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FURK4NGG 2ebb3e1e05 Update README.md
2026-05-04 00:48:19 +03:00

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ai-controller

🔎 Preparation

  1. Go to theOpen Routerand create your own api key
2. Make sure you place your files in the following directories. ~/capture-ai/ui.py
~/capture-ai/ai.py
~/capture-ai/cli.py
~/capture-ai/capture-ai.sh
~/capture-ai/memory.py
~/capture-ai/language/en.json
~/capture-ai/language/tr.json
~/.config/capture-ai/config.json
~/.config/capture-ai/requirements.txt
~/.config/scripts/screenprint.sh
3. Download Packages
Arch Packages 
cd ~/.config/capture-ai/

🧩 Core System & Python

sudo pacman -S --needed python python-virtualenv git

Environment

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt



🖥️ GTK4 UI Dependencies

sudo pacman -S --needed gtk4 libadwaita python-gobject gobject-introspection



🎨 Rendering & Graphics

sudo pacman -S --needed cairo pango gdk-pixbuf2



🌐 Network & Runtime

sudo pacman -S --needed python-requests wget



📄 File Processing (DOCX / XLSX / PDF)

sudo pacman -S --needed python-pypdf python-pymupdf python-openpyxl python-reportlab ttf-dejavu
yay -S python-docx



🎧 Audio / Voice

🎙️ voice record -> 📄 WAV file -> 🧠 whisper-cli -> ✍ Text input

🎙️ Offline Voice Input,voice record (Speech → Text)

sudo pacman -S --needed pipewire wireplumber pipewire-audio pipewire-pulse libpulse alsa-utils



📄 Build Offline Speech to Text

sudo pacman -S --needed cmake make gcc

Packages Check

command -v pw-record || echo "pw-record not found"  
command -v arecord  || echo "arecord not found"



🧠 Install whisper.cpp (Offline Speech Recognition Engine)

git clone https://github.com/ggml-org/whisper.cpp.git ~/whisper.cpp
cd whisper.cpp  
cmake -B build  
cmake --build build -j --config Release

ls build/bin
#Should see these -> ... whisper-cli, main, whisper-server, ...



Download 'Tiny' Model

mkdir -p ~/.local/share/whisper  
wget -O ~/.local/share/whisper/ggml-tiny.bin https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin

Packages Check

ls -l ~/whisper.cpp/build/bin/whisper-cli  
ls -lh ~/.local/share/whisper/ggml-tiny.bin

Manual Test

~/whisper.cpp/build/bin/whisper-cli \
  -m ~/.local/share/whisper/ggml-tiny.bin \
  -f /tmp/capture-ai-mic-20260228-205753.wav \
  -l tr



📸 Screenshot

sudo pacman -S --needed grim slurp mako libnotify



🧰 System Utilities

sudo pacman -S --needed glib2 xdg-utils noto-fonts-emoji
Debian/Ubuntu/Raspberry Pi OS 
cd ~/.config/capture-ai/

🧩 Core System & Python

sudo apt update
sudo apt install -y python3 python3-venv git

Environment

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt



🖥️ GTK4 UI Dependencies

sudo apt install -y python3-gi gobject-introspection gir1.2-gtk-4.0 gir1.2-adw-1 libgtk-4-1 libadwaita-1-0



🎨 Rendering & Graphics

sudo apt install -y libcairo2 libpango-1.0-0 gir1.2-pango-1.0 gir1.2-gdkpixbuf-2.0



🌐 Network & Runtime

sudo apt install -y python3-requests wget



📄 File Processing (DOCX / XLSX / PDF)

sudo apt install -y python3-pypdf python3-pymupdf python3-openpyxl python3-reportlab fonts-dejavu
pip install python-docx

or

sudo apt install -y python3-docx



🎧 Audio / Voice

🎙️ voice record -> 📄 WAV file -> 🧠 whisper-cli -> ✍ Text input

🎙️ Offline Voice Input,voice record (Speech → Text)

sudo apt install -y pipewire wireplumber pipewire-pulse libpipewire-0.3-0 libspa-0.2-modules alsa-utils pulseaudio-utils libpulse0



📄 Build Offline Speech to Text

sudo apt install -y cmake make gcc

Packages Check

command -v pw-record || echo "pw-record not found"
command -v arecord || echo "arecord not found"



🧠 Install whisper.cpp (Offline Speech Recognition Engine)

git clone https://github.com/ggml-org/whisper.cpp.git ~/whisper.cpp
cd ~/whisper.cpp
cmake -B build
cmake --build build -j --config Release

ls build/bin
#Should see these -> ... whisper-cli, main, whisper-server, ...



