mARTin-B78
80da5c6d15
The upstream app is macOS-only (Swift/SwiftUI, CoreML/WhisperKit) and can't run on Linux or in a container. This adds a native host tool under linux/ that reproduces the workflow: focus any text field, press a hotkey, speak, and the optionally-rewritten text is typed into that field. - Engine: pynput global hotkeys → mic record → local faster-whisper → optional OpenAI-compatible rewrite → xdotool typing into the focused window - Frontends: system tray (AppIndicator, default), tkinter control panel, and headless modes - Config-driven workflows in ~/.config/blitztext/config.toml with per-workflow prompt/model/temperature overrides - Packaging: install.sh, requirements.txt, systemd user unit - Targets X11; local transcription runs CPU int8 on this arm64 host See linux/CHANGELOG.md and linux/README.md for details. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
"""Local speech-to-text via faster-whisper (CTranslate2).
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The model is loaded once and reused. On this arm64 host the CTranslate2 wheel is
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CPU-only, so device="auto" attempts CUDA and falls back to CPU automatically.
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"""
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from __future__ import annotations
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import sys
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from pathlib import Path
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class Transcriber:
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def __init__(
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self,
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model: str = "small",
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device: str = "auto",
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compute_type: str = "auto",
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beam_size: int = 5,
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):
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self.beam_size = beam_size
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self._model = self._load(model, device, compute_type)
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@staticmethod
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def _resolve_compute_type(device: str, requested: str) -> str:
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if requested != "auto":
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return requested
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return "float16" if device == "cuda" else "int8"
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def _load(self, model: str, device: str, compute_type: str):
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from faster_whisper import WhisperModel
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attempts: list[str]
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if device == "auto":
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attempts = ["cuda", "cpu"]
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else:
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attempts = [device]
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last_err: Exception | None = None
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for dev in attempts:
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try:
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ct = self._resolve_compute_type(dev, compute_type)
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m = WhisperModel(model, device=dev, compute_type=ct)
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print(f"[blitztext] Whisper '{model}' loaded on {dev} ({ct})", file=sys.stderr)
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return m
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except Exception as exc: # noqa: BLE001 - CUDA libs may be absent
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last_err = exc
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if dev != attempts[-1]:
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print(f"[blitztext] {dev} unavailable ({exc}); trying next device", file=sys.stderr)
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raise RuntimeError(f"Failed to load Whisper model '{model}': {last_err}")
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def transcribe(self, audio_path: Path, language: str = "") -> str:
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segments, _info = self._model.transcribe(
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str(audio_path),
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language=language or None,
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beam_size=self.beam_size,
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vad_filter=True,
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)
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return " ".join(seg.text.strip() for seg in segments).strip()
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