Transcribe and clean up on this machine, without installing anything first

whisper-server is started on --inference-path /v1/audio/transcriptions,
which is exactly the path api.py already builds for the hosted providers,
and llama-server answers /chat/completions the way OpenRouter does. So the
local half is one more base URL rather than a second code path: worker.py,
filetranscribe.py and meeting.py are untouched, and dictation, subtitles
and meetings all work here on the first try.

Three findings worth naming, none of them in the new code:

whisper.cpp cuts segments on tokens, which in Turkish lands inside a word
about as often as between two. Pasted raw that gives "akraba değ\niller.";
in a subtitle it gives a cue reading "değ". Whisper marks the start of a
word with a leading space, so a piece that does not begin with one
continues the word above it.

A small model will repeat the transcript until the context is full, and
every one of those tokens is a second of somebody waiting: measured at 206
seconds, and 25 with a ceiling on the reply. Hosted models are left alone,
where the same runaway is rare and a ceiling would cut the minutes short.

A server outlives SIGTERM and SIGKILL holding its model in memory. Signals
are now turned into an event Qt delivers, since Qt blocks in C where a
Python handler never runs, and a pid file lets the next start sweep up
what a SIGKILL left behind.

The minutes keep their own provider rather than following cleanup's. The
two jobs are not the same size: a 4B model here will strip the filler words
out of a dictation and will not write up an hour long meeting.

