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text_generation.js
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text_generation.js
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/**
* @license
* Copyright 2024 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
*
* http://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.
*/
import { GoogleGenerativeAI } from "@google/generative-ai";
import { GoogleAIFileManager, FileState } from "@google/generative-ai/server";
import fs from "fs";
import { dirname } from "path";
import { fileURLToPath } from "url";
const __dirname = dirname(fileURLToPath(import.meta.url));
const mediaPath = __dirname + "/media";
async function textGenTextOnlyPrompt() {
// [START text_gen_text_only_prompt]
// Make sure to include these imports:
// import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
const prompt = "Write a story about a magic backpack.";
const result = await model.generateContent(prompt);
console.log(result.response.text());
// [END text_gen_text_only_prompt]
}
async function textGenTextOnlyPromptStreaming() {
// [START text_gen_text_only_prompt_streaming]
// Make sure to include these imports:
// import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
const prompt = "Write a story about a magic backpack.";
const result = await model.generateContentStream(prompt);
// Print text as it comes in.
for await (const chunk of result.stream) {
const chunkText = chunk.text();
process.stdout.write(chunkText);
}
// [END text_gen_text_only_prompt_streaming]
}
async function textGenMultimodalOneImagePrompt() {
// [START text_gen_multimodal_one_image_prompt]
// Make sure to include these imports:
// import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
function fileToGenerativePart(path, mimeType) {
return {
inlineData: {
data: Buffer.from(fs.readFileSync(path)).toString("base64"),
mimeType,
},
};
}
const prompt = "Describe how this product might be manufactured.";
// Note: The only accepted mime types are some image types, image/*.
const imagePart = fileToGenerativePart(
`${mediaPath}/jetpack.jpg`,
"image/jpeg",
);
const result = await model.generateContent([prompt, imagePart]);
console.log(result.response.text());
// [END text_gen_multimodal_one_image_prompt]
}
async function textGenMultimodalOneImagePromptStreaming() {
// [START text_gen_multimodal_one_image_prompt_streaming]
// Make sure to include these imports:
// import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
function fileToGenerativePart(path, mimeType) {
return {
inlineData: {
data: Buffer.from(fs.readFileSync(path)).toString("base64"),
mimeType,
},
};
}
const prompt = "Describe how this product might be manufactured.";
// Note: The only accepted mime types are some image types, image/*.
const imagePart = fileToGenerativePart(
`${mediaPath}/jetpack.jpg`,
"image/jpeg",
);
const result = await model.generateContentStream([prompt, imagePart]);
// Print text as it comes in.
for await (const chunk of result.stream) {
const chunkText = chunk.text();
process.stdout.write(chunkText);
}
// [END text_gen_multimodal_one_image_prompt_streaming]
}
async function textGenMultimodalMultiImagePrompt() {
// [START text_gen_multimodal_multi_image_prompt]
// Make sure to include these imports:
// import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
function fileToGenerativePart(path, mimeType) {
return {
inlineData: {
data: Buffer.from(fs.readFileSync(path)).toString("base64"),
mimeType,
},
};
}
const prompt =
"Write an advertising jingle showing how the product in the" +
" first image could solve the problems shown in the second two images.";
// Note: The only accepted mime types are some image types, image/*.
const imageParts = [
fileToGenerativePart(`${mediaPath}/jetpack.jpg`, "image/jpeg"),
fileToGenerativePart(`${mediaPath}/piranha.jpg`, "image/jpeg"),
fileToGenerativePart(`${mediaPath}/firefighter.jpg`, "image/jpeg"),
];
const result = await model.generateContent([prompt, ...imageParts]);
console.log(result.response.text());
// [END text_gen_multimodal_multi_image_prompt]
}
async function textGenMultimodalMultiImagePromptStreaming() {
// [START text_gen_multimodal_multi_image_prompt_streaming]
// Make sure to include these imports:
// import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
function fileToGenerativePart(path, mimeType) {
return {
inlineData: {
data: Buffer.from(fs.readFileSync(path)).toString("base64"),
mimeType,
},
};
}
const prompt =
"Write an advertising jingle showing how the product in the" +
" first image could solve the problems shown in the second two images.";
// Note: The only accepted mime types are some image types, image/*.
const imageParts = [
fileToGenerativePart(`${mediaPath}/jetpack.jpg`, "image/jpeg"),
fileToGenerativePart(`${mediaPath}/piranha.jpg`, "image/jpeg"),
fileToGenerativePart(`${mediaPath}/firefighter.jpg`, "image/jpeg"),
];
const result = await model.generateContentStream([prompt, ...imageParts]);
// Print text as it comes in.
