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streamContent.js
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60 lines (49 loc) · 1.84 KB
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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.
const {VertexAI} = require('@google-cloud/vertexai');
async function createStreamContent(
projectId = 'PROJECT_ID',
location = 'LOCATION_ID',
model = 'MODEL'
) {
// [START aiplatform_gemini_function_calling]
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
// const projectId = 'your-project-id';
// const location = 'us-central1';
// Initialize Vertex with your Cloud project and location
const vertexAI = new VertexAI({project: projectId, location: location});
// Instantiate the model
const generativeModel = vertexAI.preview.getGenerativeModel({
model: model,
});
const request = {
contents: [{role: 'user', parts: [{text: 'What is Node.js?'}]}],
};
console.log('Prompt:');
console.log(request.contents[0].parts[0].text);
console.log('Streaming Response Text:');
// Create the response stream
const responseStream = await generativeModel.generateContentStream(request);
// Log the text response as it streams
for await (const item of responseStream.stream) {
process.stdout.write(item.candidates[0].content.parts[0].text);
}
// [END aiplatform_gemini_function_calling]
}
createStreamContent(...process.argv.slice(2)).catch(err => {
console.error(err.message);
process.exitCode = 1;
});