожают свои фильмы.
—
ID элемента: 23 Начало: 139 — Конец: 142
Исходный текст: They're golden-guzzing, rocking all copies
Перевод: Они хвастаются золотом, раскачивают все копии.
—
ID элемента: 24 Начало: 142 — Конец: 147
Исходный текст: And you, good to music, you, good to music and you
Перевод: А ты, хорош в музыке, ты, хорош в музыке и ты
—
ID элемента: 25 Начало: 147 — Конец: 149
Исходный текст: Don't you
Перевод: А ты нет?
—

Перевод аудиофайла: Edis-Banane.mp3
В файле используется турецкий язык.
—
ID элемента: 0 Начало: 0 — Конец: 1
Исходный текст: Alo.
Перевод: Привет.
—
ID элемента: 1 Начало: 2 — Конец: 3
Исходный текст: Bir şey söyle.
Перевод: Скажи что-нибудь.
—
ID элемента: 2 Начало: 6 — Конец: 7
Исходный текст: Bir şey söylemek istemiyorum.
Перевод: Я не хочу ничего говорить.
—
ID элемента: 3 Начало: 8 — Конец: 9
Исходный текст: Peki o zaman.
Перевод: Ну что ж.
—
ID элемента: 4 Начало: 30 — Конец: 32
Исходный текст: Bala ne dediğimi soracak olamazsın.
Перевод: Ты не можешь спросить моего отца, что я сказал.
—
ID элемента: 5 Начало: 32 — Конец: 33
Исходный текст: Hayır.
Перевод: Нет, нет, нет.
—
ID элемента: 6 Начало: 33 — Конец: 36
Исходный текст: Bir sebebim yok artık kalamam mı?
Перевод: У меня больше нет причин?
—
ID элемента: 7 Начало: 36 — Конец: 37
Исходный текст: Hayır.
Перевод: Нет, нет, нет.
—
ID элемента: 8 Начало: 40 — Конец: 42
Исходный текст: Ki göz dilimi.
Перевод: Вот об этом я и говорю.
—
ID элемента: 9 Начало: 42 — Конец: 43
Исходный текст: Bu ne?
Перевод: Что это?
—

Продемонстрирована только часть перевода, более информативная, чтобы не раздувать и так большую статью.

Полезные ссылки:

Облачные сервисы Timeweb Cloud — это реферальная ссылка, которая может помочь поддержать меня и мои проекты.
Мой GitHub с исходным кодом проекта.

Возможно, захочется почитать и это:

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23 нояб. 2023 г.

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14.10.25 01:15 tyleradams

Hi. Please be wise, do not make the same mistake I had made in the past, I was a victim of bitcoin scam, I saw a glamorous review showering praises and marketing an investment firm, I reached out to them on what their contracts are, and I invested $28,000, which I was promised to get my first 15% profit in weeks, when it’s time to get my profits, I got to know the company was bogus, they kept asking me to invest more and I ran out of patience then requested to have my money back, they refused to answer nor refund my funds, not until a friend of mine introduced me to the NVIDIA TECH HACKERS, so I reached out and after tabling my complaints, they were swift to action and within 36 hours I got back my funds with the due profit. I couldn’t contain the joy in me. I urge you guys to reach out to NVIDIA TECH HACKERS on their email: [email protected]
14.10.25 08:46 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
14.10.25 08:46 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
14.10.25 08:46 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
15.10.25 18:07 crypto

Cryptocurrency's digital realm presents many opportunities, but it also conceals complex frauds. It is quite painful to lose your cryptocurrency to scam. You can feel harassed and lost as a result. If you have been the victim of a cryptocurrency scam, this guide explains what to do ASAP. Following these procedures will help you avoid further issues or get your money back. Communication with Marie ([email protected] and WhatsApp: +1 7127594675) can make all the difference.
15.10.25 21:52 harristhomas7376

"In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
15.10.25 21:52 harristhomas7376

"In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1