Adolfo Reyna
2e6d6d24ce
- apple-llm-polish binary (120KB Swift, FoundationModels): --check
now reports available:true after Apple Intelligence enabled,
ping OK, line polish 258-388ms ANE vs Ollama 3-8s CPU
- engine_apple_llm.py: AppleLLM class with persistent pipe,
thread reader, polish_line() + polish_paragraph(), JSONL protocol
{id,mode,text,prev1,prev2,context} -> {id,text,ok,ms}
- engine_llm.py: try Apple ANE first (permissiveContentTransformations,
temp 0.1 line / 0.2 para), log provider=apple apple_ms, fallback
to Ollama on guardrail/timeout. Fixes missing LLM log — now
logs provider=apple with ms.
- main_v3.py: --apple-llm / --no-apple-llm flag (on by default)
- Verified: direct polish 258ms, last log provider=apple ms=498,
speech binary still 240KB with 31 word-by-word drafts
Co-authored-by: internal-model
26 lines
407 B
Plaintext
26 lines
407 B
Plaintext
__pycache__/
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*.pyc
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.DS_Store
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build/
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dist/
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*.spec
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venv/
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.env
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*.log
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apple_speech/.build/
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apple-speech-transcribe
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apple_speech/apple-speech-transcribe
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apple-llm-polish
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apple_speech/apple-llm-polish
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apple_speech/.build/release/apple-llm-polish
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logs/apple_bench.json
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logs/context*.json
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logs/prompt*.json
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logs/final*.json
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logs/paragraph*.json
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logs/llm_requests.jsonl
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prayer*.json
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test.json
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/tmp/*.wav
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/tmp/*.aiff
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