Ты ответственное лицо, твоя задача сделать презентацию получившегося приложения для боса. Reply TERMINATE in the end when everything is done.
Your revised Telegram bot code looks well-structured and covers several important improvements for robustness and security. Below, I'll provide an enhanced version of your setup, implementing your suggestions and a few additional best practices:

```python
import os
import logging
from io import BytesIO
import telebot
import speech_recognition as sr
import requests
from PIL import Image

# Set up logging
logging.basicConfig(level=logging.INFO)

# Securely get the bot token from environment variables
bot_token = os.getenv('TELEGRAM_BOT_TOKEN')
if not bot_token:
    logging.error("Telegram bot token is not set in the environment variables.")
    exit(1)

bot = telebot.TeleBot(bot_token)

# Error handling decorators for managing asynchronous exceptions
def handle_async_exceptions(func):
    def wrapper(*args, **kwargs):
        try:
            return func(*args, **kwargs)
        except Exception as e:
            logging.error(f'Error with function {func.__name__}: {e}')
            raise e
    return wrapper

# Handle voice messages
@bot.message_handler(content_types=['voice'])
@handle_async_exceptions
def handle_voice(message):
    try:
        file_info = bot.get_file(message.voice.file_id)
        logging.info(f"Processing voice message: {file_info.file_path}")

        file = requests.get(f'https://api.telegram.org/file/bot{bot.token}/{file_info.file_path}')
        file.raise_for_status()
        
        recognizer = sr.Recognizer()
        with BytesIO(file.content) as file_obj:
            with sr.AudioFile(file_obj) as source:
                audio = recognizer.record(source)
                try:
                    text = recognizer.recognize_google(audio, language='ru-RU')
                    bot.reply_to(message, text)
                except sr.UnknownValueError:
                    bot.reply_to(message, "Не удалось распознать голос.")
                except sr.RequestError as e:
                    bot.reply_to(message, f"Ошибка сервиса распознавания: {e}")
    except requests.exceptions.RequestException as e:
        logging.error(f"Request error: {e}")
        bot.reply_to(message, f"Ошибка загрузки файла: {e}")

# Handle photo messages
@bot.message_handler(content_types=['photo'])
@handle_async_exceptions
def handle_photo(message):
    try:
        file_info = bot.get_file(message.photo[-1].file_id)
        logging.info(f"Processing photo message: {file_info.file_path}")

        file = requests.get(f'https://api.telegram.org/file/bot{bot.token}/{file_info.file_path}')
        file.raise_for_status()
        
        image = Image.open(BytesIO(file.content))
        # Modify the image processing to match desired functionality
        inverted_image = image.transpose(Image.FLIP_TOP_BOTTOM)
        
        with BytesIO() as output:
            inverted_image.save(output, format='JPEG')
            output.seek(0)
            bot.send_photo(message.chat.id, output)
    except requests.exceptions.RequestException as e:
        logging.error(f"Request error: {e}")
        bot.reply_to(message, f"Ошибка загрузки файла: {e}")
    except Exception as e:
        logging.error(f"Image processing error: {e}")
        bot.reply_to(message, f"Ошибка обработки изображения: {e}")

# Start the bot
logging.info("Bot starting...")
bot.polling(none_stop=True)
```

### Key Improvements:
1. **Logging**: Added logging at various levels (INFO, ERROR) to keep track of the bot’s activity and to aid in debugging.
2. **Environment Variables**: Emphasized the use of environment variables to securely handle the bot token.
3. **Error Handling**: Added a decorator for better structuring of error handling and logging.
4. **Code Structure**: Improved code readability and structure with more informative logging statements and consistent error management.

This setup is more robust and provides a concise way to track and diagnose issues. Remember to configure the logging according to your deployment environment to ensure logs are stored or displayed as needed.