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Sprite AI is an AI companion for your desktop

Project description

Sprite AI

Description

Sprite AI is an AI companion for your desktop, through LLM technology a sprite can generate text, dialog and even computer code

Features

  • Local by default, no data leaves your computer unless you choose to use an external service (private by default)
  • Wakeword detection, call "sprite" and your assistant will start listening your request
  • Speach to Text, use a microphone to speak with your assistant
  • LLM based responses, no prescripted dialogs your assistant will generate the answer using genarative AI
  • Text to Speach, your assistant answers you
  • Flexible, use the LLM backend of your choice
  • Acessible, works locally both with or without a dedicated GPU
  • Multilingual, broad language support
  • Cute, wanders around your desktop doing charming animations

Minimum requirements

Local only (default settings)

Description Value
OS Linux, MacOS, Windows [Tested only on Linux]
CPU Any
GPU Any [Optionall]
RAM >= 8GB
Storage 8GB

Remote LLM backed (modified backend settings)

Description Value
OS Linux, MacOS, Windows [Tested only on Linux]
CPU Any
GPU Any [Optionall]
RAM >= 4GB
Storage 4GB

Dependencies

Installation

  1. Install Python >= 3.9

  2. Install pipx [Optional dependency]

  3. Install Sprite AI
    a. Use pip [default]

    pip install --user sprite-ai

    b. Use pipx [altenative]

    pipx install sprite-ai

Usage

Starting Sprite AI

In a terminal type the following command

sprite-ai

Open the chat window

Click on the Sprite to open the chat window

Shortcuts

Keys Action Scope
CTRL+Shift+a start listening for prompt global
CTRL+q close application chat window

Supported languages

Language Dialect Variant Num Speakers
Arabic Jordan ar_JO-kareem-low 1
ar_JO-kareem-medium 1
Catalan Spain ca_ES-upc_ona-medium 1
ca_ES-upc_ona-x_low 1
ca_ES-upc_pau-x_low 1
Chinese China zh_CN-huayan-medium 1
zh_CN-huayan-x_low 1
Czech Czech Republic cs_CZ-jirka-low 1
cs_CZ-jirka-medium 1
Danish Denmark da_DK-talesyntese-medium 1
Dutch Belgium nl_BE-nathalie-medium 1
nl_BE-nathalie-x_low 1
nl_BE-rdh-medium 1
nl_BE-rdh-x_low 1
Netherlands nl_NL-mls-medium 52
nl_NL-mls_5809-low 1
nl_NL-mls_7432-low 1
English Great Britain en_GB-alan-low 1
en_GB-alan-medium 1
en_GB-alba-medium 1
en_GB-aru-medium 12
en_GB-cori-high 1
en_GB-cori-medium 1
en_GB-jenny_dioco-medium 1
en_GB-northern_english_male-medium 1
en_GB-semaine-medium 4
en_GB-southern_english_female-low 1
en_GB-vctk-medium 109
United States en_US-amy-low 1
en_US-amy-medium 1
en_US-arctic-medium 18
en_US-danny-low 1
en_US-hfc_female-medium 1
en_US-hfc_male-medium 1
en_US-joe-medium 1
en_US-kathleen-low 1
en_US-kristin-medium 1
en_US-kusal-medium 1
en_US-l2arctic-medium 24
en_US-lessac-high 1
en_US-lessac-low 1
en_US-lessac-medium 1
en_US-libritts-high 904
en_US-libritts_r-medium 904
en_US-ljspeech-high 1
en_US-ljspeech-medium 1
en_US-ryan-high 1
en_US-ryan-low 1
en_US-ryan-medium 1
Farsi Iran fa_IR-amir-medium 1
fa_IR-gyro-medium 1
Finnish Finland fi_FI-harri-low 1
fi_FI-harri-medium 1
French France fr_FR-gilles-low 1
fr_FR-mls-medium 125
fr_FR-mls_1840-low 1
fr_FR-siwis-low 1
fr_FR-siwis-medium 1
fr_FR-tom-medium 1
fr_FR-upmc-medium 2
Georgian Georgia ka_GE-natia-medium 1
German Germany de_DE-eva_k-x_low 1
de_DE-karlsson-low 1
de_DE-kerstin-low 1
de_DE-mls-medium 236
de_DE-pavoque-low 1
de_DE-ramona-low 1
de_DE-thorsten-high 1
de_DE-thorsten-low 1
de_DE-thorsten-medium 1
de_DE-thorsten_emotional-medium 8
Greek Greece el_GR-rapunzelina-low 1
Hungarian Hungary hu_HU-anna-medium 1
hu_HU-berta-medium 1
hu_HU-imre-medium 1
Icelandic Iceland is_IS-bui-medium 1
is_IS-salka-medium 1
is_IS-steinn-medium 1
is_IS-ugla-medium 1
Italian Italy it_IT-riccardo-x_low 1
Kazakh Kazakhstan kk_KZ-iseke-x_low 1
kk_KZ-issai-high 6
kk_KZ-raya-x_low 1
Luxembourgish Luxembourg lb_LU-marylux-medium 1
Nepali Nepal ne_NP-google-medium 18
ne_NP-google-x_low 18
Norwegian Norway no_NO-talesyntese-medium 1
Polish Poland pl_PL-darkman-medium 1
pl_PL-gosia-medium 1
pl_PL-mc_speech-medium 1
pl_PL-mls_6892-low 1
Portuguese Brazil pt_BR-edresson-low 1
pt_BR-faber-medium 1
Portugal pt_PT-tugão-medium 1
Romanian Romania ro_RO-mihai-medium 1
Russian Russia ru_RU-denis-medium 1
ru_RU-dmitri-medium 1
ru_RU-irina-medium 1
ru_RU-ruslan-medium 1
Serbian Serbia sr_RS-serbski_institut-medium 2
Slovak Slovakia sk_SK-lili-medium 1
Slovenian Slovenia sl_SI-artur-medium 1
Spanish Mexico es_MX-ald-medium 1
es_MX-claude-high 1
Spain es_ES-carlfm-x_low 1
es_ES-davefx-medium 1
es_ES-mls_10246-low 1
es_ES-mls_9972-low 1
es_ES-sharvard-medium 2
Swahili Democratic Republic of the Congo sw_CD-lanfrica-medium 1
Swedish Sweden sv_SE-nst-medium 1
Turkish Turkey tr_TR-dfki-medium 1
tr_TR-fahrettin-medium 1
tr_TR-fettah-medium 1
Ukrainian Ukraine uk_UA-lada-x_low 1
uk_UA-ukrainian_tts-medium 3
Vietnamese Vietnam vi_VN-25hours_single-low 1
vi_VN-vais1000-medium 1
vi_VN-vivos-x_low 65

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