bexgboost BexTuychiev

I'll help you build a 4x4 tic-tac-toe game in Python with a clean terminal interface. Let me create a comprehensive plan for this project.

Project Plan: 4x4 Tic-Tac-Toe Game

	import asyncio
	from pyppeteer import launch
	import json


	async def scrape_quotes():
	browser = await launch(headless=True)
	page = await browser.newPage()
	await page.setViewport({"width": 1920, "height": 1080})

	from playwright.sync_api import sync_playwright
	import json

	with sync_playwright() as p:
	browser = p.chromium.launch(headless=True)
	page = browser.new_page(viewport={"width": 1920, "height": 1080})

	base_url = "https://quotes.toscrape.com/js/page/{}/"
	all_quotes = []

	from selenium import webdriver
	from selenium.webdriver.chrome.service import Service
	from selenium.webdriver.chrome.options import Options
	from selenium.webdriver.common.by import By
	from selenium.webdriver.support.ui import WebDriverWait
	from selenium.webdriver.support import expected_conditions as EC
	from webdriver_manager.chrome import ChromeDriverManager
	import json

	# Configure headless Chrome

	{
	"metadata": {
	"finetuned_checkpoint": "tinker://8f13c8d2-d406-4533-810a-268360972ff6/sampler_weights/fincot-checkpoint-400",
	"base_model": "qwen/qwen3-8b",
	"judge_model": "openai/gpt-4o",
	"total_questions": 10
	},
	"summary": {
	"avg_score_finetuned": 8.5,
	"avg_score_base": 6.5,

	"""
	Model Comparison Script: Fine-tuned Tinker Model vs Base Qwen3-8B
	Uses Kimi K2 Thinking as an unbiased judge to evaluate responses to financial questions.
	"""

	import os
	import json
	import time
	import requests
	from dotenv import load_dotenv

	"""
	Tinker Financial Q&A Fine-Tuning with FinCoT Dataset
	Uses chain-of-thought reasoning dataset for improved answer quality
	Includes validation tracking, warmup, and proper checkpoint management
	"""

	import time
	import numpy as np
	from dotenv import load_dotenv
	from datasets import load_dataset

	"""Multi-Model Comparison Chat: Kimi K2 Thinking, GPT-5, and Claude Sonnet 4.5 side-by-side"""

	import os
	import time
	from typing import Dict, List, Optional
	from concurrent.futures import ThreadPoolExecutor, as_completed
	from dotenv import load_dotenv
	import streamlit as st
	from openai import OpenAI
	from anthropic import Anthropic

	"""Multi-Model Comparison Chat: Qwen3, GPT-5, and Claude Sonnet 4.5 side-by-side"""

	import os
	import time
	from typing import Dict, List, Optional
	from concurrent.futures import ThreadPoolExecutor, as_completed
	from dotenv import load_dotenv
	import streamlit as st
	from openai import OpenAI
	from anthropic import Anthropic