⚡ Live Sandbox: AI Dev Tool: Usenet rewind archive search

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```python
# AI Dev Tool: Transformer Circuit Search Engine
# A production-ready CLI automation tool for searching Usenet rewind archives
# using a mathematical framework for transformer circuits

import os
import sys
import argparse
from typing import List, Dict
from pydantic import BaseModel
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from fastapi.requests import Request
from fastapi.middleware.cors import CORSMiddleware
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
import torch
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError

# Define the CLI arguments
class CliArgs(BaseModel):
    query: str
    num_results: int

# Define the search engine API
app = FastAPI()

# Enable CORS
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Load the transformer model and tokenizer
model_name = "t5-base"
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

# Define the search function
def search_us

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