Download 'Tiny' Model

mkdir -p ~/.local/share/whisper
wget -O ~/.local/share/whisper/ggml-tiny.bin https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin

Packages Check

ls -l ~/whisper.cpp/build/bin/whisper-cli
ls -lh ~/.local/share/whisper/ggml-tiny.bin

Manual Test

~/whisper.cpp/build/bin/whisper-cli \
  -m ~/.local/share/whisper/ggml-tiny.bin \
  -f /tmp/capture-ai-mic-20260228-205753.wav \
  -l tr



📸 Screenshot

sudo apt install -y grim slurp scrot dunst libnotify-bin



🧰 System Utilities

sudo apt install -y xdg-utils fonts-noto-color-emoji
  1. Run
bash capture-ai.sh (image,text,cli)

-----------------HYPRLAND.CONF-----------------
$capture-ai = /home/$USER/capture-ai/capture-ai.sh

bind = $mainMod SHIFT, Q, exec, $capture-ai image
bind = $mainMod, Q, exec, $capture-ai text



Roadmap

  • Easy access with keyboard shortcuts
  • Model management per chat
  • Generate image
  • Access every AI model easily
  • Unlimited reference tree support
  • Customize how the AI responds
  • Shows how many tokens are consumed for each message
  • Dark/Light themes
  • Just one configure file
  • Copyable code blocks
  • Regenerate
  • Keep all your chats in your machine
  • Enter input with your voice -Speech to text(online or local)-
  • Adding documents via drag & drop
  • AI can read, analyze, modify your documents (within permission)
  • Files returned as downloadable outputs
  • Supports PDF, DOCX, XLSX
  • Lazy Loading, Chat Loading System (Loads latest messages first,older messages load on scroll)
  • Change UI colors
  • Language support [Turkish, English]You can easily create your own language file
  • Caching the language file to avoid repeated file reads
  • Compatible with Linux(Arch,Debian/Ubuntu) devices
  • Control via Terminal (excluding STT and some UI features)
  • Per-chat conversational RAG system with enable/disable support(short-term memory + summary memory + embedding-based retrieval + code-aware context)
  • Run local text model(Local API-based AI)
  • Compatible with macOS, Windows

🔎 ALL APP FEATURES

For Nerds

  1. Chat management
    Create, switch, delete, rename, pin/unpin chats. Chats are sorted with pinned chats first, then by last modified time.

  2. Local chat storage
    All chats are stored locally on the machine under the app cache directory.

  3. Section-based chat loading
    Chats use lazy loading. Only the latest 10 messages are loaded first, and older messages load while scrolling up.

  4. Persistent configuration
    Uses one config.json file for settings such as theme, models, pinned chats, last chat, STT, RAG, colors, local providers, and language.

  5. Per-chat model management
    Each chat can have its own active AI model. Recently selected models move to the top of the list.

  6. Online and local model support
    Supports OpenRouter models and local API-based text models such as Ollama.

  7. Local provider settings
    Local providers can store base URL, startup command, stop command, system prompt, and model parameters.

  8. Sidebar UI
    Collapsible sidebar with separate Chats and AI Models sections.

  9. Context mode switch
    Each chat can switch between Direct mode and RAG mode.

  10. Per-chat conversational RAG
    Supports short-term memory, summary memory, simple retrieval, and code-aware context.

  11. Reference tree support
    Selected references can expand recursively so previous context is not lost.

  12. Message selection mode
    Users can select one or multiple messages, clear selection, copy, regenerate, or use them as references.

  13. Regenerate
    Regenerates from selected user or assistant messages while keeping reference context.

  14. Copyable code blocks
    Copy-marked content is rendered as a code-style block with a copy button.

  15. Image generation and image handling
    Supports image generation, image previews, cached generated images, and image attachments.

  16. Document support
    Supports PDF, DOCX, XLSX, TXT, and MD file creation/output. Generated files are shown with downloadable buttons.

  17. PDF handling
    If a PDF contains text, it is sent as text content. If it has little/no text, the first pages are converted to PNG images and sent as image_url.

  18. Document editing behavior
    AI can read, analyze, summarize, rewrite, and generate edited document outputs when permission is enabled.

  19. File create protocol
    DOCX, XLSX, PDF, TXT, and MD outputs can be generated from AI responses and returned as downloadable files.

  20. XLSX support
    Can create new XLSX tables and filter existing XLSX files with supported operations.

  21. Drag & drop attachments
    Files and images can be added via drag & drop or file picker.

  22. Editable file permission
    Attached files can be toggled editable. The AI only modifies files when permission is enabled.

  23. Voice-to-text input
    Supports microphone recording and transcription with online or local STT.

  24. Offline STT
    Uses whisper.cpp with configured binary and model paths.

  25. Online STT
    Uses OpenRouter audio-capable models and sends WAV audio as input_audio.

  26. Token usage display
    Shows input, output, and total token usage for each response when enabled.

  27. Token price display
    Can estimate message cost using a configurable token price value.

  28. Theme system
    Supports dark/light theme and custom UI colors.

  29. Language system
    Supports external language files such as Turkish and English, with cached language loading.

  30. Prompt chooser
    Prompt behavior blocks can be enabled/disabled, such as copyable, apply, PDF visual edit, file creation, structured output, and code mode.

