如何用 PHP 访问人工智能模型？

composer require google/cloud-aiplatform

<?php

use Google\Cloud\AIPlatform\V1\EndpointName;
use Google\Cloud\AIPlatform\V1\PredictSchemata\Prediction;
use Google\Cloud\AIPlatform\V1\PredictionServiceClient;
use Google\Protobuf\Any;

/**
 * Deploys the Prediction service using the AI Platform endpoint.
 *
 * @param string $projectId  Your GCP project ID.
 * @param string $location  Your GCP region (e.g. 'us-central1').
 * @param string $endpointId  The ID of your AI Platform Endpoint (e.g. '12345').
 * @param array $instance  Your JSON-encoded prediction instance array or array of arrays.
 */
function predict(
    string $projectId,
    string $location,
    string $endpointId,
    array $instance
): void {
    $endpoint = new EndpointName($projectId, $location, $endpointId);

    // Convert JSON-encoded instance array(s) to PHP array(s).
    $convertedInstance = [];
    foreach ($instance as $instanceRow) {
        $convertedInstanceRow = json_decode($instanceRow);
        if ($convertedInstanceRow === null) {
            throw new \Exception('Invalid JSON in $instance.');
        }
        $convertedInstance[] = $convertedInstanceRow;
    }

    // Instantiation of a client.
    $clientOptions = ['apiEndpoint' => 'us-central1-aiplatform.googleapis.com:443'];
    $client = new PredictionServiceClient($clientOptions);

    // Set the parameters for the predict call.
    $parameters = [];
    $encodedInstance = new Any();
    $encodedInstance->pack(
        (new Prediction())
            ->setInstances($convertedInstance)
            ->setSerialize()
    );
    $parameters['instances'] = $encodedInstance;

    // Send the prediction request.
    $response = $client->predict($endpoint, $parameters);
    printf('Raw response: %s' . PHP_EOL, $response->serializeToJsonString());

    $predictionsResult = $response->getPredictions();
    printf(
        'Predicted class name(s): %s' . PHP_EOL,
        implode(', ', $predictionsResult[0]->getDisplayNames())
    );
    printf(
        'Predicted class score(s): %s' . PHP_EOL,
        implode(', ', $predictionsResult[0]->getConfidences())
    );
}

php predict my-project us-central1 my-endpoint '[{ "petal_length": 5.1, "petal_width": 3.5, "sepal_length": 1.4, "sepal_width": 0.2 }]'