File size: 1,461 Bytes
8c7e6f1 f977d49 8c7e6f1 f977d49 8c7e6f1 f977d49 8c7e6f1 f977d49 8c7e6f1 f977d49 8c7e6f1 f977d49 8c7e6f1 f977d49 8c7e6f1 f977d49 8c7e6f1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
import { HfInference } from '@huggingface/inference';
export interface Message {
role: string;
content: string;
}
export function createHfInference(token: string): HfInference {
return new HfInference(token);
}
export function prepareRequestMessages(systemMessage: Message, messages: Message[]): Message[] {
return [...(systemMessage.content.length ? [systemMessage] : []), ...messages];
}
export async function handleStreamingResponse(
hf: HfInference,
model: string,
messages: Message[],
temperature: number,
maxTokens: number,
jsonMode: boolean,
onChunk: (content: string) => void
): Promise<void> {
let out = '';
for await (const chunk of hf.chatCompletionStream({
model: model,
messages: messages,
temperature: temperature,
max_tokens: maxTokens,
json_mode: jsonMode
})) {
if (chunk.choices && chunk.choices.length > 0 && chunk.choices[0]?.delta?.content) {
out += chunk.choices[0].delta.content;
onChunk(out);
}
}
}
export async function handleNonStreamingResponse(
hf: HfInference,
model: string,
messages: Message[],
temperature: number,
maxTokens: number,
jsonMode: boolean
): Promise<Message> {
const response = await hf.chatCompletion({
model: model,
messages: messages,
temperature: temperature,
max_tokens: maxTokens,
json_mode: jsonMode
});
if (response.choices && response.choices.length > 0) {
return response.choices[0].message;
}
throw new Error('No response from the model');
}
|