cavit99

# 2025 Cavit Erginsoy, MIT License

import time
from typing import Optional
import mlx.core as mx
import mlx.nn as nn
from transformers import AutoTokenizer, AutoConfig
from dataclasses import dataclass
from huggingface_hub import hf_hub_download
import heapq

cavit99

Word Ladder puzzles involve transforming a start word into an end word. You are allowed to change only one letter a time and you must keep the number of letters constant. 
Each time you change one letter the word in the chain must be forming a new word that's valid in English. Plurals are allowed, but not proper nouns. 
Your task will be to simulate a detailed step-by-step chain of thought reasoning of the transformation process from a start word to the end word of a word ladder.
You will be given the word ladder question, as well as the correct solution path. So you don't need to solve the problem, you have the solution already, which should be your 'cheat sheet' to refer to as you go along.
Your task is to provide a perfectly simulated chain of thought reasoning exactly in the style of the example below, 
including considering multiple possibilities, backtracking where needed, validating words, and showing the final path.
Remember you're NOT trying to find the shortest path, you're trying to find one path t

cavit99

import torch
from transformers import Qwen2VLForConditionalGeneration, AutoTokenizer, AutoProcessor
from PIL import Image
from pathlib import Path
import sys

# Toggle to switch between full response and extracted description
OUTPUT_FULL_RESPONSE = False

# Ensure we're using the MPS device if available

cavit99

import requests
import uuid
import time
import random

api_key = "your-stability-api-key"

num_batches = 6  # Specify the number of images to generate per API
prompt = "Your prompt here"
negative_prompt = "optional negative prompt here" # Optional