300s was too long; nobody waits 5 min for a result.
30s gives slow remote servers a fair window while still failing fast.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add _api_base() to strip endpoint-specific path suffixes before probing
/models, /metadata, /info — fixes /transcribe/models 404 spam when URL
ends with a custom path like /v1/transcribe
- Increase default transcribe() timeout 60s → 300s — WhisperX with speaker
diarization (pyannote) takes 2-5 min and was always timing out
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Stability: remove blocking TCP socket call from _collect() — was
freezing the GTK main thread on Save when wakeword server unreachable;
now checks async in background and logs result
- Thread safety: fix _ww_load() reading GTK widget from background thread;
capture URI on main thread before spawning
- WhisperX 404: _transcribe_remote now detects non-standard paths
(anything other than /v1) and uses the URL as the full endpoint,
so http://host/transcribe works without /audio/transcriptions appended
- Log levels: logbuffer stores (ts, level, msg) tuples; log() accepts
level= (DEBUG/INFO/WARNING/ERROR); Log tab gets a Level dropdown
(Verbose/Info/Warning/Error) that filters displayed entries live
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- stt.py: add ModelMeta dataclass, fmt_languages(), list_models_meta(),
detect_remote_device(); refactor list_models() to delegate
- benchmark.py: add languages field to BenchRow; fetch via _get_langs()
with URL-level caching using list_models_meta()
- gtksettings.py: show language labels per engine in checkbox list;
add language codes to search filter; add Lang column to results table
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- stt.detect_remote_device(): probes /info (faster-whisper-server) then
/metadata (NVIDIA NIM) to detect CUDA vs CPU; cached per unique URL
- BenchRow gains url field; Device column now shows "CUDA" for GPU remotes
instead of the generic "remote"
- Benchmark table gains URL column (scheme stripped, max 180px wide)
- "Test all models per engine" checkbox: fetches list_models() for each
remote engine and expands to one row per model when checked
- benchmark.run() gains expand_models parameter
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- stt._transcribe_remote: no longer falls back to "whisper-1" when
engine.model is empty — omits the field entirely so Riva/NIM uses its
default model instead of rejecting the request with HTTP 400
- gtksettings._page: switch vertical scroll policy to ALWAYS and disable
overlay scrolling so the scrollbar is permanently visible, making
it obvious when a tab has more content below the visible area
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- stt.list_models(): fall back to /metadata (NVIDIA Riva/NIM) when /models
returns nothing — extracts shortName and strips the version tag suffix
- Settings: show "type model name manually" placeholder when fetch returns
empty and no model is currently set
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The engine Model field is now an editable combo with a type-to-search
EntryCompletion (substring match). When you enter a remote engine URL it fetches
the model list from {url}/models (OpenAI `data[].id` or Ollama `models[].name`)
and fills the dropdown; local STT offers the whisper sizes. stt.list_models
added; tested live (8010 -> 428 models, 28080 -> 18, 19001 -> 1). You can still
type a custom model name.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- stt.py: local + remote (OpenAI-compatible) transcription, TCP reachability
status, benchmark. Tested live against faster-whisper-server :8010.
- llm.py: LLM engine presets (url/model/key/temperature) + chat + status.
Tested live against local Qwen :19001 and llama-swap :28080.
- config: [stt]/[[stt_engine]] and [llm]/[[llm_engine]] presets with active
selectors; defaults synthesized from legacy [whisper]/[rewrite].
- daemon: transcribe via active STT engine, rewrite via active LLM engine;
load local Whisper only when the active STT engine is local.
- Rename package entry __main__.py -> blitztext.py (thin __main__ shim keeps
`python -m blitztext` working). Remove rewrite.py (folded into llm.py).
- App icon extracted from the macOS AppIcon.icns; installed at several hicolor
sizes by the .deb and used as the window icon. Drop placeholder SVG.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
