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assistant-0.9.9a0


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توضیحات

Your very own Assistant. Because you deserve it.
ویژگی مقدار
سیستم عامل -
نام فایل assistant-0.9.9a0
نام assistant
نسخه کتابخانه 0.9.9a0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Danny Waser
ایمیل نویسنده danny@waser.tech
آدرس صفحه اصلی https://gitlab.com/waser-technologies/technologies/assistant
آدرس اینترنتی https://pypi.org/project/assistant/
مجوز MIT
<p align="center" style="font-size: 500%">🧞‍♂️</p> # <p align="center">𝔸𝕤𝕤𝕚𝕤𝕥𝕒𝕟𝕥</p> <p align="center">Your very own Assistant. Because you deserve it.</p> ## Requirements You need `python 3` with the following requirements: - `Python 3.x` - [`Domain Management Tool`](https://gitlab.com/waser-technologies/technologies/dmt) - (optional) [`say`](https://gitlab.com/waser-technologies/technologies/say) - (optional) [`listen`](https://gitlab.com/waser-technologies/technologies/listen) - min. 12 Gb RAM - min. 30 Gb availible disk space - (optional, recommended) min. 11 Gb VRAM on a Nvidia GPU - May require an internet connection to download the models initially ## Installation To install `Assistant` use `pip`: ```bash pip install assistant ``` Using an arch based distro. (Availible on the [AUR](https://aur.archlinux.org/packages/python-assistant) and pre-built on [Singularity](https://github.com/wasertech/singularity/releases/tag/x86_64)) ```zsh pacman -S python-assistant ``` From source: ```bash pip install -U git+https://gitlab.com/waser-technologies/technologies/assistant.git ``` From local source ```bash git clone https://gitlab.com/waser-technologies/technologies/assistant.git ./assistant cd assistant pip install -U . ``` ## Start the service To talk with Assistant, you need to load the service up first. ```bash cp ./assistant.service.example /usr/usr/lib/systemd/user/assistant.service systemctl --user enable --now dmt assistant ``` (optional) enable listen for assistant ```bash cp ./assistant.listen.service.example /usr/usr/lib/systemd/user/assistant.listen.service systemctl --user enable --now assistant.listen ``` Or manually from python: ```bash dmt -S & # load the NLP models # sleep 60 && # wait for the models to load # python -m assistant.as_service & # Assistance is a service # python -m listen.STT.as_service & # optional # # let assistant listen when you speak # python -m assistant.listen ``` Once the service is up, you can type or say `assistant`. Note that you need the `dmt` service loaded up first. First time you use the `dmt` to serve NLP models with `rasa`, the `dmt` will download the latest pre-build models for your language and install the required domains. However it's recommended that you acually use the `dmt` to train your own models based on the domains you want to use and have installed. ``` # List installed domains dmt -L # Validate the data and train dmt -V -T # You now can serve your last trained model dmt -S ``` ## Usage Just call `Assistant` like any other shell. ```bash ❯ assistant --help usage: assistant [-h] [-V] [-c COMMAND] [-i] [-l] [--rc RC [RC ...]] [--no-rc] [--no-script-cache] [--cache-everything] [-D ITEM] [--shell-type {b,best,d,dumb,ptk,ptk1,ptk2,prompt-toolkit,prompt_toolkit,prompt-toolkit1,prompt-toolkit2,prompt-toolkit3,prompt_toolkit3,ptk3,rand,random,rl,readline}] [--timings] [script-file] ... Assistant: a clever shell implementation positional arguments: script-file If present, execute the script in script-file or (if not present) execute as a command and exit. args Additional arguments to the script (or command) specified by script-file. optional arguments: -h, --help Show help and exit. -V, --version Show version information and exit. -c COMMAND Run a single command and exit. -i, --interactive Force running in interactive mode. -l, --login Run as a login shell. --rc RC [RC ...] RC files to load. --no-rc Do not load any rc files. --no-script-cache Do not cache scripts as they are run. --cache-everything Use a cache, even for interactive commands. -D ITEM Define an environment variable, in the form of -DNAME=VAL. May be used many times. --shell-type {b,best,d,dumb,ptk,ptk1,ptk2,prompt-toolkit,prompt_toolkit,prompt-toolkit1,prompt-toolkit2,prompt-toolkit3,prompt_toolkit3,ptk3,rand,random,rl,readline} What kind of shell should be used. Possible options: readline, prompt_toolkit, random. Warning! If set this overrides $SHELL_TYPE variable. --timings Prints timing information before the prompt is shown. This is useful while tracking down performance issues and investigating startup times. ❯ assistant Hi Hey, how are you today? ❯ assistant -c "what time is it" The current time is 1:35 p.m. ❯ assistant -i -l --no-rc --no-script-cache -DPATH="PATH:/share/assistant/" ❯ assistant script.nlp ``` ## Examples The examples below are produced in interactive mode. ### Jaques à dit: répond ```assistant ❯ echo Hello Hello ❯ say Hello World # This requires say to be installed Hello World ❯ Hi Assistant. Hello $USERNAME. ``` ### Navigate files ```assistant ❯ Where am I You are at home. ❯ Open Documents You are now in the Documents directory inside home. ❯ What do we have here? Listing the current working directory. ... ``` ### Get to the bottom of things Using [WebSearch](https://gitlab.com/waser-technologies/data/nlu/en/web-search) domain, you can get pretty meaningful answers. ```assistant ❯ How many moons does Saturn have? I'll need a moment. ❯ Take your time. I think I have found the answer to how many moons Saturn has. Saturn has 83 moons. ❯ How old is the universe? Give me a moment. I know how old the universe is. The universe is 13.7 billion years old. ``` ### Exit the session To exit the current session, you can type pretty much anything. As long as `Assistant` can reasonnably understand your intent. *i.e.* : ```assistant ❯ exit ❯ Q ❯ :q ❯ quit ❯ stop() ❯ terminate ❯ This conversation is over. ❯ Stop this session. ``` ## Using voice ### Text-To-Speech Assistant can talk. Just install [`say`](https://gitlab.com/waser-technologies/technologies/say) and authorize the system to speak. Make sure the service is running and Assistant should be able to connect to it. Within an interactve session with Assistant, you can toggle TTS using either: - the `Interface` menu, - the keyboard shortcut `[Ctrl] + [S]` - Assistant by authorizing it to speak (e.g. `assistant you can speak now`). ```assistant assistant say Hello World and welcome to everyone. ``` ### Speech-To-Text Assistant can also understand when you talk. Just install [`listen`](https://gitlab.com/waser-technologies/technologies/listen) and authorize the system to listen. Make sure `listen.service`, `assistant.service` and `assistant.listen.service` are enabled for Assistant to be able to pick up what you say. By default, neither the accoustic model nor the language model are ajusted for Assistant, so it's a good idea to at least create a custom scorer using the STT Training Wizard. ```zsh trainer=~/.assistant/trainers/stt.train git archive --remote=git@gitlab.com:waser-technologies/models/en/stt.git HEAD | tar xvf - model.train mv model.train $trainer chmod +x $trainer zsh $trainer ``` ## Use Assistant as your default shell > **This is not recommended in alpha!** You sould be able to add the location of `assistant` at the end of `/etc/shells`. You'll then be able to set `Assistant` as your default shell using `chsh`. ```bash sudo sh -c 'w=$(which assistant); echo $w >> /etc/shells' chsh -s $(which assistant) ``` Log out and when you come back, `Assistant` will be your default shell. ## Contributions You like the projet and want to improve upon it? Checkout [`CONTRIBUTING.md`](CONTRIBUTING.md) to see how you might be able to help. ## Credits Thanks to all the projects that make this possible: - [Xonsh](https://github.com/xonsh/xonsh): the best snail in the jungle - [RASA](https://github.com/RasaHQ/rasa): so Assistant can answer at all - [coqui-STT](https://github.com/coqui-ai/STT): so you can speak too - [coqui-TTS](https://github.com/coqui-ai/TTS): so Assistant can reply out-loud - And many many many more.


نیازمندی

مقدار نام
>=1.5.1 dmt
- ftfy
- pydub
- pygments
- xonsh
- attrs
- questionary
- transformers
- sentencepiece


زبان مورد نیاز

مقدار نام
>=3.8,<3.11 Python


نحوه نصب


نصب پکیج whl assistant-0.9.9a0:

    pip install assistant-0.9.9a0.whl


نصب پکیج tar.gz assistant-0.9.9a0:

    pip install assistant-0.9.9a0.tar.gz