⚡ Live Sandbox: AI Dev Tool: Meta Muse Glimmer

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```python
# AI Dev Tool: Meta Muse Glimmer - Local Coding Model API Integration Wrapper
# Description: A production-ready API integration wrapper for Meta Muse Glimmer's 30B local coding model
# Category: API Integration Wrapper

import os
import json
from typing import Dict, List
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from transformers import AutoModelForCausalLM, AutoTokenizer

# Define the API app
app = FastAPI(
    title="Meta Muse Glimmer API Integration Wrapper",
    description="A production-ready API integration wrapper for Meta Muse Glimmer's 30B local coding model",
    version="1.0.0"
)

# Define the request and response models
class CodeRequest(BaseModel):
    """Request model for code generation"""
    prompt: str
    max_length: int = 1024
    num_return_sequences: int = 1

class CodeResponse(BaseModel):
    """Response model for code generation"""
    code: str

# Load the local coding model
model_name = "meta-muse-glimmer-30b"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from

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