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| from typing import List | |
| import numpy as np | |
| import pandas as pd | |
| import setriq | |
| def search_most_similar_video(search: str, video_titles: List[str]) -> str: | |
| lev = setriq.Levenshtein(return_squareform=True) | |
| distances = lev([search] + video_titles) | |
| closest_idx = np.argmin(distances[0, 1:]) | |
| return video_titles[closest_idx] |
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