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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,41 +1,5 @@ | ||
| import { HfInference } from '@huggingface/inference'; | ||
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|
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| export class HuggingFaceService { | ||
| private static async _infer(input: string, token: string) { | ||
| const client = new HfInference(token); | ||
|
|
||
| try { | ||
| const chatCompletion = await client.chatCompletion({ | ||
| model: 'meta-llama/Llama-2-7b-chat-hf', | ||
| messages: [ | ||
| { | ||
| role: 'system', | ||
| content: | ||
| 'You will be given text content from a social media' + | ||
| ' post, and your task is to explain it in English.', | ||
| }, | ||
| { | ||
| role: 'user', | ||
| content: input, | ||
| }, | ||
|
|
||
| { | ||
| role: 'user', | ||
| content: 'What is the capital of France?', | ||
| }, | ||
| ], | ||
| max_tokens: 500, | ||
| }); | ||
| console.log(chatCompletion.choices[0].message); | ||
| } catch (e) { | ||
| return null; | ||
| } | ||
| } | ||
| static async inferServerless(input: string): Promise<string | null> { | ||
| return this._infer(input, 'N/A'); | ||
| } | ||
|
|
||
| static async inferDedicated(input: string): Promise<string | null> { | ||
| return this._infer(input, 'N/A'); | ||
| export class OpenAiService { | ||
| static async explain(input: string) { | ||
| return null; | ||
| } | ||
| } |
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