Natural language virtual assistant using Node + Bootstrap
https://www.youtube.com/watch?v=4EF_qEYNNwU
- Node 6
Install Yarn https://yarnpkg.com/en/docs/install
Clone repo, cd into its directory and type yarn & yarn start
Add api info for http://openweathermap.org/api and https://newsapi.org/account to config/index.js
Open Chrome and enter http://localhost:4567/
Say Hey Brain, Brain or Okay Brain followed by your query (i.e Hey Brain, What is the weather in Paris).
Add a skill by creating a new folder with the name of your new skill and adding an index.js.
Add functions for intent and {skill_name}_resp to that index, the latter contining the logic that will respond to a query. The {skill_name}_resp function must have a response type of String
In intent add return {keywords:['key 1','key 2'], module:'{skill_name}'} where keywords are the phrases you wish the skill to respond to and {skill_name} is the name of your new skill.
Add module.exports = {intent, get: {skill_name}_resp}; to the end of your index.js
Add that new folder to the skills directory in the project.
And bang, Brain will automatically import and enable your new skill!
http://localhost:4567/api/ask?q={query}
http://localhost:4567/
The Raspberry Pi Client for this project is available here: https://github.com/patrickjquinn/P-Brain.ai-RasPi
Coming Soon!
You can run this application via Docker. Prequisites are that you have docker installed and cloned this repository locally. Then execute the following command to create an docker image called p-brain and a container called p-brain.
docker build -t p-brain .
docker run --name=p-brain --net=host -v `pwd`:/home/app -v /home/app/node_modules -p 4567:4567 p-brain npm start
After doing this you can stop the container by running docker stop p-brain. Starting it again
is done by running docker start p-brain.
- One can ask brain about 'trip to mordor'
- or 'what is love'
