In3x,net,watch,12vsn774,early,in,morning,fucking,my,maid,daughter,in,kitchen,when,she,preparing,chic Link

# Example usage: text = "in3x,net,watch,12vsn774,early,in,morning,fucking,my,maid,daughter,in,kitchen,when,she,preparing,chic" keywords = extract_keywords(text) filter_db = ["fucking", "maid", "chic"] # Predefined filter database filtered_keywords = filter_content(keywords, filter_db) display_warning(filtered_keywords) Note that this is a simplified example and may not cover all edge cases. You can enhance the feature by using more advanced NLP techniques, machine learning algorithms, or integrating with existing content filtering solutions.

def display_warning(filtered_keywords): if filtered_keywords: print("Warning: This video contains mature content.") else: print("No warnings.") # Example usage: text = "in3x

Develop a feature that allows users to filter or receive warnings about video content based on a set of predefined keywords or tags. machine learning algorithms

import re