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feat: text classifiction sample for Vertex LLMs
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gericdong committed Jun 4, 2023
1 parent f3b0100 commit 9ee3abf
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113 changes: 113 additions & 0 deletions ai-platform/snippets/predict-text-news-classification.js
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/*
* Copyright 2023 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

'use strict';

async function main(project, location = 'us-central1') {
// [START aiplatform_sdk_classify_news_items]
/**
* TODO(developer): Uncomment these variables before running the sample.\
* (Not necessary if passing values as arguments)
*/
// const project = 'YOUR_PROJECT_ID';
// const location = 'YOUR_PROJECT_LOCATION';
const aiplatform = require('@google-cloud/aiplatform');

// Imports the Google Cloud Prediction service client
const {PredictionServiceClient} = aiplatform.v1;

// Import the helper module for converting arbitrary protobuf.Value objects.
const {helpers} = aiplatform;

// Specifies the location of the api endpoint
const clientOptions = {
apiEndpoint: 'us-central1-aiplatform.googleapis.com',
};

const publisher = 'google';
const model = 'text-bison@001';

// Instantiates a client
const predictionServiceClient = new PredictionServiceClient(clientOptions);

async function callPredict() {
// Configure the parent resource
const endpoint = `projects/${project}/locations/${location}/publishers/${publisher}/models/${model}`;

const instance = {
content: `What is the topic for a given news headline?
- business
- entertainment
- health
- sports
- technology
Text: Pixel 7 Pro Expert Hands On Review, the Most Helpful Google Phones.
The answer is: technology
Text: Quit smoking?
The answer is: health
Text: Roger Federer reveals why he touched Rafael Nadals hand while they were crying
The answer is: sports
Text: Business relief from Arizona minimum-wage hike looking more remote
The answer is: business
Text: #TomCruise has arrived in Bari, Italy for #MissionImpossible.
The answer is: entertainment
Text: CNBC Reports Rising Digital Profit as Print Advertising Falls
The answer is:
`,
};
const instanceValue = helpers.toValue(instance);
const instances = [instanceValue];

const parameter = {
temperature: 0.2,
maxOutputTokens: 5,
topP: 0,
topK: 1,
};
const parameters = helpers.toValue(parameter);

const request = {
endpoint,
instances,
parameters,
};

// Predict request
const [response] = await predictionServiceClient.predict(request);
console.log('Get text classification response');
const predictions = response.predictions;
console.log('\tPredictions :');
for (const prediction of predictions) {
console.log(`\t\tPrediction : ${JSON.stringify(prediction)}`);
}
}

callPredict();
// [END aiplatform_sdk_classify_news_items]
}

process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});

main(...process.argv.slice(2));
40 changes: 40 additions & 0 deletions ai-platform/snippets/test/predict-text-news-classification.test.js
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/*
* Copyright 2023 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

'use strict';

const path = require('path');
const {assert} = require('chai');
const {describe, it} = require('mocha');

const cp = require('child_process');
const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
const cwd = path.join(__dirname, '..');

const project = process.env.CAIP_PROJECT_ID;
const location = 'us-central1';

describe('AI platform predict text classification', () => {
it('should make predictions using a large language model', async () => {
const stdout = execSync(
`node ./predict-text-news-classification.js ${project} ${location}`,
{
cwd,
}
);
assert.match(stdout, /Get text classification response/);
});
});

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