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| import { IEmbeddingFunction } from "./IEmbeddingFunction"; | |
| let CohereAiApi: any; | |
| export class HuggingFaceEmbeddingServerFunction implements IEmbeddingFunction { | |
| private url: string; | |
| constructor({ url }: { url: string }) { | |
| // we used to construct the client here, but we need to async import the types | |
| // for the openai npm package, and the constructor can not be async | |
| this.url = url; | |
| } | |
| public async generate(texts: string[]) { | |
| const response = await fetch(this.url, { | |
| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json' | |
| }, | |
| body: JSON.stringify({ 'inputs': texts }) | |
| }); | |
| if (!response.ok) { | |
| throw new Error(`Failed to generate embeddings: ${response.statusText}`); | |
| } | |
| const data = await response.json(); | |
| return data; | |
| } | |
| } | |