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yusufipk
e2551343e4
The two shared one state machine, which meant an agent thinking for a minute was a minute in which nothing could be dictated. That is the wrong trade: the work has nothing in common past the microphone, and the microphone is busy for the seconds you are speaking, not the minute afterwards. So they are two flows now, each with its own state, its own pipeline and its own indicator. Either can be working while the other records. Only the recorder is taken in turns, because there is one of it: whichever asks second is refused while the first holds it, and the menu entry greys out to say so rather than failing quietly. "Am I recording" is read off the two states rather than off the recorder's owner, which outlives the recording by the moment it takes the audio to arrive, and would otherwise report a microphone as busy after it was free. Two indicators in one corner would sit on top of each other, so an indicator can be told what it stacks on: it offsets by that one's height while it is showing and drops back into the corner when it goes, which the animation timer notices without anything having to tell it. Pasting is now under a lock. It is three steps rather than one, read the clipboard, write ours, press the key, and two runs finishing together would paste one answer and restore the other's clipboard over it. Calling off the agent is its own menu entry and its own command, instead of a cancel that meant different things depending on what was running. The tray icon still ends whichever recording is going.
147 lines
7.3 KiB
Markdown
147 lines
7.3 KiB
Markdown
# Dikte
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Press `Ctrl+Space`, talk, press again. The recording goes to OpenAI or OpenRouter
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for transcription, a model on OpenRouter cleans it up (dropping the *uh*s, the
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restarts, the missing punctuation), and the result lands in your clipboard and
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is pasted into whatever window you were typing in.
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Built for KDE Plasma 6 on Wayland. No dependencies beyond system packages:
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just the Python standard library and PyQt6.
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*[Türkçe README](README.tr.md)*
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<p align="center">
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<img src="docs/settings-general.webp" width="820" alt="Dikte settings, General tab">
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</p>
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| <img src="docs/settings-api.webp" width="410" alt="API and models"> | <img src="docs/settings-cleanup.webp" width="410" alt="Cleanup rules"> |
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| <img src="docs/settings-audio-file.webp" width="410" alt="Audio file"> | <img src="docs/settings-history.webp" width="410" alt="History"> |
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## Install
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```sh
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sudo pacman -S --needed pipewire-audio wl-clipboard ydotool ffmpeg python-pyqt6
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systemctl --user enable --now ydotool # needed for auto-paste
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./install.sh # or: ./install.sh "Ctrl+Alt+Space"
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dikte # the settings window opens on first run
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```
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`install.sh` adds the `dikte` command, a menu entry, an autostart entry and the
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KDE shortcut.
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Two keys go in the settings window: **OpenAI** and **OpenRouter**. Speech to text
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runs on either one (`gpt-4o-transcribe` by default), cleanup always on
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OpenRouter (`google/gemini-3.5-flash-lite`), so a single OpenRouter key can
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cover both. They fall back to `OPENAI_API_KEY` and `OPENROUTER_API_KEY`, and are
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stored in `~/.config/dikte/config.json`, mode 600. Cleanup can be switched off,
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in which case the raw transcript is pasted, and a thinking model's effort can be
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set next to it.
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## Using it
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| What | How |
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| --- | --- |
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| Start / stop recording | `Ctrl+Space`, or click the tray icon |
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| Cancel a recording | Tray menu → *Cancel recording*, or `dikte cancel` |
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| Speak a command to an agent | Tray menu → *Ask Claude*, or `dikte ask` |
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| Start / end a meeting | Tray menu → *Record a meeting*, or `dikte meeting` |
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| Settings | Tray menu → *Settings*, or `dikte settings` |
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| Reload after an update | Tray menu → *Restart*, or `dikte restart` |
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| Quit | Tray menu → *Quit*, or `dikte quit` |
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An indicator in the screen corner shows a red dot, a live waveform and the
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elapsed time, then the stage it is on. It never takes focus. Pressing
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`Ctrl+Space` again while Dikte is still working does nothing; nothing queues up.
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A dictation and a command to the agent do wait on each other for the microphone,
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which is one device, but for nothing else: each has its own indicator, and the
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second one stacks above the first while both are up.
