Official Klasifikasi API Client Library
Node v12 or later
npm install klasifikasi-js
You will need valid clientId & clientSecret of your model. You can get those
from credential section at your model page, which is both unique per model.
import Klasifikasi from "klasifikasi-js";
await Klasifikasi.build({
creds: [
{
clientId: "client-id",
clientSecret: "client-secret",
},
],
});You can pass multiple clientId & clientSecret too
import Klasifikasi from "klasifikasi-js";
await Klasifikasi.build({
creds: [
{
clientId: "client-id-1",
clientSecret: "client-secret-1",
},
{
clientId: "client-id-2",
clientSecret: "client-secret-2",
},
],
});You will need your model publicId to start classifying with your model. You
can get your model publicId from you model page, or you can get it from here :
const models = Klasifikasi.getModels();
console.log(models);
/*
the output should be like this
{
[publicId: string]: {
name: string,
credential: {
clientId: string,
clientSecret: string,
token: string,
expiredAt: number
},
tags: {
name: string,
description: string | null,
descriptionWeight: string | null
}[]
}
}
*/classifying example
const result = await Klasifikasi.classify("publicId", "query");
console.log(result);
/*
the output should be like this
{
result: {
label: string,
score: number
}[]
}
*/or with dynamic tags
const result = await Klasifikasi.zslClassify(
"publicId",
"query",
["tag1", "tag2", "etc"],
multiClass
);
console.log(result);
/*
the output should be like this
{
result: {
label: string,
score: number
}[]
}
*/const result = await Klasifikasi.qamodelFind('Cara logging di javascript bagaimana ?', 'Cara logging pada javascript adalah console.log()')
console.log(result)
/** The output should be like this
[
{
answer: string,
context: string,
end: number,
score: number,
start: number
}
] */const result = await Klasifikasi.qamodelBulkFind([
{
question: 'Kapan indonesia merdeka?',
context: 'Indonesia merdeka pada tanggal 17 Agustus 1945'
},
{
question: 'Hai ini rakyat indonesia memperingati hari kemerdekaan mereka yang ke berapa?',
context: 'Bulan ini, rakyat Indonesia akan memperingati hari kemerdekaan mereka yang ke 70 pada tanggal 17 Agustus'
}
])
console.log(result)
/** The output should be like this
{
result: [
{
answer: {
answer: string,
end: number,
score: number,
start: number
},
context: string,
question: string,
},
...
]
} */You can get your classifying logs based on your model publicId
const logs = Klasifikasi.logs("publicId", {
startedAt: new Date("1 December 2020"),
endedAt: new Date("2 December 2020"),
take: 100,
skip: 0,
});
console.log(logs);
/*
the output should be like this
{
histories: {
createdAt: Date,
updatedAt: Date,
deletedAt: Date,
id: number,
model: string,
modelResult: {
label: string,
score: number
}[]
modelCurrentName: string,
ipInfo: {
ip: string
},
userId: number,
aiModelId: number,
}[],
length: number
}
*/endedAt & startedAt parameter is mandatory, the rest is optional.
All the function above will throw an error if something bad happen. The error object will have the same structure.
{
status?: number // http status codes,
body: {
error: string
}
}
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