Skip to content
Open
Show file tree
Hide file tree
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
159 changes: 159 additions & 0 deletions genai/bounding-box/boundingbox-with-txt-img.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,159 @@
// Copyright 2025 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';

// [START googlegenaisdk_boundingbox_with_txt_img]
const {GoogleGenAI} = require('@google/genai');

const {createCanvas, loadImage} = require('canvas');
const fetch = require('node-fetch');
const fs = require('fs');

const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global';

async function fetchImageAsBase64(uri) {
const response = await fetch(uri);
const buffer = await response.buffer();
return buffer.toString('base64');
}

async function plotBoundingBoxes(imageUri, boundingBoxes) {
console.log('Creating bounding boxes');
const image = await loadImage(imageUri);
const canvas = createCanvas(image.width, image.height);
const ctx = canvas.getContext('2d');

ctx.drawImage(image, 0, 0);

const colors = ['red', 'blue', 'green', 'orange'];

boundingBoxes.forEach((bbox, i) => {
const [yMin, xMin, yMax, xMax] = bbox.box_2d;

const absYMin = Math.floor((yMin / 1000) * image.height);
const absXMin = Math.floor((xMin / 1000) * image.width);
const absYMax = Math.floor((yMax / 1000) * image.height);
const absXMax = Math.floor((xMax / 1000) * image.width);

ctx.strokeStyle = colors[i % colors.length];
ctx.lineWidth = 4;
ctx.strokeRect(absXMin, absYMin, absXMax - absXMin, absYMax - absYMin);

ctx.fillStyle = colors[i % colors.length];
ctx.font = '20px Arial';
ctx.fillText(bbox.label, absXMin + 8, absYMin + 20);
});

fs.writeFileSync('output.png', canvas.toBuffer('image/png'));
console.log('Saved output to file: output.png');
}

async function createBoundingBox(
projectId = GOOGLE_CLOUD_PROJECT,
location = GOOGLE_CLOUD_LOCATION
) {
const client = new GoogleGenAI({
vertexai: true,
project: projectId,
location: location,
});

const systemInstruction = `
Return bounding boxes as an array with labels.
Never return masks. Limit to 25 objects.
If an object is present multiple times, give each object a unique label
according to its distinct characteristics (colors, size, position, etc.).
`;

const safetySettings = [
{
category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
threshold: 'BLOCK_ONLY_HIGH',
},
];

const imageUri =
'https://storage.googleapis.com/generativeai-downloads/images/socks.jpg';
const base64Image = await fetchImageAsBase64(imageUri);

const boundingBoxSchema = {
type: 'ARRAY',
description: 'List of bounding boxes for detected objects',
items: {
type: 'OBJECT',
title: 'BoundingBox',
description: 'Represents a bounding box with coordinates and label',
properties: {
box_2d: {
type: 'ARRAY',
description:
'Bounding box coordinates in format [y_min, x_min, y_max, x_max]',
items: {
type: 'INTEGER',
format: 'int32',
},
minItems: '4',
maxItems: '4',
},
label: {
type: 'STRING',
description: 'Label describing the object within the bounding box',
},
},
required: ['box_2d', 'label'],
},
};

const response = await client.models.generateContent({
model: 'gemini-2.5-flash',
contents: [
{
role: 'user',
parts: [
{
text: 'Output the positions of the socks with a face. Label according to position in the image.',
},
{
inlineData: {
data: base64Image,
mimeType: 'image/jpeg',
},
},
],
},
],
config: {
systemInstruction: systemInstruction,
safetySettings: safetySettings,
responseMimeType: 'application/json',
temperature: 0.5,
responseSchema: boundingBoxSchema,
},
});

const candidate = response.candidates[0].content.parts[0].text;
const boundingBoxes = JSON.parse(candidate);

console.log('Bounding boxes:', boundingBoxes);

await plotBoundingBoxes(imageUri, boundingBoxes);
return boundingBoxes;
}
// [END googlegenaisdk_boundingbox_with_txt_img]

module.exports = {
createBoundingBox,
};
56 changes: 56 additions & 0 deletions genai/embeddings/embeddings-docretrieval-with-txt.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,56 @@
// Copyright 2025 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';

