feat: Implement core application structure, AI extraction, persistence, and Telegram bot modules with updated configuration and dependencies.

app/ingestion/audio.py

@@ -0,0 +1,29 @@
+"""
+Handles processing of audio inputs (e.g., voice memos).
+"""
+import logging
+
+logger = logging.getLogger(__name__)
+
+def process_audio_input(audio_data: bytes) -> str:
+    """
+    Placeholder for audio input processing.
+    This will eventually involve Speech-to-Text (STT) transcription.
+
+    Args:
+        audio_data: The raw bytes of the audio file.
+
+    Returns:
+        The transcribed text, or an empty string if failed.
+    """
+    logger.info("Processing audio input (stub).")
+    # In a real implementation, you would use a library like Whisper or a cloud service.
+    # For example:
+    # try:
+    #     result = openai.Audio.transcribe("whisper-1", io.BytesIO(audio_data))
+    #     return result['text']
+    # except Exception as e:
+    #     logger.error(f"Audio transcription failed: {e}")
+    #     return ""
+
+    return "Sample transcription from voice memo."