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text_service.generate_text.js
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text_service.generate_text.js
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// 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
//
// 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.
//
// ** This file is automatically generated by gapic-generator-typescript. **
// ** https://github.com/googleapis/gapic-generator-typescript **
// ** All changes to this file may be overwritten. **
'use strict';
function main(model, prompt) {
// [START generativelanguage_v1beta2_generated_TextService_GenerateText_async]
/**
* This snippet has been automatically generated and should be regarded as a code template only.
* It will require modifications to work.
* It may require correct/in-range values for request initialization.
* TODO(developer): Uncomment these variables before running the sample.
*/
/**
* Required. The model name to use with the format name=models/{model}.
*/
// const model = 'abc123'
/**
* Required. The free-form input text given to the model as a prompt.
* Given a prompt, the model will generate a TextCompletion response it
* predicts as the completion of the input text.
*/
// const prompt = {}
/**
* Controls the randomness of the output.
* Note: The default value varies by model, see the `Model.temperature`
* attribute of the `Model` returned the `getModel` function.
* Values can range from 0.0,1.0,
* inclusive. A value closer to 1.0 will produce responses that are more
* varied and creative, while a value closer to 0.0 will typically result in
* more straightforward responses from the model.
*/
// const temperature = 1234
/**
* Number of generated responses to return.
* This value must be between 1, 8, inclusive. If unset, this will default
* to 1.
*/
// const candidateCount = 1234
/**
* The maximum number of tokens to include in a candidate.
* If unset, this will default to 64.
*/
// const maxOutputTokens = 1234
/**
* The maximum cumulative probability of tokens to consider when sampling.
* The model uses combined Top-k and nucleus sampling.
* Tokens are sorted based on their assigned probabilities so that only the
* most liekly tokens are considered. Top-k sampling directly limits the
* maximum number of tokens to consider, while Nucleus sampling limits number
* of tokens based on the cumulative probability.
* Note: The default value varies by model, see the `Model.top_p`
* attribute of the `Model` returned the `getModel` function.
*/
// const topP = 1234
/**
* The maximum number of tokens to consider when sampling.
* The model uses combined Top-k and nucleus sampling.
* Top-k sampling considers the set of `top_k` most probable tokens.
* Defaults to 40.
* Note: The default value varies by model, see the `Model.top_k`
* attribute of the `Model` returned the `getModel` function.
*/
// const topK = 1234
/**
* A list of unique `SafetySetting` instances for blocking unsafe content.
* that will be enforced on the `GenerateTextRequest.prompt` and
* `GenerateTextResponse.candidates`. There should not be more than one
* setting for each `SafetyCategory` type. The API will block any prompts and
* responses that fail to meet the thresholds set by these settings. This list
* overrides the default settings for each `SafetyCategory` specified in the
* safety_settings. If there is no `SafetySetting` for a given
* `SafetyCategory` provided in the list, the API will use the default safety
* setting for that category.
*/
// const safetySettings = [1,2,3,4]
/**
* The set of character sequences (up to 5) that will stop output generation.
* If specified, the API will stop at the first appearance of a stop
* sequence. The stop sequence will not be included as part of the response.
*/
// const stopSequences = ['abc','def']
// Imports the Generativelanguage library
const {TextServiceClient} = require('@google-ai/generativelanguage').v1beta2;
// Instantiates a client
const generativelanguageClient = new TextServiceClient();
async function callGenerateText() {
// Construct request
const request = {
model,
prompt,
};
// Run request
const response = await generativelanguageClient.generateText(request);
console.log(response);
}
callGenerateText();
// [END generativelanguage_v1beta2_generated_TextService_GenerateText_async]
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
main(...process.argv.slice(2));