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Parent(s):
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⬆️ @huggingface/inference v2.1.1 (#83)
Browse files
package-lock.json
CHANGED
@@ -8,7 +8,7 @@
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"name": "chat-ui",
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"version": "0.0.1",
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"dependencies": {
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"@huggingface/inference": "^2.
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"autoprefixer": "^10.4.14",
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"date-fns": "^2.29.3",
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"dotenv": "^16.0.3",
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@@ -473,9 +473,9 @@
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}
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},
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"node_modules/@huggingface/inference": {
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"version": "2.
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"resolved": "https://registry.npmjs.org/@huggingface/inference/-/inference-2.
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"integrity": "sha512-
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"engines": {
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"node": ">=18"
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}
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"name": "chat-ui",
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"version": "0.0.1",
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"dependencies": {
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"@huggingface/inference": "^2.1.2",
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"autoprefixer": "^10.4.14",
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"date-fns": "^2.29.3",
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"dotenv": "^16.0.3",
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}
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},
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"node_modules/@huggingface/inference": {
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"version": "2.1.2",
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"resolved": "https://registry.npmjs.org/@huggingface/inference/-/inference-2.1.2.tgz",
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"integrity": "sha512-Qb+yVq13a1FVOLaQK0GOwDfp95VfIWP7uR83tAyluSkvpwAHaByVKw4zNGwMl3u3FxoDRn6snNGo54wTWApPzw==",
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"engines": {
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"node": ">=18"
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}
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package.json
CHANGED
@@ -33,7 +33,7 @@
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},
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"type": "module",
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"dependencies": {
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"@huggingface/inference": "^2.
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"autoprefixer": "^10.4.14",
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"date-fns": "^2.29.3",
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"dotenv": "^16.0.3",
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},
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"type": "module",
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"dependencies": {
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"@huggingface/inference": "^2.1.2",
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"autoprefixer": "^10.4.14",
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"date-fns": "^2.29.3",
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"dotenv": "^16.0.3",
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src/routes/conversation/[id]/+page.svelte
CHANGED
@@ -4,7 +4,7 @@
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import { onMount } from "svelte";
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import type { PageData } from "./$types";
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import { page } from "$app/stores";
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import {
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import { invalidate } from "$app/navigation";
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import { base } from "$app/paths";
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import { trimSuffix } from "$lib/utils/trimSuffix";
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@@ -24,16 +24,15 @@
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lastLoadedMessages = data.messages;
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}
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const hf = new HfInference();
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let loading = false;
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let pending = false;
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async function getTextGenerationStream(inputs: string) {
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let conversationId = $page.params.id;
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const response =
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{
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inputs,
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parameters: {
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// Taken from https://huggingface.co/spaces/huggingface/open-assistant-private-testing/blob/main/app.py#L54
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import { onMount } from "svelte";
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import type { PageData } from "./$types";
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import { page } from "$app/stores";
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import { textGenerationStream } from "@huggingface/inference";
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import { invalidate } from "$app/navigation";
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import { base } from "$app/paths";
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import { trimSuffix } from "$lib/utils/trimSuffix";
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lastLoadedMessages = data.messages;
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}
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let loading = false;
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let pending = false;
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async function getTextGenerationStream(inputs: string) {
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let conversationId = $page.params.id;
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const response = textGenerationStream(
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{
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model: $page.url.href,
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inputs,
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parameters: {
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// Taken from https://huggingface.co/spaces/huggingface/open-assistant-private-testing/blob/main/app.py#L54
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src/routes/conversation/[id]/summarize/+server.ts
CHANGED
@@ -2,6 +2,7 @@ import { HF_TOKEN } from "$env/static/private";
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import { PUBLIC_MODEL_ENDPOINT } from "$env/static/public";
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import { buildPrompt } from "$lib/buildPrompt";
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import { collections } from "$lib/server/database.js";
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import { error } from "@sveltejs/kit";
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import { ObjectId } from "mongodb";
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@@ -25,54 +26,52 @@ export async function POST({ params, locals, fetch }) {
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const prompt = buildPrompt([{ from: "user", content: userPrompt }]);
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const
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top_p: 0.95,
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repetition_penalty: 1.2,
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top_k: 50,
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watermark: false,
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max_new_tokens: 1024,
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stop: ["<|endoftext|>"],
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return_full_text: false,
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},
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}),
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});
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const
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}
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console.error("summarization failed");
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}
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if (
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await collections.conversations.updateOne(
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{
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_id: convId,
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sessionId: locals.sessionId,
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},
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{
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$set: { title:
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}
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);
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}
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return new Response(
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JSON.stringify(
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? {
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title:
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}
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: {}
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),
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import { PUBLIC_MODEL_ENDPOINT } from "$env/static/public";
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import { buildPrompt } from "$lib/buildPrompt";
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import { collections } from "$lib/server/database.js";
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import { textGeneration } from "@huggingface/inference";
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import { error } from "@sveltejs/kit";
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import { ObjectId } from "mongodb";
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const prompt = buildPrompt([{ from: "user", content: userPrompt }]);
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const parameters = {
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temperature: 0.9,
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top_p: 0.95,
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repetition_penalty: 1.2,
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top_k: 50,
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watermark: false,
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max_new_tokens: 1024,
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stop: ["<|endoftext|>"],
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return_full_text: false,
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};
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const { generated_text } = await textGeneration(
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{
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model: PUBLIC_MODEL_ENDPOINT,
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inputs: prompt,
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parameters,
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},
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{
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fetch: (url, options) =>
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fetch(url, {
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...options,
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headers: {
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...options?.headers,
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Authorization: `Basic ${HF_TOKEN}`,
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},
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}),
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}
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);
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if (generated_text) {
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await collections.conversations.updateOne(
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{
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_id: convId,
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sessionId: locals.sessionId,
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},
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{
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$set: { title: generated_text },
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}
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);
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}
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return new Response(
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JSON.stringify(
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generated_text
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? {
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title: generated_text,
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}
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: {}
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),
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