YouTube MCP Server

import os
import torch
import sys
import logging

class Config:
    # Directories
    TRANSCRIPTIONS_DIR = "transcriptions"
    # Models
    WHISPER_MODEL_NAME = "tiny"
    SILERO_REPO = "snakers4/silero-vad"
    SILERO_MODEL = "silero_vad"
    
    # Audio
    SAMPLING_RATE = 16000
    SEGMENT_PADDING_MS = 200 # Padding added to each segment
    
    # Concurrency
    MAX_WORKERS = 4
    
    @staticmethod
    def get_device() -> str:
        """Determines the best available device for inference."""
        if torch.backends.mps.is_available():
            return "mps"
        elif torch.cuda.is_available():
            return "cuda"
        return "cpu"

    @staticmethod
    def setup_logging(logger_name: str = "youtube-mcp-server") -> logging.Logger:
        logger = logging.getLogger(logger_name)
        if not logger.handlers:
            logging.basicConfig(
                level=logging.INFO,
                format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
                stream=sys.stderr
            )
        return logger