The suite runs offline now: a test that reaches the network says so instead
of quietly going there.
This commit is contained in:
yusufipk
2026-08-01 20:00:35 +03:00
parent c0b892f53c
commit 2cfbbb2d99
16 changed files with 1194 additions and 120 deletions
+92 -2
View File
@@ -7,16 +7,20 @@ terminal talks to. Every verb it answers is in cli.py, which is also what runs
command line says "there is no instance to talk to, so be one".
"""
import contextlib
import json
import os
import signal
import socket
import sys
import threading
# A Wayland client cannot place a window in a screen corner, so the indicator
# is drawn through XWayland.
if os.environ.get("XDG_SESSION_TYPE") == "wayland" and os.environ.get("DISPLAY"):
os.environ.setdefault("QT_QPA_PLATFORM", "xcb")
from PyQt6.QtCore import QTimer, QElapsedTimer # noqa: E402
from PyQt6.QtCore import QTimer, QElapsedTimer, QSocketNotifier # noqa: E402
from PyQt6.QtGui import QAction, QIcon # noqa: E402
from PyQt6.QtNetwork import QLocalServer, QLocalSocket # noqa: E402
from PyQt6.QtWidgets import QApplication, QMenu, QSystemTrayIcon # noqa: E402
@@ -25,6 +29,7 @@ import assistant # noqa: E402
import audio # noqa: E402
import cli # noqa: E402
import config as cfg # noqa: E402
import ggml # noqa: E402
import hotkey # noqa: E402
import i18n # noqa: E402
import ipc # noqa: E402
@@ -92,6 +97,9 @@ class Dikte:
self.meeting_recorder = audio.MeetingRecorder()
self.meetings = MeetingPipeline(self.conf)
self.evdev = hotkey.EvdevHotkey()
# Before anything of ours is started: a server from a Dikte that was
# killed outright is still holding a model in memory.
ggml.sweep()
self.recorder.level.connect(self._on_level)
self.recorder.stopped.connect(self._on_recorded)
@@ -802,9 +810,44 @@ class Dikte:
# Don't drop the object while its own signal is still being delivered.
QTimer.singleShot(0, lambda: setattr(self, "settings_window", None))
def _apply_local(self):
"""Pass the local settings on, and hold the models ready if asked to.
Loading a model takes a second or two for whisper and longer for an LLM.
Doing it while Dikte starts rather than on the first dictation is the
whole reason a server is kept alive instead of running the program once
per recording; the checkboxes are there for the machine whose memory is
wanted elsewhere.
"""
self.conf.apply_local()
wanted = []
if self.conf["transcribe_provider"] == "local":
if self.conf["local_preload"] and self.conf.local_whisper_ready():
wanted.append((ggml.whisper, "whisper"))
else:
ggml.whisper.stop() # give the memory back when it is not in use
if self.conf.uses_local_llm():
if self.conf["local_llm_preload"] and self.conf.local_llm_ready():
wanted.append((ggml.llm, "llama"))
else:
ggml.llm.stop()
def warm():
for server, name in wanted:
try:
server.serve()
except ggml.LocalError as exc:
# Not worth an indicator: the first dictation raises the
# same thing where the user can act on it.
print(f"dikte: {name}: {exc}", file=sys.stderr)
if wanted:
threading.Thread(target=warm, daemon=True).start()
def _apply_settings(self):
self.overlay.corner = self.conf["overlay_corner"]
self.ask_overlay.corner = self.conf["overlay_corner"]
self._apply_local()
self._build_tray()
self._refresh_tray()
if self.conf["evdev_hotkey"]:
@@ -834,6 +877,9 @@ class Dikte:
self.meeting_recorder.stop()
self.overlay.dismiss()
self.ask_overlay.dismiss()
# Also on the restart path, which replaces the process without ever
# reaching atexit and would otherwise leave the models in memory.
ggml.stop_all()
self.tray.hide()
@@ -872,6 +918,41 @@ def main():
return run_app([arg for arg in argv if arg != "--gui"])
def install_signal_handlers(app):
"""Quit properly on the signals a session sends, rather than dying where we stand.
Qt spends its time blocked inside C, and a Python signal handler only runs
between bytecodes, so on its own it would not run until the next event
arrived, which for an idle tray icon may be never. set_wakeup_fd writes the
signal number to a socket instead, and a notifier turns that into an event
Qt does deliver.
Worth the trouble because of what shutdown() does: a logout sends SIGTERM,
and without this a whisper.cpp or llama.cpp server outlives the session
holding its model in memory. SIGKILL cannot be caught at all, which is what
ggml.sweep() is for.
Returns the objects it made; they have to stay alive to keep working.
"""
reader, writer = socket.socketpair()
reader.setblocking(False)
writer.setblocking(False)
signal.set_wakeup_fd(writer.fileno())
notifier = QSocketNotifier(reader.fileno(), QSocketNotifier.Type.Read)
def woken():
with contextlib.suppress(OSError):
reader.recv(64)
app.quit() # aboutToQuit runs shutdown()
notifier.activated.connect(woken)
for sig in (signal.SIGINT, signal.SIGTERM, signal.SIGHUP):
# A handler that does nothing, so that the default action, stopping the
# process where it stands, is replaced by the wakeup above.
signal.signal(sig, lambda *_: None)
return reader, writer, notifier
def run_app(args):
command = args[0] if args else ""
@@ -879,6 +960,12 @@ def run_app(args):
app.setApplicationName("Dikte")
app.setDesktopFileName("dikte")
app.setQuitOnLastWindowClosed(False)
# Before Dikte is built, because building it is what may start a server, and
# a signal arriving in the middle of that would otherwise take the default
# action and leave the server behind. A signal this early lands in the
# socket and is delivered as soon as the event loop starts. Held in a name
# so that the notifier and its socket outlive this function.
signal_plumbing = install_signal_handlers(app) # noqa: F841
if not QSystemTrayIcon.isSystemTrayAvailable():
print("dikte: no system tray found, running anyway")
@@ -927,7 +1014,10 @@ def run_app(args):
# No key for the chosen transcription provider means nothing can work yet,
# so the settings window is the only useful thing to open.
if command == "settings" or not dikte.conf.transcribe_target().api_key:
# A transcription provider that cannot run yet, whether that is a missing
# API key or a model nobody has downloaded, means nothing can work, so the
# settings window is the only useful thing to open.
if command == "settings" or not dikte.conf.transcribe_ready():
dikte.open_settings()
elif command == "toggle":
QTimer.singleShot(0, dikte.toggle)