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pattishin authored Feb 7, 2024
2 parents d3201f0 + 9f3c79d commit 27b1023
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96 changes: 96 additions & 0 deletions ai-platform/snippets/predict-image-from-image-and-text.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',
baseImagePath,
textPrompt
) {
// [START aiplatform_sdk_text_image_embedding]
/**
* 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 bastImagePath = "YOUR_BASED_IMAGE_PATH"
// const textPrompt = 'YOUR_TEXT_PROMPT';
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 = 'multimodalembedding@001';

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

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

const fs = require('fs');
const imageFile = fs.readFileSync(baseImagePath);

// Convert the image data to a Buffer and base64 encode it.
const encodedImage = Buffer.from(imageFile).toString('base64');

const prompt = {
text: textPrompt,
image: {
bytesBase64Encoded: encodedImage,
},
};
const instanceValue = helpers.toValue(prompt);
const instances = [instanceValue];

const parameter = {
sampleCount: 1,
};
const parameters = helpers.toValue(parameter);

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

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

await predictImageFromImageAndText();
// [END aiplatform_sdk_text_image_embedding]
}

exports.predictImageFromImageAndText = main;
81 changes: 81 additions & 0 deletions ai-platform/snippets/predict-image-from-text.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', textPrompt) {
// [START aiplatform_sdk_text_embedding]
/**
* 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 textPrompt = 'YOUR_TEXT_PROMPT';
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 = 'multimodalembedding@001';

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

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

const prompt = {
text: textPrompt,
};
const instanceValue = helpers.toValue(prompt);
const instances = [instanceValue];

const parameter = {
sampleCount: 1,
};
const parameters = helpers.toValue(parameter);

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

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

await predictImageFromText();
// [END aiplatform_sdk_text_embedding]
}

exports.predictImageFromText = main;
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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 {assert} = require('chai');
const {describe, it} = require('mocha');
const sinon = require('sinon');

const {
predictImageFromImageAndText,
} = require('../predict-image-from-image-and-text');

const project = process.env.CAIP_PROJECT_ID;
const LOCATION = 'us-central1';
const baseImagePath = 'resources/daisy.jpg';
const textPrompt = 'an impressionist painting';

describe('AI platform generates image from image and text', async () => {
const stubConsole = function () {
sinon.stub(console, 'error');
sinon.stub(console, 'log');
};

const restoreConsole = function () {
console.log.restore();
console.error.restore();
};

beforeEach(stubConsole);
afterEach(restoreConsole);

it('should make predictions using a large language model', async () => {
await predictImageFromImageAndText(
project,
LOCATION,
baseImagePath,
textPrompt
);
assert.include(console.log.firstCall.args, 'Get image embedding response');
});
});
48 changes: 48 additions & 0 deletions ai-platform/snippets/test/predict-image-from-text.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 {assert} = require('chai');
const {describe, it} = require('mocha');
const sinon = require('sinon');

const {predictImageFromText} = require('../predict-image-from-text');

const project = process.env.CAIP_PROJECT_ID;
const LOCATION = 'us-central1';
const textPrompt =
'small red boat on water in the morning watercolor illustration muted colors';

describe('AI platform generates image from text', async () => {
const stubConsole = function () {
sinon.stub(console, 'error');
sinon.stub(console, 'log');
};

const restoreConsole = function () {
console.log.restore();
console.error.restore();
};

beforeEach(stubConsole);
afterEach(restoreConsole);

it('should make predictions using a large language model', async () => {
await predictImageFromText(project, LOCATION, textPrompt);
assert.include(console.log.firstCall.args, 'Get image embedding response');
});
});

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