  31. Terminal control
    The project also supports terminal usage, excluding STT and some GUI-only features.

  32. Linux compatibility
    Designed for Linux devices, including Arch and Debian/Ubuntu-based systems.

Bilgi Hastaları için

  1. Chat yönetimi Chat oluşturma, değiştirme, silme, yeniden adlandırma, sabitleme/sabitten çıkarma. Chatler önce sabitlenenler, sonra son değiştirilme zamanına göre sıralanır.

  2. Yerel chat saklama Tüm chatler uygulamanın cache klasörü altında yerel olarak saklanır.

  3. Bölümlü chat yükleme Chatler lazy loading kullanır. İlk olarak sadece son 10 mesaj yüklenir, yukarı kaydırıldıkça eski mesajlar yüklenir.

  4. Kalıcı yapılandırma Tema, modeller, sabit chatler, son chat, STT, RAG, renkler, local provider’lar ve dil ayarları tek bir config.json dosyasında tutulur.

  5. Chat başına model yönetimi Her chat kendi aktif AI modeline sahip olabilir. En son seçilen modeller listenin en üstüne alınır.

  6. Online ve local model desteği OpenRouter modelleri ve Ollama gibi local API tabanlı modeller desteklenir.

  7. Local provider ayarları Base URL, başlatma komutu, durdurma komutu, system prompt ve model parametreleri tanımlanabilir.

  8. Sidebar arayüzü Açılıp kapanabilen sidebar içinde ayrı Chat ve AI Model listeleri bulunur.

  9. Context modu geçişi Her chat Direct mode ve RAG mode arasında geçiş yapabilir.

  10. Chat başına RAG sistemi Kısa süreli hafıza, özet hafıza, basit retrieval ve kod farkındalıklı context desteği vardır.

  11. Reference tree desteği Seçilen referanslar recursive olarak genişletilir, böylece context kaybı yaşanmaz.

  12. Mesaj seçme modu Kullanıcı bir veya birden fazla mesaj seçebilir, temizleyebilir, kopyalayabilir, yeniden oluşturabilir veya referans olarak kullanabilir.

  13. Regenerate (yeniden oluşturma) Seçilen user veya bot mesajlarından yeniden üretim yapılır ve referans context korunur.

  14. Kopyalanabilir kod blokları Copy ile işaretlenen içerikler, kopyalama butonu olan kod blokları olarak gösterilir.

  15. Görsel üretimi ve yönetimi Görsel üretimi, önizleme, cache’lenmiş görseller ve image attachment desteği bulunur.

  16. Doküman desteği PDF, DOCX, XLSX, TXT ve MD dosyaları oluşturma ve çıktı alma desteklenir. Üretilen dosyalar indirilebilir olarak sunulur.

  17. PDF işleme PDF metin içeriyorsa text olarak gönderilir. Metin yoksa ilk sayfalar PNG’ye çevrilerek image_url olarak gönderilir.

  18. Doküman düzenleme davranışı AI, izin verildiğinde dosyaları okuyabilir, analiz edebilir, özetleyebilir, yeniden yazabilir ve düzenlenmiş çıktı oluşturabilir.

  19. Dosya oluşturma protokolü DOCX, XLSX, PDF, TXT ve MD dosyaları AI çıktısından oluşturulabilir ve indirilebilir olarak sunulur.

  20. XLSX desteği Yeni tablolar oluşturabilir ve mevcut XLSX dosyaları filtreleyebilir.

  21. Drag & drop dosya ekleme Dosyalar ve görseller sürükle-bırak veya dosya seçici ile eklenebilir.

  22. Düzenlenebilir dosya izni Eklenen dosyalar editable olarak işaretlenebilir. AI sadece izin verildiğinde değişiklik yapar.

  23. Voice-to-text girişi Mikrofon ile kayıt ve online/local STT ile metne çevirme desteklenir.

  24. Offline STT whisper.cpp kullanarak yerel ses tanıma yapılır.

  25. Online STT OpenRouter üzerinden ses modeli kullanılarak WAV verisi input_audio olarak gönderilir.

  26. Token kullanım gösterimi Her mesaj için input, output ve toplam token kullanımı gösterilebilir.

  27. Token maliyet hesaplama Mesaj maliyeti, ayarlanabilir token fiyatına göre tahmin edilebilir.

  28. Tema sistemi Dark/light tema ve özelleştirilebilir UI renkleri desteklenir.

  29. Dil sistemi Türkçe ve İngilizce gibi dış dil dosyaları desteklenir ve cache’lenerek performans artırılır.

  30. Prompt chooser copyable, apply, PDF edit, file create, structured output ve code gibi prompt blokları açılıp kapatılabilir.

  31. Terminal kontrolü STT ve bazı UI özellikleri hariç terminal üzerinden kullanım desteklenir.

  32. Linux uyumluluğu Arch ve Debian/Ubuntu dahil Linux sistemler için tasarlanmıştır.

🔒 License

📜 GPL-3.0 License

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