################## SUSI.AI Server ##################
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SUSI.AI is an intelligent Open Source personal assistant. It is capable of chat and voice interaction by using APIs to perform actions such as music playback, making to-do lists, setting alarms, streaming podcasts, playing audiobooks, and providing weather, traffic, and other real-time information. Additional functionalities can be added as console services using external APIs. SUSI.AI is able to answer questions and depending on the context will ask for additional information in order to perform the desired outcome. The core of the assistant is the SUSI.AI server that holds the "intelligence" and "personality" of SUSI.AI. The Android and web applications make use of the APIs to access information from a hosted server.
Development: An automatic deployment from the development branch at GitHub is available for tests at https://susi-server.herokuapp.com
Master: The master branch is planned to be deployed on https://api.susi.ai. Currently, the deployment is taking place each hour at xx.45 using the development branch. We are planning to switch to the Master branch for production soon.
There are two branches targetting deployment, "dev-dist" and "stable-dist". The former is intended to be used in conjunction with the development versions of "susi_linux", while the later with the stable (from the "master" branch). These two branches are currently updated manually from "susi_server_binary_latest.tar.gz" (see below), but future integration will update "dev-dist" regularly.
Please join our mailing list to discuss questions regarding the project: https://groups.google.com/forum/#!forum/opntec-dev/
Our chat channel is on gitter here: https://gitter.im/fossasia/susi_server
How do I install Susi: Download, Build, Run
- You must be logged in to Docker Cloud for the button to work correctly. If you are not logged in, you'll see a 404 error instead.
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At this time, SUSI.AI is not provided in the compiled form, you easily build it yourself. It's not difficult and done in one minute! The source code is hosted at https://github.com/fossasia/susi_server, you can download it and run SUSI.AI with (Before installation you must have "Java Development Kit" latest version at http://openjdk.java.net/install/ & "Gradle" latest version at https://gradle.org/install/):
.. note:: - For Armv6 processors (e.g. Raspberry Pi Zero / Zero W/ Zero WH/ 1A / 1B), please make sure that your system is using Java 8 (Oracle or OpenJDK) as there are some compatibility issues for Armv6 processors. - You may use the following command to install OpenJDK's Java 8 JRE and JDK:
> sudo apt install openjdk-8-jdk-headless
> git clone https://github.com/fossasia/susi_server.git > cd susi_server > ./gradlew build > bin/start.sh
For Windows Users (who are using GitBash/Cygwin or any terminal):
> git clone https://github.com/fossasia/susi_server.git > cd susi_server > git checkout master > ant jar > java -jar dist/susiserver.jar > git checkout development > ant jar > java -jar dist/susiserver.jar
To stop: > Press Ctrl+C
After all server processes are running, SUSI.AI tries to open a browser page itself. If that does not happen, just open http://localhost:4000; if you made the installation on a headless or remote server, then replace 'localhost' with your server name.
To stop SUSI.AI, run: (this will block until the server has actually terminated)
A self-upgrading process is available which must be triggered by a shell command. Just run:
Where can I download ready-built releases of SUSI.AI?
The latest binary built can be downloaded from http://download.susi.ai/susi_server/susi_server_binary_latest.tar.gz
To run susi, do: tar xfz susi_server_binary_latest.tar.gz cd susi_server_binary_latest java -server -Xmx200m -jar build/libs/susi_server-all.jar
How do I install SUSI.AI with Docker on Google Cloud?
To install SUSI.AI with Docker on Google Cloud please refer to the
Susi Docker installation readme </docs/installation/installation_docker_gcloud.md>__.
How do I install SUSI.AI with Docker on AWS?
To install SUSI.AI with Docker on AWS please refer to the
Susi Docker installation readme </docs/installation/installation_docker_aws.md>__.
How do I install SUSI.AI with Docker on Bluemix?
To install SUSI.AI with Docker on Bluemix please refer to the
Susi Docker installation readme </docs/installation/installation_docker_bluemix.md>__.
How do I install SUSI.AI with Docker on Microsoft Azure?