// [START googlegenaisdk_embeddings_docretrieval_with_txt]
const {GoogleGenAI} = require('@google/genai');

const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;

async function generateEmbeddingsForRetrieval(
projectId = GOOGLE_CLOUD_PROJECT
) {
const client = new GoogleGenAI(projectId);

const prompt = [
"How do I get a driver's license/learner's permit?",
"How long is my driver's license valid for?",
"Driver's knowledge test study guide",
];

const response = await client.models.embedContent({
model: 'gemini-embedding-001',
contents: prompt,
config: {
taskType: 'RETRIEVAL_DOCUMENT', // Optional
outputDimensionality: 3072, // Optional
title: "Driver's License", // Optional
},
});

console.log(response);

// Example response:
// embeddings=[ContentEmbedding(values=[-0.06302902102470398, 0.00928034819662571, 0.014716853387653828, -0.028747491538524628, ... ],
// statistics=ContentEmbeddingStatistics(truncated=False, token_count=13.0))]
// metadata=EmbedContentMetadata(billable_character_count=112)

return response;
}
// [END googlegenaisdk_embeddings_docretrieval_with_txt]

module.exports = {
generateEmbeddingsForRetrieval,
};
43 changes: 43 additions & 0 deletions genai/express-mode/api-key-example.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,43 @@
// Copyright 2025 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';

// [START googlegenaisdk_vertexai_express_mode]
const {GoogleGenAI} = require('@google/genai');
const API_KEY = 'PUT HERE YOUR API KEY';

async function generateWithApiKey(apiKey = API_KEY) {
const client = new GoogleGenAI({
vertexai: true,
apiKey: apiKey,
});

const response = await client.models.generateContentStream({
model: 'gemini-2.5-flash',
contents: 'Explain bubble sort to me.',
});

console.log(response.text);

// Example response:
// Bubble Sort is a simple sorting algorithm that repeatedly steps through the list

return response;
}
// [END googlegenaisdk_vertexai_express_mode]

module.exports = {
generateWithApiKey,
};
14 changes: 5 additions & 9 deletions genai/package.json
Original file line number Diff line number Diff line change
Expand Up @@ -13,22 +13,18 @@
"test": "c8 mocha -p -j 2 --timeout 2400000 test/*.test.js test/**/*.test.js"
},
"dependencies": {
"@google/genai": "1.20.0",
"@google/genai": "^0.13.0",
"axios": "^1.6.2",
"google-auth-library": "^10.3.0",
"luxon": "^3.7.1",
"proxyquire": "^2.1.3",
"node-fetch": "^3.3.2",
"openai": "^5.19.1",
"supertest": "^7.0.0"
},
"devDependencies": {
"c8": "^10.0.0",
"chai": "^4.5.0",
"mocha": "^10.0.0",
"node-fetch": "^3.3.2",
"proxyquire": "^2.1.3",
"sinon": "^18.0.0",
"uuid": "^10.0.0"
"uuid": "^10.0.0",
"proxyquire": "^2.1.3",
"canvas": "^3.1.0",
"node-fetch": "^2.7.0"
}
}
62 changes: 62 additions & 0 deletions genai/provisioned-throughput/provisionedthroughput-with-txt.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,62 @@
// Copyright 2025 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';

// [START googlegenaisdk_provisionedthroughput_with_txt]
const {GoogleGenAI} = require('@google/genai');

const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global';

async function generateWithProvisionedThroughput(
projectId = GOOGLE_CLOUD_PROJECT,
location = GOOGLE_CLOUD_LOCATION
) {
const client = new GoogleGenAI({
vertexai: true,
project: projectId,
location: location,
httpOptions: {
apiVersion: 'v1',
headers: {
// Options:
// - "dedicated": Use Provisioned Throughput
// - "shared": Use pay-as-you-go
// https://cloud.google.com/vertex-ai/generative-ai/docs/use-provisioned-throughput
'X-Vertex-AI-LLM-Request-Type': 'shared',
},
},
});

const response = await client.models.generateContent({
model: 'gemini-2.5-flash',
contents: 'How does AI work?',
});

console.log(response.text);

// Example response:
// Okay, let's break down how AI works. It's a broad field, so I'll focus on the ...
// Here's a simplified overview:
// ...

return response.text;
}

// [END googlegenaisdk_provisionedthroughput_with_txt]

module.exports = {
generateWithProvisionedThroughput,
};
Loading