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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. | ||
*/ | ||
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'use strict'; | ||
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async function main(project, location = 'us-central1') { | ||
// [START aiplatform_sdk_sentiment_analysis] | ||
/** | ||
* 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'; | ||
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const aiplatform = require('@google-cloud/aiplatform'); | ||
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// Imports the Google Cloud Prediction service client | ||
const {PredictionServiceClient} = aiplatform.v1; | ||
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// Import the helper module for converting arbitrary protobuf.Value objects. | ||
const {helpers} = aiplatform; | ||
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// Specifies the location of the api endpoint | ||
const clientOptions = { | ||
apiEndpoint: 'us-central1-aiplatform.googleapis.com', | ||
}; | ||
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const publisher = 'google'; | ||
const model = 'text-bison@001'; | ||
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// Instantiates a client | ||
const predictionServiceClient = new PredictionServiceClient(clientOptions); | ||
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async function callPredict() { | ||
// Configure the parent resource | ||
const endpoint = `projects/${project}/locations/${location}/publishers/${publisher}/models/${model}`; | ||
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const instance = { | ||
content: `I had to compare two versions of Hamlet for my Shakespeare class and \ | ||
unfortunately I picked this version. Everything from the acting (the actors \ | ||
deliver most of their lines directly to the camera) to the camera shots (all \ | ||
medium or close up shots...no scenery shots and very little back ground in the \ | ||
shots) were absolutely terrible. I watched this over my spring break and it is \ | ||
very safe to say that I feel that I was gypped out of 114 minutes of my \ | ||
vacation. Not recommended by any stretch of the imagination. | ||
Classify the sentiment of the message: negative | ||
Something surprised me about this movie - it was actually original. It was not \ | ||
the same old recycled crap that comes out of Hollywood every month. I saw this \ | ||
movie on video because I did not even know about it before I saw it at my \ | ||
local video store. If you see this movie available - rent it - you will not \ | ||
regret it. | ||
Classify the sentiment of the message: positive | ||
My family has watched Arthur Bach stumble and stammer since the movie first \ | ||
came out. We have most lines memorized. I watched it two weeks ago and still \ | ||
get tickled at the simple humor and view-at-life. \ | ||
This movie makes me just enjoy watching movies. My favorite scene \ | ||
is when Arthur is visiting his fiancée's house. His conversation with the \ | ||
butler and Susan's father is side-spitting. The line from the butler, \ | ||
"Would you care to wait in the Library" followed by Arthur's reply, \ | ||
"Yes I would, the bathroom is out of the question", is my NEWMAIL \ | ||
notification on my computer. | ||
Classify the sentiment of the message: positive | ||
Tweet: The Pixel 7 Pro, is too big to fit in my jeans pocket, so I bought \ | ||
new jeans. | ||
Classify the sentiment of the message: | ||
`, | ||
}; | ||
const instanceValue = helpers.toValue(instance); | ||
const instances = [instanceValue]; | ||
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const parameter = { | ||
temperature: 0.2, | ||
maxOutputTokens: 5, | ||
topP: 0, | ||
topK: 1, | ||
}; | ||
const parameters = helpers.toValue(parameter); | ||
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const request = { | ||
endpoint, | ||
instances, | ||
parameters, | ||
}; | ||
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// Predict request | ||
const [response] = await predictionServiceClient.predict(request); | ||
console.log('Get text sentiment response'); | ||
const predictions = response.predictions; | ||
console.log('\tPredictions :'); | ||
for (const prediction of predictions) { | ||
console.log(`\t\tPrediction : ${JSON.stringify(prediction)}`); | ||
} | ||
} | ||
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callPredict(); | ||
// [END aiplatform_sdk_sentiment_analysis] | ||
} | ||
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process.on('unhandledRejection', err => { | ||
console.error(err.message); | ||
process.exitCode = 1; | ||
}); | ||
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main(...process.argv.slice(2)); |
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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. | ||
*/ | ||
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'use strict'; | ||
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const path = require('path'); | ||
const {assert} = require('chai'); | ||
const {describe, it} = require('mocha'); | ||
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const cp = require('child_process'); | ||
const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'}); | ||
const cwd = path.join(__dirname, '..'); | ||
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const project = process.env.CAIP_PROJECT_ID; | ||
const location = 'us-central1'; | ||
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describe('AI platform predict text sentiment', () => { | ||
it('should make predictions using a large language model', async () => { | ||
const stdout = execSync( | ||
`node ./predict-text-sentiment.js ${project} ${location}`, | ||
{ | ||
cwd, | ||
} | ||
); | ||
assert.match(stdout, /Get text sentiment response/); | ||
}); | ||
}); |