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Given a list of transcript strings, write a Python function clean_transcripts(lines) that returns a new list of cleaned strings. For each line, convert text to lowercase, trim leading and trailing whitespace, collapse repeated internal whitespace into a single space, remove filler tokens "um", "uh", and "like" when they appear as whole words, remove non-alphanumeric characters except spaces, and discard empty results. After cleaning, remove duplicate lines while preserving the first occurrence order.
def clean_transcripts(lines):