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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,141 +1,141 @@ | ||
| // Copyright 2018 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. | ||
|
|
||
| /** | ||
| * This application demonstrates how to perform basic operations on prediction | ||
| * with the Google AutoML Translation API. | ||
| * | ||
| * For more information, see the documentation at | ||
| * https://cloud.google.com/translate/automl/docs | ||
| */ | ||
|
|
||
| `use strict`; | ||
|
|
||
| async function predict( | ||
| projectId, | ||
| computeRegion, | ||
| modelId, | ||
| filePath, | ||
| translationAllowFallback | ||
| ) { | ||
| // [START automl_translation_predict] | ||
| const automl = require('@google-cloud/automl'); | ||
| const fs = require('fs'); | ||
|
|
||
| // Create client for prediction service. | ||
| const client = new automl.PredictionServiceClient(); | ||
|
|
||
| /** | ||
| * TODO(developer): Uncomment the following line before running the sample. | ||
| */ | ||
| // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`; | ||
| // const computeRegion = `region-name, e.g. "us-central1"`; | ||
| // const modelId = `id of the model, e.g. “ICN12345”`; | ||
| // const filePath = `local text file path of content to be classified, e.g. "./resources/test.txt"`; | ||
| // const translationAllowFallback = `use Google translation model as fallback, e.g. "False" or "True"`; | ||
|
|
||
| // Get the full path of the model. | ||
| const modelFullId = client.modelPath(projectId, computeRegion, modelId); | ||
|
|
||
| // Read the file content for translation. | ||
| const content = fs.readFileSync(filePath, 'utf8'); | ||
|
|
||
| // Set the payload by giving the content of the file. | ||
| const payload = { | ||
| textSnippet: { | ||
| content: content, | ||
| }, | ||
| }; | ||
|
|
||
| // Params is additional domain-specific parameters. | ||
| // TranslationAllowFallback allows to use Google translation model. | ||
| let params = {}; | ||
| if (translationAllowFallback) { | ||
| params = { | ||
| translationAllowFallback: true, | ||
| }; | ||
| } | ||
|
|
||
| const responses = await client.predict({ | ||
| name: modelFullId, | ||
| payload: payload, | ||
| params: params, | ||
| }); | ||
|
|
||
| const response = responses[0]; | ||
| console.log( | ||
| 'Translated Content: ', | ||
| response.payload[0].translation.translatedContent.content | ||
| ); | ||
|
|
||
| // [END automl_translation_predict] | ||
| } | ||
|
|
||
| require('yargs') | ||
| .demand(1) | ||
| .options({ | ||
| computeRegion: { | ||
| alias: 'c', | ||
| type: 'string', | ||
| default: 'us-central1', | ||
| requiresArg: true, | ||
| description: 'region name e.g. "us-central1"', | ||
| }, | ||
| filePath: { | ||
| alias: 'f', | ||
| default: './resources/testInput.txt', | ||
| type: 'string', | ||
| requiresArg: true, | ||
| description: 'local text file path of the content to be classified', | ||
| }, | ||
| modelId: { | ||
| alias: 'i', | ||
| type: 'string', | ||
| requiresArg: true, | ||
| description: 'Id of the model which will be used for text classification', | ||
| }, | ||
| projectId: { | ||
| alias: 'z', | ||
| type: 'number', | ||
| default: process.env.GCLOUD_PROJECT, | ||
| requiresArg: true, | ||
| description: 'The GCLOUD_PROJECT string, e.g. "my-gcloud-project"', | ||
| }, | ||
| translationAllowFallback: { | ||
| alias: 't', | ||
| type: 'string', | ||
| default: 'False', | ||
| requiresArg: true, | ||
| description: | ||
| 'Use true if AutoML will fallback to use a Google translation model for' + | ||
| 'translation requests if the specified AutoML translation model cannot' + | ||
| 'serve the request. Use false to not use Google translation model.', | ||
| }, | ||
| }) | ||
| .command('predict', 'classify the content', {}, opts => | ||
| predict( | ||
| opts.projectId, | ||
| opts.computeRegion, | ||
| opts.modelId, | ||
| opts.filePath, | ||
| opts.translationAllowFallback | ||
| ) | ||
| ) | ||
| .example( | ||
| 'node $0 predict -i "modelId" -f "./resources/testInput.txt" -t "False"' | ||
| ) | ||
| .wrap(120) | ||
| .recommendCommands() | ||
