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feat(genai): Sample/textgen part3 (#4170)
* adding samples, test, lints * adding samples, test, lints * adding samples, test, lints * adding samples, test, lints * adding samples, test, lints --------- Co-authored-by: Guiners <[email protected]>
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‎genai/test/test-data/latte.jpg‎

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‎genai/test/test-data/scones.jpg‎

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‎genai/test/textgen-code-with-pdf.test.js‎

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// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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const {assert} = require('chai');
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const {describe, it} = require('mocha');
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const projectId = process.env.CAIP_PROJECT_ID;
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const sample = require('../text-generation/textgen-code-with-pdf.js');
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describe('textgen-code-with-pdf', () => {
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it('should generate text content from a pdf', async function () {
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this.timeout(100000);
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const output = await sample.generateContent(projectId);
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assert(output.length > 0);
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});
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});

‎genai/test/textgen-with-multi-local-img.test.js‎

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// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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const {assert} = require('chai');
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const {describe, it} = require('mocha');
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const projectId = process.env.CAIP_PROJECT_ID;
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const location = process.env.GOOGLE_CLOUD_LOCATION || 'global';
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const sample = require('../text-generation/textgen-with-multi-local-img.js');
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describe('textgen-with-multi-local-img', () => {
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it('should generate text content from multiple images', async function () {
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this.timeout(100000);
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const imagePath1 = './test/test-data/latte.jpg';
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const imagePath2 = './test/test-data/scones.jpg';
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const output = await sample.generateContent(
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projectId,
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location,
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imagePath1,
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imagePath2
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);
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assert(output.length > 0);
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});
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});

‎genai/text-generation/textgen-code-with-pdf.js‎

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// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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// [START googlegenaisdk_textgen_code_with_pdf]
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const {GoogleGenAI} = require('@google/genai');
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const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
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const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global';
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async function generateContent(
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projectId = GOOGLE_CLOUD_PROJECT,
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location = GOOGLE_CLOUD_LOCATION
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) {
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const ai = new GoogleGenAI({
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vertexai: true,
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project: projectId,
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location: location,
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});
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const contents = [
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{
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role: 'user',
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parts: [
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{text: 'Convert this python code to use Google Python Style Guide.'},
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{
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fileData: {
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fileUri:
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'https://storage.googleapis.com/cloud-samples-data/generative-ai/text/inefficient_fibonacci_series_python_code.pdf',
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mimeType: 'application/pdf',
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},
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},
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],
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},
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];
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const response = await ai.models.generateContent({
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model: 'gemini-2.5-flash',
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contents: contents,
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});
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console.log(response.text);
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return response.text;
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}
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// Example response:
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// Here's the Python code converted to adhere to the Google Python Style Guide, along with explanations for the changes:
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//
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// ```python
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// """Calculates the Fibonacci sequence up to n numbers.
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//
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// This module provides a function to generate a Fibonacci sequence,
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// demonstrating adherence to the Google Python Style Guide.
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// """
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//
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// def fibonacci(n: int) -> list[int]:
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// """Calculates the Fibonacci sequence up to n numbers.
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//
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// This function generates the first 'n' terms of the Fibonacci sequence,
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// starting with 0, 1, 1, 2...
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// ...
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// [END googlegenaisdk_textgen_code_with_pdf]
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module.exports = {
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generateContent,
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};

‎genai/text-generation/textgen-with-multi-local-img.js‎

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// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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// [START googlegenaisdk_textgen_with_multi_local_img]
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const {GoogleGenAI} = require('@google/genai');
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const fs = require('fs');
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const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
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const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global';
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function loadImageAsBase64(path) {
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const bytes = fs.readFileSync(path);
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return bytes.toString('base64');
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}
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async function generateContent(
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projectId = GOOGLE_CLOUD_PROJECT,
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location = GOOGLE_CLOUD_LOCATION,
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imagePath1,
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imagePath2
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) {
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const ai = new GoogleGenAI({
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vertexai: true,
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project: projectId,
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location: location,
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});
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// TODO(Developer): Update the below file paths to your images
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const image1 = loadImageAsBase64(imagePath1);
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const image2 = loadImageAsBase64(imagePath2);
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const response = await ai.models.generateContent({
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model: 'gemini-2.5-flash',
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contents: [
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{
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role: 'user',
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parts: [
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{
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text: 'Generate a list of all the objects contained in both images.',
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},
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{
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inlineData: {
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data: image1,
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mimeType: 'image/jpeg',
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},
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},
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{
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inlineData: {
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data: image2,
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mimeType: 'image/jpeg',
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},
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},
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],
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},
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],
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});
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console.log(response.text);
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return response.text;
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}
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// Example response:
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// Okay, here's a jingle combining the elements of both sets of images, focusing on ...
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// ...
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// [END googlegenaisdk_textgen_with_multi_local_img]
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module.exports = {
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generateContent,
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};

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