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from sentence_transformers import SentenceTransformer
import time
import duckdb
import numpy as np
from concurrent.futures import ThreadPoolExecutor
import os

MODEL_NAME = 'sentence-transformers/all-mpnet-base-v2'
BATCH_SIZE = 1942
DEVICE = "cuda"

jc4p

from sentence_transformers import SentenceTransformer
import time
import duckdb
import numpy as np
from concurrent.futures import ThreadPoolExecutor
import os
import argparse
import glob
import sys

jc4p

jc4p

import { generatePrivateKey, privateKeyToAccount, english, generateMnemonic, mnemonicToAccount } from 'viem/accounts';
import { writeFileSync } from 'fs';

// Parse command line arguments
const args = process.argv.slice(2);
let name = null;
let useMnemonic = false;

for (let i = 0; i < args.length; i++) {
  if (args[i] === '--name' && args[i + 1]) {

jc4p

#!/usr/bin/env python3
"""
Classify Farcaster casts using Google Gemini Batch API.
Classifies each cast into one of 5 categories:
- Personal Life
- Spam
- App/Bot Interactions
- Crypto Content
- Not Enough Context To Tell
"""