| .help() | ||
| .strict().argv; | ||
| // Copyright 2018 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. | ||
|
|
||
| /** | ||
| * This application demonstrates how to perform basic operations on prediction | ||
| * with the Google AutoML Translation API. | ||
| * | ||
| * For more information, see the documentation at | ||
| * https://cloud.google.com/translate/automl/docs | ||
| */ | ||
|
|
||
| `use strict`; | ||
|
|
||
| async function predict( | ||
| projectId, | ||
| computeRegion, | ||
| modelId, | ||
| filePath, | ||
| translationAllowFallback | ||
| ) { | ||
| // [START automl_translation_predict] | ||
| const automl = require('@google-cloud/automl'); | ||
| const fs = require('fs'); | ||
|
|
||
| // Create client for prediction service. | ||
| const client = new automl.PredictionServiceClient(); | ||
|
|
||
| /** | ||
| * TODO(developer): Uncomment the following line before running the sample. | ||
| */ | ||
| // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`; | ||
| // const computeRegion = `region-name, e.g. "us-central1"`; | ||
| // const modelId = `id of the model, e.g. “ICN12345”`; | ||
| // const filePath = `local text file path of content to be classified, e.g. "./resources/test.txt"`; | ||
| // const translationAllowFallback = `use Google translation model as fallback, e.g. "False" or "True"`; | ||
|
|
||
| // Get the full path of the model. | ||
| const modelFullId = client.modelPath(projectId, computeRegion, modelId); | ||
|
|
||
| // Read the file content for translation. | ||
| const content = fs.readFileSync(filePath, 'utf8'); | ||
|
|
||
| // Set the payload by giving the content of the file. | ||
| const payload = { | ||
| textSnippet: { | ||
| content: content, | ||
| }, | ||
| }; | ||
|
|
||
| // Params is additional domain-specific parameters. | ||
| // TranslationAllowFallback allows to use Google translation model. | ||
| let params = {}; | ||
| if (translationAllowFallback) { | ||
| params = { | ||
| translationAllowFallback: true, | ||
| }; | ||
| } | ||
|
|
||
| const responses = await client.predict({ | ||
| name: modelFullId, | ||
| payload: payload, | ||
| params: params, | ||
| }); | ||
|
|
||
| const response = responses[0]; | ||
| console.log( | ||
| 'Translated Content: ', | ||
| response.payload[0].translation.translatedContent.content | ||
| ); | ||
|
|
||
| // [END automl_translation_predict] | ||
| } | ||
|
|
||
| require('yargs') | ||
| .demand(1) | ||
| .options({ | ||
| computeRegion: { | ||
| alias: 'c', | ||
| type: 'string', | ||
| default: 'us-central1', | ||
| requiresArg: true, | ||
| description: 'region name e.g. "us-central1"', | ||
| }, | ||
| filePath: { | ||
| alias: 'f', | ||
| default: './resources/testInput.txt', | ||
| type: 'string', | ||
| requiresArg: true, | ||
| description: 'local text file path of the content to be classified', | ||
| }, | ||
| modelId: { | ||
| alias: 'i', | ||
| type: 'string', | ||
| requiresArg: true, | ||
| description: 'Id of the model which will be used for text classification', | ||
| }, | ||
| projectId: { | ||
| alias: 'z', | ||
| type: 'number', | ||
| default: process.env.GCLOUD_PROJECT, | ||
| requiresArg: true, | ||
| description: 'The GCLOUD_PROJECT string, e.g. "my-gcloud-project"', | ||
| }, | ||
| translationAllowFallback: { | ||
| alias: 't', | ||
| type: 'string', | ||
| default: 'False', | ||
| requiresArg: true, | ||
| description: | ||
| 'Use true if AutoML will fallback to use a Google translation model for' + | ||
| 'translation requests if the specified AutoML translation model cannot' + | ||
| 'serve the request. Use false to not use Google translation model.', | ||
| }, | ||
| }) | ||
| .command('predict', 'classify the content', {}, opts => | ||
| predict( | ||
| opts.projectId, | ||
| opts.computeRegion, | ||
| opts.modelId, | ||
| opts.filePath, | ||
| opts.translationAllowFallback | ||
| ) | ||
| ) | ||
| .example( | ||
| 'node $0 predict -i "modelId" -f "./resources/testInput.txt" -t "False"' | ||
| ) | ||
| .wrap(120) | ||
| .recommendCommands() | ||
| .help() | ||
| .strict().argv; |
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