Classificar texto em categorias pré-definidas

import { SDK } from "@meetkai/mka1";

const sdk = new SDK({
  bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await sdk.llm.classify.classify({
    classificationRequest: {
      model: "meetkai:functionary-urdu-mini-pak",
      text: "I absolutely love this product! Best purchase ever.",
      labels: [
        "positive",
        "negative",
        "neutral",
      ],
    },
  });

  console.log(result);
}

run();

package main

import(
	"context"
	mka1 "github.com/MeetKai/mka1-sdks/go"
	"github.com/MeetKai/mka1-sdks/go/models/components"
	"log"
)

func main() {
    ctx := context.Background()

    s := mka1.New(
        mka1.WithSecurity("<YOUR_BEARER_TOKEN_HERE>"),
    )

    res, err := s.Llm.Classify.Classify(ctx, components.ClassificationRequest{
        Model: "meetkai:functionary-urdu-mini-pak",
        Text: "I absolutely love this product! Best purchase ever.",
        Labels: []string{
            "positive",
            "negative",
            "neutral",
        },
    }, nil)
    if err != nil {
        log.Fatal(err)
    }
    if res.ClassificationResponse != nil {
        // handle response
    }
}

using MeetKai.MKA1;
using MeetKai.MKA1.Types.Components;
using System.Collections.Generic;

var sdk = new SDK(bearerAuth: "<YOUR_BEARER_TOKEN_HERE>");

var res = await sdk.Llm.Classify.ClassifyAsync(body: new ClassificationRequest() {
    Model = "meetkai:functionary-urdu-mini-pak",
    Text = "I absolutely love this product! Best purchase ever.",
    Labels = new List<string>() {
        "positive",
        "negative",
        "neutral",
    },
});

// handle response

from meetkai_mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.classify.classify(model="meetkai:functionary-urdu-mini-pak", text="I absolutely love this product! Best purchase ever.", labels=[
        "positive",
        "negative",
        "neutral",
    ])

    # Handle response
    print(res)

curl --request POST \
  --url https://apigw.mka1.com/api/v1/llm/classify \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "meetkai:functionary-urdu-mini-pak",
  "text": "I absolutely love this product! Best purchase ever.",
  "labels": [
    "positive",
    "negative",
    "neutral"
  ]
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'meetkai:functionary-urdu-mini-pak',
    text: 'I absolutely love this product! Best purchase ever.',
    labels: ['positive', 'negative', 'neutral']
  })
};

fetch('https://apigw.mka1.com/api/v1/llm/classify', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://apigw.mka1.com/api/v1/llm/classify",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => 'meetkai:functionary-urdu-mini-pak',
    'text' => 'I absolutely love this product! Best purchase ever.',
    'labels' => [
        'positive',
        'negative',
        'neutral'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

HttpResponse<String> response = Unirest.post("https://apigw.mka1.com/api/v1/llm/classify")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"meetkai:functionary-urdu-mini-pak\",\n  \"text\": \"I absolutely love this product! Best purchase ever.\",\n  \"labels\": [\n    \"positive\",\n    \"negative\",\n    \"neutral\"\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://apigw.mka1.com/api/v1/llm/classify")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"meetkai:functionary-urdu-mini-pak\",\n  \"text\": \"I absolutely love this product! Best purchase ever.\",\n  \"labels\": [\n    \"positive\",\n    \"negative\",\n    \"neutral\"\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "success": true,
  "data": {
    "label": "positive",
    "confidence": 0.92,
    "reasoning": "The text expresses strong enthusiasm with phrases like 'absolutely love' and 'best purchase ever'."
  },
  "metadata": {
    "model": "meetkai:functionary-urdu-mini-pak",
    "labels": [
      "positive",
      "negative",
      "neutral"
    ],
    "classified_at": "2024-01-15T10:30:00Z"
  }
}