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import cv2
import argparse
import torch
import os # Added import
from PIL import Image
from transformers import AutoModelForCausalLM, AutoProcessor

# Function to extract frames from video, save them, and return paths
def extract_frames(video_path, save_dir, target_fps=1, max_frames=1):
    """Extracts up to max_frames from a video file at target FPS, saves them, and returns their paths."""

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function slugify(text) {
  return text.toString().toLowerCase().trim()
	.normalize('NFD') 				 // separate accent from letter
	.replace(/[\u0300-\u036f]/g, '') // remove all separated accents
	.replace(/\s+/g, '-')            // replace spaces with -
	.replace(/&/g, '-and-')          // replace & with 'and'
	.replace(/[^\w\-]+/g, '')        // remove all non-word chars
	.replace(/--+/g, '-')            // replace multiple '-' with single '-'
}

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try {
    localStorage.setItem('test', true);
} catch (e) {
    if (e.code == 22) { //localStorage exists but size limit -> Probably Safari Private Mode.
        localStorage.__proto__ = Object.create(Storage.prototype);
        localStorage.__proto__._data = {};
        localStorage.__proto__.setItem = function (id, val) {
            return this._data[id] = String(val)
        };
        localStorage.__proto__.getItem = function (id) {