for await (const chunk of result.stream) {
const chunkText = chunk.text();
process.stdout.write(chunkText);
}
// [END text_gen_multimodal_multi_image_prompt_streaming]
}
async function textGenMultimodalAudio() {
// [START text_gen_multimodal_audio]
// Make sure to include these imports:
// import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
function fileToGenerativePart(path, mimeType) {
return {
inlineData: {
data: Buffer.from(fs.readFileSync(path)).toString("base64"),
mimeType,
},
};
}
const prompt = "Give me a summary of this audio file.";
// Note: The only accepted mime types are some image types, image/*.
const audioPart = fileToGenerativePart(
`${mediaPath}/samplesmall.mp3`,
"audio/mp3",
);
const result = await model.generateContent([prompt, audioPart]);
console.log(result.response.text());
// [END text_gen_multimodal_audio]
}
async function textGenMultimodalVideoPrompt() {
// [START text_gen_multimodal_video_prompt]
// Make sure to include these imports:
// import { GoogleGenerativeAI } from "@google/generative-ai";
// import { GoogleAIFileManager, FileState } from "@google/generative-ai/server";
const genAI = new GoogleGenerativeAI(process.env.API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
const fileManager = new GoogleAIFileManager(process.env.API_KEY);
const uploadResult = await fileManager.uploadFile(
`${mediaPath}/Big_Buck_Bunny.mp4`,
{ mimeType: "video/mp4" },
);
let file = await fileManager.getFile(uploadResult.file.name);
while (file.state === FileState.PROCESSING) {
process.stdout.write(".");
// Sleep for 10 seconds
await new Promise((resolve) => setTimeout(resolve, 10_000));
// Fetch the file from the API again
file = await fileManager.getFile(uploadResult.file.name);
}
if (file.state === FileState.FAILED) {
throw new Error("Video processing failed.");
}
const prompt = "Describe this video clip";
const videoPart = {
fileData: {
fileUri: uploadResult.file.uri,
mimeType: uploadResult.file.mimeType,
},
};
const result = await model.generateContent([prompt, videoPart]);
console.log(result.response.text());
// [END text_gen_multimodal_video_prompt]
await fileManager.deleteFile(uploadResult.file.name);
}
async function textGenMultimodalVideoPromptStreaming() {
// [START text_gen_multimodal_video_prompt_streaming]
// Make sure to include these imports:
// import { GoogleGenerativeAI } from "@google/generative-ai";
// import { GoogleAIFileManager, FileState } from "@google/generative-ai/server";
const genAI = new GoogleGenerativeAI(process.env.API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
const fileManager = new GoogleAIFileManager(process.env.API_KEY);
const uploadResult = await fileManager.uploadFile(
`${mediaPath}/Big_Buck_Bunny.mp4`,
{ mimeType: "video/mp4" },
);
let file = await fileManager.getFile(uploadResult.file.name);
while (file.state === FileState.PROCESSING) {
process.stdout.write(".");
// Sleep for 10 seconds
await new Promise((resolve) => setTimeout(resolve, 10_000));
// Fetch the file from the API again
file = await fileManager.getFile(uploadResult.file.name);
}
if (file.state === FileState.FAILED) {
throw new Error("Video processing failed.");
}
const prompt = "Describe this video clip";
const videoPart = {
fileData: {
fileUri: uploadResult.file.uri,
mimeType: uploadResult.file.mimeType,
},
};
const result = await model.generateContentStream([prompt, videoPart]);
// Print text as it comes in.
for await (const chunk of result.stream) {
const chunkText = chunk.text();
process.stdout.write(chunkText);
}
// [END text_gen_multimodal_video_prompt_streaming]
await fileManager.deleteFile(uploadResult.file.name);
}
async function runAll() {
// Comment out or delete any sample cases you don't want to run.
await textGenTextOnlyPrompt();
await textGenTextOnlyPromptStreaming();
await textGenMultimodalOneImagePrompt();
await textGenMultimodalOneImagePromptStreaming();
await textGenMultimodalMultiImagePrompt();
await textGenMultimodalMultiImagePromptStreaming();
await textGenMultimodalAudio();
await textGenMultimodalVideoPrompt();
await textGenMultimodalVideoPromptStreaming();
}
runAll();