Привет! Вот мой исходный код:

from faster_whisper import WhisperModel

import os
import requests
import time
import json

from pydub import AudioSegment

def transcribe_audio_to_json(model, audio_file_path, model_size="large-v3"):
    # Load stereo audio file
    audio = AudioSegment.from_file(audio_file_path)

    # Split into two channels
    channels = audio.split_to_mono()

    # Initialize Whisper model
    # Lists to store transcriptions for left and right channels
    left_transcriptions = []
    right_transcriptions = []

    for i, channel in enumerate(channels):
        # Temporary file for each channel
        temp_audio_path = f"temp_channel_{i + 1}.wav"
        channel.export(temp_audio_path, format="wav")

        # Transcribe speech from the channel audio file
        segments, _ = model.transcribe(temp_audio_path, language="ru")

        # Collect results in dialogue format for each channel
        for segment in segments:
            transcription = {
                "channel": "left" if i == 0 else "right",
                "start": segment.start,
                "end": segment.end,
                "text": segment.text.strip()
            }
            if i == 0:
                left_transcriptions.append(transcription)
            else:
                right_transcriptions.append(transcription)

    # Sort transcriptions by start time
    left_transcriptions.sort(key=lambda x: x['end'])
    right_transcriptions.sort(key=lambda x: x['end'])

    # Add unique ID for each record
    for idx, transcription in enumerate(left_transcriptions):
        transcription["id"] = idx + 1

    for idx, transcription in enumerate(right_transcriptions):
        transcription["id"] = idx + 1

    # Return results as two separate JSON objects
    #return json.dumps(left_transcriptions, ensure_ascii=False, indent=4), json.dumps(right_transcriptions, ensure_ascii=False, indent=4)
    return left_transcriptions, right_transcriptions



def download_audio(url, save_folder, filename):
    # Ensure the save folder exists
    os.makedirs(save_folder, exist_ok=True)
    
    # Full path for the file to be saved
    file_path = os.path.join(save_folder, filename)

    try:
        # Send a GET request to the URL
        response = requests.get(url)
        
        # Check if the request was successful
        if response.status_code == 200:
            # Open the file in binary write mode and save the content
            with open(file_path, 'wb') as audio_file:
                audio_file.write(response.content)
            print(f"File saved successfully: {file_path}")
        else:
            print(f"Failed to download file, status code: {response.status_code}")
    except Exception as e:
        print(f"An error occurred: {e}")

def get_json_from_url(url):
    try:
        # Making a GET request to the specified URL
        response = requests.get(url)
        
        # Check if the request was successful
        if response.status_code == 200:
            # Parse the JSON data from the response
            json_data = response.json()
            return json_data  # Return the JSON data as a Python dictionary
        else:
            return 0
    except Exception as e:
        return 0


def trim_file_path(file_path, path_to_remove):
    # Remove the specified path from the file path
    trimmed_path = file_path.replace(path_to_remove, "")
    return trimmed_path

def check_url(url, model):
    
    save_folder = "./"
    filename = "audio.wav"
    model_size = "large-v3"

    while True:
        try:
            result = get_json_from_url(url+"/findf.php")
            # Проверяем статус-код ответа
            if result != 0:

                original_file_path = result["param"][0]["file_path"]
              
                # Path to remove
                path_to_remove = r"/home/bitrix/www/work_bitrix/recognize"

                # Trim the file path
                trimmed_file_path = trim_file_path(original_file_path, path_to_remove)

                download_audio(url+trimmed_file_path, save_folder, filename)

                # Пример использования функции
                
                result['left'], result['right'] = transcribe_audio_to_json(model, filename, model_size)
               

                # Send the POST request with the JSON data
                response = requests.post(url+"/index.php", json=result)

                # Print the response status code and content
                print("Status Code:", response.status_code)
            else:
                print(f"no data")
        except requests.exceptions.RequestException as e:
            print(f"wait")

        # Задержка на 60 секунд перед следующей проверкой
        time.sleep(60)


url = "https://k2group.su/work_bitrix/recognize"
model_size = "/home/user/whisper_model/rus2"
model = WhisperModel(model_size, device="cpu", compute_type="int8")

check_url(url, model)




Пожалуйста мне надо сделать чтобы я мог отправлять на распознование не вав файл, а буфер аудио - это faster_whisper:

Не переименовывать функции.
Не добавлять новых функций.
Не менять названия переменных.
Не менять структуру и логику кода (если не очень нужно).
Не вносить ничего лишнего.
Если не получится без изменений, спроси меня, пожалуйста.
комментарии в коде не удалять
Сделай исправленную версию, предоставь полный измененный код, не частями, комментарии к коду не требуются

Спасибо!