To install SUSI.AI with Docker on Azure please refer to the
Susi Docker installation readme </docs/installation/installation_docker_azure.md>__.
How do I install SUSI.AI with Docker on Digital Ocean?
To install SUSI.AI with Docker on Digital Ocean please refer to the
Susi Docker installation readme </docs/installation/installation_docker_digitalocean.md>__.
How do I deploy SUSI.AI with Heroku?
You can easily deploy to Heroku by clicking the Deploy to Heroku button above. To install SUSI.AI using Heroku Toolbelt, please refer to the
Susi Heroku installation readme </docs/installation/installation_heroku.md>__.
How do I deploy SUSI.AI with cloud9?
To install SUSI.AI with cloud9 please refer to the
Susi cloud9 installation readme </docs/installation/installation_cloud9.md>__.
How do I setup SUSI.AI on Eclipse?
To install SUSI.AI on Eclipse, please refer to the
Susi Eclipse readme </docs/installation/eclipseSetup.md>__.
How to setup auto deployment to a VPS using travis
To auto deploy SUSI.AI to a VPS using travis, please refer to the
readme file </docs/installation/auto_deploy_to_vps_with_travis.md>__.
How do I run SUSI.AI?
http://localhost:4000in your browser
How do I configure SUSI.AI?
The basis configuration file is in
conf/config.properties. To customize these settings place a file
customized_config.properties to the path
How to compile using Gradle?
To install Gradle on Ubuntu: ::
$ sudo add-apt-repository ppa:cwchien/gradle $ sudo apt-get update $ sudo apt-get install gradle
To install Gradle on Mac OS X with homebrew ::
brew install gradle
To compile, first, create dir necessary for Gradle ::
Compile the source to classes and a jar file ::
The compiled file can be found in build dir Last, clean up so that we can still build the project using Ant :: ./gradle_clean.sh
How do I develop Skills (AI Conversation Rules) for SUSI.AI?
The SUSI.AI skill language is described in the
Skill Development Tutorial <https://github.com/fossasia/susi_skill_cms/blob/master/docs/Skill_Tutorial.md>__.
How to utilize Susi skill data in SUSI.AI server?
If you simply want to add your skill to the SUSI.AI online service, please go to https://skills.susi.ai and add your skill.
For your own deployments: The
Susi skill data <https://github.com/fossasia/susi_skill_data>__ is the storage place for the Susi skills. To make Susi server utilize these skills, clone Susi skill data alongside Susi server.
If you want to create private skills in your local server, you should create a local git repository
susi_private_skill_data alongside Susi server. Then you must create a local git host:
> cd <above susi home> > mkdir susi_private_skill_data_host > cd susi_private_skill_data_host > git init —bare > cd ../susi_private_skill_data > git remote add origin <path to susi_private_skill_data_host> > git push --set-upstream origin master
Why should I use SUSI.AI?
If you like to create your own AI, then you may consider SUSI.AI.
Where can I find API documentation?
The Documentation can be found
Where do I find the javadocs?
You can build them via 'ant javadoc'
Where can I report bugs and make feature requests?
This project is considered a community work. The development team consists of you too. We are very thankful for the pull request. So if you discovered that something can be enhanced, please do it yourself and make a pull request. If you find a bug, please try to fix it. If you report a bug to us, We will possibly consider it but at the very end of a giant, always growing heap of work. The best chance for you to get things done is to try it yourself. Our
issue tracker is here <https://github.com/fossasia/susi_server/issues>__.
What is the Development Workflow?
After selecting the issue
Start off from your
development branch and make sure it is up-to-date with the latest version of the committer repo's
development branch. Make sure you are working in development branch only.
git pull upstream development
If you have not added upstream follow the steps given
Commit style guidelines <docs/commitStyle.md>__.
Once a PR is opened, try and complete it within 2 weeks, or at least stay actively working on it. Inactivity for a long period may necessitate a closure of the PR. As mentioned earlier updates would be nice.
Your code will be reviewed, in this sequence, by:
What is the software license?
LGPL 2.1 <LICENSE>__
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