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File size: 2,009 Bytes
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<script lang="ts">
import ChatWindow from '$lib/components/chat/ChatWindow.svelte';
import { pendingMessage } from '$lib/stores/pendingMessage';
import { onMount } from 'svelte';
import type { PageData } from './$types';
import { page } from '$app/stores';
import { HfInference } from '@huggingface/inference';
export let data: PageData;
$: messages = data.messages;
const hf = new HfInference();
const model = hf.endpoint($page.url.href);
let loading = false;
async function getTextGenerationStream(inputs: string) {
const response = model.textGenerationStream(
{
inputs,
parameters: {
// Taken from https://huggingface.co/spaces/huggingface/open-assistant-private-testing/blob/main/app.py#L54
// @ts-ignore
stop: ['<|endoftext|>'],
max_new_tokens: 1024,
truncate: 1024,
typical_p: 0.2
}
},
{
use_cache: false
}
);
// Regex to check if the text finishes by "<" but is not a piece of code like "`<img>`"
const endOfTextRegex = /(?<!`)<(?!`)/;
for await (const data of response) {
if (!data) break;
if (!data.token.special) {
const lastMessage = messages.at(-1);
if (lastMessage?.from !== 'assistant') {
// First token has a space at the beginning, trim it
messages = [...messages, { from: 'assistant', content: data.token.text.trimStart() }];
} else {
lastMessage.content += data.token.text;
messages = [...messages];
}
}
}
}
async function writeMessage(message: string) {
if (!message.trim()) return;
try {
loading = true;
messages = [...messages, { from: 'user', content: message }];
await getTextGenerationStream(message);
} finally {
loading = false;
}
}
onMount(async () => {
if ($pendingMessage) {
const val = $pendingMessage;
$pendingMessage = '';
if (messages.length === 0) {
writeMessage(val);
}
}
});
</script>
<ChatWindow disabled={loading} {messages} on:message={(message) => writeMessage(message.detail)} />
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