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```python
# AI Dev Tool: TurboKV FastAPI Pydantic v2 Micro-SaaS with StemDeck AI Integration
#=================================================================================================
# Description: A high-performance, production-ready Micro-SaaS boilerplate integrating 
#              TurboKV, FastAPI, Pydantic v2, and StemDeck AI for insanely fast key-value 
#              storage, AI-powered audio stem separation, and robust API management.
#
# Author: [Your Name]
# Date: [Today's Date]
#=================================================================================================

import os
import uvicorn
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from turbokv import TurboKV
from stemdeck import StemDeck

# Initialize TurboKV store
turbo_kv = TurboKV()

# Initialize StemDeck AI model
stem_deck = StemDeck()

# Define Pydantic models for API request and response
class AudioFile(BaseModel):
    """Audio file metadata"""
    filename: str
    content: bytes

class SeparatedStems(BaseModel):
    """Separated audio stems"""
    vocals: bytes
    instruments: bytes

# Create FastAPI application
app = FastAPI()

# Define API endpoint for uploading audio files
@app.post("/upload_audio")
async def upload

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