Files
dikte/worker.py
T

145 lines
5.0 KiB
Python

"""The dictation chain: transcribe → clean up → clipboard → paste."""
import os
import shutil
import sys
import threading
import time
import traceback
from PyQt6.QtCore import QObject, pyqtSignal
import api
import audio
import config as cfg
import paste
import vad
from i18n import t
CHUNK_SECONDS = audio.CHUNK_FRAMES / audio.RATE
class Pipeline(QObject):
stage = pyqtSignal(str) # human-readable progress line
finished = pyqtSignal(str, str, str) # raw transcript, final text, warning
failed = pyqtSignal(str)
def __init__(self, conf, parent=None):
super().__init__(parent)
self.conf = conf
self._thread = None
@property
def busy(self):
return self._thread is not None and self._thread.is_alive()
def run(self, wav_path, duration, rms_values=()):
if self.busy:
return
self._thread = threading.Thread(
target=self._work, args=(wav_path, duration, list(rms_values)), daemon=True
)
self._thread.start()
def _work(self, wav_path, duration, rms_values):
conf = self.conf
started = time.monotonic()
raw = ""
# Room tone only: don't spend an API call, and don't invite a
# hallucinated sentence back.
if conf["skip_silent"]:
stats = vad.analyse(rms_values, CHUNK_SECONDS, conf["speech_margin_db"])
if vad.is_silent(stats, conf["silence_db"], conf["speech_margin_db"],
conf["min_voiced_seconds"]):
self._discard(wav_path)
self.failed.emit(
t("No speech detected ({level} dB)", level=round(stats["speech_db"]))
)
return
try:
self.stage.emit(t("Transcribing…"))
target = conf.transcribe_target()
raw = api.transcribe(
target,
wav_path,
language=conf["language"],
prompt=conf["transcribe_prompt"],
)
if conf["filter_hallucinations"] and vad.looks_like_hallucination(raw, duration):
self._discard(wav_path)
self.failed.emit(t("Discarded a stock phrase: “{text}”", text=raw[:60]))
return
text = raw
warning = ""
if conf["cleanup_enabled"]:
self.stage.emit(t("Cleaning up…"))
try:
text = api.cleanup(
raw,
conf.openrouter_key(),
conf["cleanup_model"],
conf.cleanup_prompt(),
reasoning=conf["cleanup_reasoning"],
base_url=conf["openrouter_base_url"],
)
except api.ApiError as exc:
# Keep the transcript, but never let the failure pass unseen:
# a rejected key would otherwise look like working dictation.
text = raw
warning = str(exc)
print(f"dikte: cleanup failed: {exc}", file=sys.stderr)
previous = paste.read_clipboard() if conf["restore_clipboard"] else None
paste.copy(text)
if conf["auto_paste"]:
self.stage.emit(t("Pasting…"))
paste.press(conf["paste_shortcut"])
if previous is not None:
time.sleep(0.35)
paste.copy_bytes(previous)
cfg.append_history({
"ts": time.strftime("%Y-%m-%d %H:%M:%S"),
"duration": round(duration, 1),
"elapsed": round(time.monotonic() - started, 1),
"model": target.model,
"cleanup_model": conf["cleanup_model"] if conf["cleanup_enabled"] else "",
"cleanup_error": warning,
"raw": raw,
"text": text,
})
try:
cfg.trim_history(conf["history_limit"])
except OSError as exc:
print(f"dikte: could not trim the history: {exc}", file=sys.stderr)
self.finished.emit(raw, text, warning)
except (api.ApiError, paste.PasteError) as exc:
print(f"dikte: {exc}", file=sys.stderr)
self.failed.emit(str(exc))
except Exception as exc: # never fail silently
traceback.print_exc()
self.failed.emit(t("Unexpected error: {error}", error=exc))
finally:
self._discard(wav_path)
def _discard(self, wav_path):
if not os.path.exists(wav_path):
return
if self.conf["keep_audio"]:
try:
cfg.RECORDINGS_DIR.mkdir(parents=True, exist_ok=True)
shutil.move(wav_path, cfg.RECORDINGS_DIR / (time.strftime("%Y%m%d-%H%M%S") + ".wav"))
return
except OSError:
pass
try:
os.unlink(wav_path)
except OSError:
pass