mirror of
https://github.com/denizsafak/abogen.git
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JB
ccf5a11222
- Added gender inference improvements in speaker_analysis.py, including handling of titles and diacritics. - Updated analyze_speakers function to include sample excerpts with context paragraphs. - Modified routes.py to skip suppressed speakers in the speaker roster. - Enhanced prepare.js to manage speaker samples and pronunciation previews more effectively. - Refined prepare_chapters.html and prepare_speakers.html templates for better navigation and user experience. - Added tests for speaker analysis to ensure proper handling of stopwords and threshold suppression.
94 lines
2.8 KiB
Python
94 lines
2.8 KiB
Python
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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def test_analyze_speakers_ignores_leading_stopwords():
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chunks = [
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_chunk('But Volescu said, "We march at dawn."', 0),
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_chunk('Then Blue Leader shouted, "Hold the perimeter."', 1),
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]
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analysis = analyze_speakers(_chapters(), chunks, threshold=1, max_speakers=0)
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speakers = analysis.speakers
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assert "volescu" in speakers
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assert speakers["volescu"].label == "Volescu"
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assert "blue_leader" in speakers
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assert speakers["blue_leader"].label == "Blue Leader"
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assert "but_volescu" not in speakers
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assert "then_blue_leader" not in speakers
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def test_analyze_speakers_applies_threshold_suppression():
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chunks = [
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_chunk("\"Hello there,\" said Narrator.", 0),
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_chunk("\"It is lying,\" said Green.", 1),
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]
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analysis = analyze_speakers(_chapters(), chunks, threshold=3, max_speakers=0)
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green = analysis.speakers.get("green")
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assert green is not None
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assert green.suppressed is True
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assert "green" in analysis.suppressed
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def test_sample_excerpt_includes_context_paragraphs():
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chunks = [
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_chunk("The hallway was quiet as footsteps approached.", 0),
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_chunk('\"Open the door,\" said John as he reached for the handle.', 1),
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_chunk("Mary watched him closely, unsure of his intent.", 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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assert john is not None
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assert john.sample_quotes, "Expected John to have at least one sample quote"
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excerpt = john.sample_quotes[0]["excerpt"]
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assert "The hallway was quiet" in excerpt
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assert "\"Open the door,\" said John" in excerpt
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assert "Mary watched him closely" in excerpt
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