LUIS lets your app understand language

• LUIS is in beta and free to use
• Supported browsers: Internet Explorer 10/11, Chrome

In LUIS you can:

• Create language understanding models.
• Use pre-built, world-class models from Bing and Cortana.
• Deploy your models to an HTTP endpoint.
• Activate models on any device.

Here is some suggestion and limitation you might want to check before add all you intent. Chinese

Login and go to LUIS key page https://www.luis.ai/home/keys

You can see the API_KEY in "My Keys".

Create a new App (if you don't have one) and in the APP dashboard, you can get APP_ID from web URL. It might be 12341be8-8cfb-471c-b05a-636d58cd5678

Before use this SDK, you must run follow step in luis.ai dashboard.

• Create new app
• Add few intent
• Add Endpoint Key (You could use your API key)
• Publish your model.

go get github.com/kkdai/luis

var API_KEY string
var APPID string

func main() {
	var API_KEY string
	var APPID string

	APPID = os.Getenv("APP_ID")
	API_KEY = os.Getenv("SUB_KEY")

	if API_KEY == "" {
		fmt.Println("Please export your key to environment first, `export SUB_KEY=12234 && export APP_ID=5678`")
	}
	if API_KEY == "" {
		return
	}

	e := NewLuis(API_KEY, APPID)

	res, err := e.IntelList()

	if err != nil {
		log.Error("Error happen on :", err.Err)
	}
	fmt.Println("Got response:", string(res))
	result := NewIntentListResponse(res)
	fmt.Println("Luis Intent Ret", result)

	//Add utterances
	ex := ExampleJson{ExampleText: "test", SelectedIntentName: "test2"}
	res, err = e.AddLabel(ex)

	//Train it
	res, err = e.Train()
	if err != nil {
		log.Error("Error happen on :", err.Err)
	}

	//Predict it, once you have train your models.
	res, err = e.Predict("test string")

	if err != nil {
		log.Error("Error happen on :", err.Err)
	}
	fmt.Println("Got response:", string(res))
	fmt.Println("Get the best predict result:", GetBestScoreIntent(NewPredictResponse(res)))
}

• actionChannels
• intents
• predict
• train
• example
• Versions
• Publish

Need your help to send your PR.

Please open up an issue on GitHub before you put a lot efforts on pull request. The code submitting to PR must be filtered with gofmt

This package is licensed under MIT license. See LICENSE for details.