feat(voice): transcribe Telegram voice notes with SpeechRecognition
Add a voice message handler that downloads OGG audio, converts it to WAV via pydub/ffmpeg, and transcribes it with Google Speech Recognition (pt-BR) before feeding the text into the normal message pipeline. Also extract shared text processing into process_text_message, guard against updates without a text attribute, switch the default AI provider to openrouter with deepseek-v4-flash, and document the ffmpeg system requirement in DEPLOY.md.
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"""
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"""
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import logging
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converter_logger = logging.getLogger("pydub.converter")
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def log_conversion(conversion_command):
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converter_logger.debug("subprocess.call(%s)", repr(conversion_command))
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def log_subprocess_output(output):
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if output:
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for line in output.rstrip().splitlines():
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converter_logger.debug('subprocess output: %s', line.rstrip())
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