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predict-text-extraction.js
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predict-text-extraction.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') {
// [START aiplatform_sdk_extraction]
/**
* 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 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 = 'text-bison@001';
// Instantiates a client
const predictionServiceClient = new PredictionServiceClient(clientOptions);
async function callPredict() {
// Configure the parent resource
const endpoint = `projects/${project}/locations/${location}/publishers/${publisher}/models/${model}`;
const instance = {
content: `Background: There is evidence that there have been significant changes \
in Amazon rainforest vegetation over the last 21,000 years through the Last \
Glacial Maximum (LGM) and subsequent deglaciation. Analyses of sediment \
deposits from Amazon basin paleo lakes and from the Amazon Fan indicate that \
rainfall in the basin during the LGM was lower than for the present, and this \
was almost certainly associated with reduced moist tropical vegetation cover \
in the basin. There is debate, however, over how extensive this reduction \
was. Some scientists argue that the rainforest was reduced to small, isolated \
refugia separated by open forest and grassland; other scientists argue that \
the rainforest remained largely intact but extended less far to the north, \
south, and east than is seen today. This debate has proved difficult to \
resolve because the practical limitations of working in the rainforest mean \
that data sampling is biased away from the center of the Amazon basin, and \
both explanations are reasonably well supported by the available data.
Q: What does LGM stands for?
A: Last Glacial Maximum.
Q: What did the analysis from the sediment deposits indicate?
A: Rainfall in the basin during the LGM was lower than for the present.
Q: What are some of scientists arguments?
A: The rainforest was reduced to small, isolated refugia separated by open forest and grassland.
Q: There have been major changes in Amazon rainforest vegetation over the last how many years?
A: 21,000.
Q: What caused changes in the Amazon rainforest vegetation?
A: The Last Glacial Maximum (LGM) and subsequent deglaciation
Q: What has been analyzed to compare Amazon rainfall in the past and present?
A: Sediment deposits.
Q: What has the lower rainfall in the Amazon during the LGM been attributed to?
A:
`,
};
const instanceValue = helpers.toValue(instance);
const instances = [instanceValue];
const parameter = {
temperature: 0.2,
maxOutputTokens: 256,
topP: 0,
topK: 1,
};
const parameters = helpers.toValue(parameter);
const request = {
endpoint,
instances,
parameters,
};
// Predict request
const [response] = await predictionServiceClient.predict(request);
console.log('Get text extraction response');
const predictions = response.predictions;
console.log('\tPredictions :');
for (const prediction of predictions) {
console.log(`\t\tPrediction : ${JSON.stringify(prediction)}`);
}
}
callPredict();
// [END aiplatform_sdk_extraction]
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
main(...process.argv.slice(2));