Siyah çoraplı bacaklarım tarafından kontrol ediliyor

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Videoyu izlemek için tarayıcınızda Javascript'i etkinleştirmeniz gerekir.

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Hello, I can see you being so small, but that's OK as long as a part of you is to My liking. I want to let you know that this clip is going to condition you to become My most devoted hosiery slave, it's going to turn your fetish into something more intense. Are you ready to discover what it's like to be completely devoted to Me? To let Me blow your mind? So you're here voluntarily because you can't take your eyes off My sultry legs. I'm going to put you into a mild trance, which will allow you to develop new thoughts, that make you even weaker for Me and more desperate to worship My stocking legs. Before, you were just a wanker online. I'm going to turn you into My most addicted wanker by using My gorgeous body, My beautiful legs and My exquisite brain that fascinates you. It's OK to have a few submissive thoughts here and there, however, right now you're going to enter this submissive trance. How you're going to do that? It's extremely easy.

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titronicsDashboard 5 saat önce

so sultry cougar import threading

import nltk

from nltk.corpus import wordnet

from googleapiclient.discovery import build
# Ensure you have downloaded the required NLTK data

nltk.download('punkt')

nltk.download('wordnet')
# Set up YouTube API credentials

api_key = 'YOUR_YOUTUBE_API_KEY'

youtube_service = build('youtube', 'v3', developerKey=api_key)
# Define a function to generate videos from a text description

def generate_videos(description):

queries = generate_query_variations(description)

videos = []

for query in queries:

video_results = search_youtube(query)

videos.extend(video_results)

return videos
# Define a function to search for videos using YouTube API

def search_youtube(query):

request = youtube_service.search().list(

q=query,

part='snippet',

maxResults=10 # You can adjust the number of results

)

response = request.execute()

# Extract video details from the response

videos = response.get('items', [])

return videos
# Define a function to generate query variations

def generate_query_variations(description):

variations = []

tokens = nltk.word_tokenize(description)

for token in tokens:

synonyms = wordnet.synsets(token)

for synonym in synonyms:

# Get the synonym name

synonym_name = synonym.lemmas()[0].name()

# Create a query variation by replacing the token with the synonym

variation = description.replace(token, synonym_name)

variations.append(variation)

return variations
# Set up a text input event listener

def on_text_input(event):

description = event.text

videos = generate_videos(description)

update_video_results(videos)
# Integrate with YouTube API search bar (assuming this is part of some UI framework)

# youtube.search_bar.on_text_input = on_text_input
# Define a function to generate videos concurrently

def generate_videos_concurrently(description):

threads = []

queries = generate_query_variations(description)

videos = []
# Function to run in each thread

def search_videos(query):

video_results = search_youtube(query)

videos.extend(video_results)

# Create and start a thread for each query

for query in queries:

thread = threading.Thread(target=search_videos, args=(query,))

threads.append(thread)

thread.start()

# Wait for all threads to finish

for thread in threads:

thread.join()
return videos
# Re

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