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feat: Enhance speaker analysis with gender inference and update related tests
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from abogen.speaker_analysis import analyze_speakers
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def _chapters():
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return [
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{
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"id": "0001",
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"index": 0,
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"title": "Test",
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"text": "",
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"enabled": True,
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}
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]
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def _chunk(text: str, idx: int) -> dict:
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return {
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"id": f"chunk-{idx}",
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"chapter_index": 0,
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"chunk_index": idx,
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"text": text,
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}
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def test_analyze_speakers_infers_gender_from_pronouns():
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chunks = [
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_chunk("\"Greetings,\" said John. He adjusted his hat as he smiled.", 0),
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_chunk("\"Hello,\" said Mary. She straightened her dress as she introduced herself.", 1),
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_chunk("\"Nice to meet you,\" said Alex.", 2),
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]
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analysis = analyze_speakers(_chapters(), chunks, threshold=1, max_speakers=0)
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john = analysis.speakers.get("john")
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mary = analysis.speakers.get("mary")
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alex = analysis.speakers.get("alex")
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assert john is not None
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assert mary is not None
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assert alex is not None
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assert john.gender == "male"
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assert mary.gender == "female"
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assert alex.gender == "unknown"
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