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```python
# AI Dev Tool: OpenAI Hugging Face Integration Wrapper
# ===============================================
# A production-ready API integration wrapper for OpenAI and Hugging Face models

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

# Initialize the FastAPI app
app = FastAPI()

# Define the request and response models
class RequestModel(BaseModel):
    """Request model for the OpenAI Hugging Face integration"""
    text: str
    model_name: str

class ResponseModel(BaseModel):
    """Response model for the OpenAI Hugging Face integration"""
    result: str

# Load the Hugging Face models and tokenizers
models: Dict[str, AutoModelForSequenceClassification] = {}
tokenizers: Dict[str, AutoTokenizer] = {}

def load_model(model_name: str):
    """Load a Hugging Face model and tokenizer"""
    try:
        models[model_name] = AutoModelForSequenceClassification.from_pretrained(model_name)
        tokenizers[model_name] = AutoTokenizer.from_pretrained(model_name)
    except Exception as e:
        raise HTTPException(status_code=500, detail

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