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25 lines
1010 B
TypeScript
25 lines
1010 B
TypeScript
import { IMachineLearningRepository, MachineLearningInput, MACHINE_LEARNING_URL } from '@app/domain';
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import { Injectable } from '@nestjs/common';
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import axios from 'axios';
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const client = axios.create({ baseURL: MACHINE_LEARNING_URL });
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@Injectable()
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export class MachineLearningRepository implements IMachineLearningRepository {
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classifyImage(input: MachineLearningInput): Promise<string[]> {
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return client.post<string[]>('/image-classifier/tag-image', input).then((res) => res.data);
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}
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detectObjects(input: MachineLearningInput): Promise<string[]> {
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return client.post<string[]>('/object-detection/detect-object', input).then((res) => res.data);
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}
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encodeImage(input: MachineLearningInput): Promise<number[]> {
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return client.post<number[]>('/sentence-transformer/encode-image', input).then((res) => res.data);
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}
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encodeText(input: string): Promise<number[]> {
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return client.post<number[]>('/sentence-transformer/encode-text', { text: input }).then((res) => res.data);
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}
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}
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