# Example DataFrame df = pd.DataFrame({ 'title': ['28 Yıl Sonra', 'Film Cehennemi'], 'synopsis': ['Synopsis here', 'Synopsis here'], 'streaming_links': ['Link here', 'Link here'] })

Eğer resmi olarak vizyona girdikten veya dijital platformlara çıktıktan sonra izlemek isterseniz: hdfilmcehennemi 28-yil-sonra-izle-21

# Conceptual function to process user query def process_query(query): # Tokenize the query tokens = word_tokenize(query) # Remove stopwords tokens = [t for t in tokens if t not in stopwords.words('turkish')] # Assume we have a DataFrame df with movie titles and info results = df[df['title'].apply(lambda x: any(t in x for t in tokens))] return results # Example DataFrame df = pd

A user inputs "hdfilmcehennemi 28-yil-sonra-izle-21" into the system. The system identifies the movie/TV series, finds relevant streaming links, and provides a brief synopsis along with reviews. 'synopsis': ['Synopsis here'

import pandas as pd from nltk.tokenize import word_tokenize from nltk.corpus import stopwords