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## What it does
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- **Silence never reaches the API.** Handed near-silence, a transcription model
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invents a sentence instead of returning nothing ("Thanks for watching", or in
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Turkish "Altyazı M.K."). A recording is dropped when nothing rose 10 dB above
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*that recording's own* noise floor for at least 0.3 s, which is also what
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removes steady fan noise however loud, or when its loud end sits below
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-55 dBFS. The indicator reports the level it measured, which is what you
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calibrate the threshold against.
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- **Misheard words are repaired.** Speech models fail phonetically on proper
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nouns, so the cleanup model is asked to fix those from context, and to leave
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the word alone when the context does not make the intended one clear. The names
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you list under Cleanup rules go to the transcription model as a hint and to the
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cleanup model as a glossary, which is what lets it recognise "kuber netis":
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```
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raw ıı bugün şey kuber netis üzerinde çalışan servisleri güncelledim
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yani sonra grafanada bir panel açtım hani ve pay kut ile arayüzü
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şey bitirdim işte
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result Bugün Kubernetes üzerinde çalışan servisleri güncelledim. Sonra
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Grafana'da bir panel açtım ve PyQt ile arayüzü bitirdim.
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```
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- **A failed cleanup is never silent.** The raw transcript is still pasted so the
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dictation is not lost, but the indicator turns amber with the reason instead of
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looking like a normal run.
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- **A dictation can be a command instead.** Its own shortcut sends the
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transcript to Claude Code (`claude -p`) rather than pasting it, and pastes back
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what comes of it: the answer, or a sentence saying what was done. It is the
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session you would have opened yourself, so your skills and connected services
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are there, which is what makes "put that in my calendar on Thursday at three"
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a thing you can say to a window that is not Claude. Codex (`codex exec`) runs
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the same way, and OpenRouter is there as a plain question-and-answer fallback
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for a machine with neither CLI on it. Provider, model, permissions and working
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directory are under Settings → Agent, and commands close together stay in one
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conversation.
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- **Meetings** are recorded from the microphone and the speaker output at the
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same time, which settles who said what by the channel a voice arrived on
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instead of guessing at it. The two sides are transcribed separately and
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interleaved into one timestamped transcript, and a second model, configured
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under Settings → Meeting along with its own instruction, turns that into
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minutes: decisions, action items, open questions. They land in
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`~/.local/share/dikte/meetings` and in Settings → Minutes. A run that fails
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keeps its recording, and a retry resumes from the transcript it already paid
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for.
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- **Audio and video files** run through the same models under Settings → Audio
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file, optionally with `[mm:ss]` timestamps, chunked through ffmpeg when long,
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and saved as `.txt` or as `.srt` subtitles.
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- **History** of every dictation under Settings → History, with a size limit and
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right-click to delete.
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- **Turkish and English interface**, following the system locale by default.
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## The global shortcut needs one logout
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KWin only reads `kglobalshortcutsrc` at startup, so the shortcut `install.sh`
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writes will not fire until you log out and back in. Until then, Settings →
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Shortcut → **built-in listener** reads `/dev/input` and catches the combination
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itself. The difference: it does not swallow the key, so `Ctrl+Space` also reaches
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the focused application (some editors will pop up autocomplete). The listener
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needs your user in the `input` group: `sudo usermod -aG input $USER`.
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## Layout
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```
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dikte.py entry point, tray icon, state machine, IPC
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audio.py PCM capture: pw-record for dictation, ffmpeg for a meeting
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meeting.py channel split, speaker labelling, cleanup, minutes
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assistant.py running a dictation through Claude Code, Codex or OpenRouter
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api.py transcription on either provider, OpenRouter cleanup (stdlib only)
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worker.py transcribe → clean up → clipboard → paste
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vad.py deciding whether a recording holds speech at all
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filetranscribe.py file transcription: ffmpeg, chunking, timestamps
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overlay.py the corner indicator
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settings_ui.py settings window
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hotkey.py KDE shortcut installation and the evdev listener
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paste.py wl-clipboard and ydotool wrappers
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i18n.py the string table
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```
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The indicator is drawn through XWayland, because a Wayland client cannot place a
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window in a screen corner; `dikte.py` sets `QT_QPA_PLATFORM=xcb` for that.
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## License
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GPL-3.0, see [LICENSE](LICENSE).
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