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<script lang="ts"> |
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import fileSaver from 'file-saver'; |
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const { saveAs } = fileSaver; |
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import { onMount, getContext } from 'svelte'; |
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import dayjs from 'dayjs'; |
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import relativeTime from 'dayjs/plugin/relativeTime'; |
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dayjs.extend(relativeTime); |
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import * as ort from 'onnxruntime-web'; |
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import { AutoModel, AutoTokenizer } from '@huggingface/transformers'; |
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const EMBEDDING_MODEL = 'TaylorAI/bge-micro-v2'; |
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let tokenizer = null; |
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let model = null; |
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import { models } from '$lib/stores'; |
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import { deleteFeedbackById, exportAllFeedbacks, getAllFeedbacks } from '$lib/apis/evaluations'; |
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import FeedbackMenu from './Evaluations/FeedbackMenu.svelte'; |
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import EllipsisHorizontal from '../icons/EllipsisHorizontal.svelte'; |
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import Tooltip from '../common/Tooltip.svelte'; |
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import Badge from '../common/Badge.svelte'; |
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import Pagination from '../common/Pagination.svelte'; |
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import MagnifyingGlass from '../icons/MagnifyingGlass.svelte'; |
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import Share from '../icons/Share.svelte'; |
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import CloudArrowUp from '../icons/CloudArrowUp.svelte'; |
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import { toast } from 'svelte-sonner'; |
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import Spinner from '../common/Spinner.svelte'; |
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import DocumentArrowUpSolid from '../icons/DocumentArrowUpSolid.svelte'; |
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import DocumentArrowDown from '../icons/DocumentArrowDown.svelte'; |
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import ArrowDownTray from '../icons/ArrowDownTray.svelte'; |
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const i18n = getContext('i18n'); |
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let rankedModels = []; |
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let feedbacks = []; |
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let query = ''; |
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let page = 1; |
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let tagEmbeddings = new Map(); |
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let loaded = false; |
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let loadingLeaderboard = true; |
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let debounceTimer; |
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$: paginatedFeedbacks = feedbacks.slice((page - 1) * 10, page * 10); |
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type Feedback = { |
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id: string; |
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data: { |
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rating: number; |
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model_id: string; |
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sibling_model_ids: string[] | null; |
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reason: string; |
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comment: string; |
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tags: string[]; |
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}; |
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user: { |
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name: string; |
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profile_image_url: string; |
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}; |
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updated_at: number; |
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}; |
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type ModelStats = { |
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rating: number; |
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won: number; |
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lost: number; |
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}; |
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const rankHandler = async (similarities: Map<string, number> = new Map()) => { |
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const modelStats = calculateModelStats(feedbacks, similarities); |
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rankedModels = $models |
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.filter((m) => m?.owned_by !== 'arena' && (m?.info?.meta?.hidden ?? false) !== true) |
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.map((model) => { |
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const stats = modelStats.get(model.id); |
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return { |
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...model, |
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rating: stats ? Math.round(stats.rating) : '-', |
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stats: { |
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count: stats ? stats.won + stats.lost : 0, |
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won: stats ? stats.won.toString() : '-', |
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lost: stats ? stats.lost.toString() : '-' |
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} |
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}; |
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}) |
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.sort((a, b) => { |
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if (a.rating === '-' && b.rating !== '-') return 1; |
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if (b.rating === '-' && a.rating !== '-') return -1; |
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if (a.rating !== '-' && b.rating !== '-') return b.rating - a.rating; |
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return a.name.localeCompare(b.name); |
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}); |
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loadingLeaderboard = false; |
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}; |
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function calculateModelStats( |
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feedbacks: Feedback[], |
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similarities: Map<string, number> |
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): Map<string, ModelStats> { |
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const stats = new Map<string, ModelStats>(); |
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const K = 32; |
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function getOrDefaultStats(modelId: string): ModelStats { |
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return stats.get(modelId) || { rating: 1000, won: 0, lost: 0 }; |
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} |
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function updateStats(modelId: string, ratingChange: number, outcome: number) { |
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const currentStats = getOrDefaultStats(modelId); |
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currentStats.rating += ratingChange; |
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if (outcome === 1) currentStats.won++; |
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else if (outcome === 0) currentStats.lost++; |
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stats.set(modelId, currentStats); |
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} |
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function calculateEloChange( |
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ratingA: number, |
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ratingB: number, |
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outcome: number, |
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similarity: number |
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): number { |
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const expectedScore = 1 / (1 + Math.pow(10, (ratingB - ratingA) / 400)); |
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return K * (outcome - expectedScore) * similarity; |
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} |
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feedbacks.forEach((feedback) => { |
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const modelA = feedback.data.model_id; |
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const statsA = getOrDefaultStats(modelA); |
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let outcome: number; |
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switch (feedback.data.rating.toString()) { |
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case '1': |
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outcome = 1; |
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break; |
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case '-1': |
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outcome = 0; |
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break; |
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default: |
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return; // Skip invalid ratings |
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} |
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const similarity = query !== '' ? similarities.get(feedback.id) || 0 : 1; |
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const opponents = feedback.data.sibling_model_ids || []; |
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opponents.forEach((modelB) => { |
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const statsB = getOrDefaultStats(modelB); |
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const changeA = calculateEloChange(statsA.rating, statsB.rating, outcome, similarity); |
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const changeB = calculateEloChange(statsB.rating, statsA.rating, 1 - outcome, similarity); |
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updateStats(modelA, changeA, outcome); |
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updateStats(modelB, changeB, 1 - outcome); |
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}); |
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}); |
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return stats; |
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} |
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const cosineSimilarity = (vecA, vecB) => { |
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// Ensure the lengths of the vectors are the same |
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if (vecA.length !== vecB.length) { |
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throw new Error('Vectors must be the same length'); |
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} |
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let dotProduct = 0; |
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let normA = 0; |
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let normB = 0; |
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for (let i = 0; i < vecA.length; i++) { |
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dotProduct += vecA[i] * vecB[i]; |
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normA += vecA[i] ** 2; |
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normB += vecB[i] ** 2; |
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} |
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normA = Math.sqrt(normA); |
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normB = Math.sqrt(normB); |
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if (normA === 0 || normB === 0) { |
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return 0; |
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} |
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return dotProduct / (normA * normB); |
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}; |
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const calculateMaxSimilarity = (queryEmbedding, tagEmbeddings: Map<string, number[]>) => { |
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let maxSimilarity = 0; |
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for (const tagEmbedding of tagEmbeddings.values()) { |
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const similarity = cosineSimilarity(queryEmbedding, tagEmbedding); |
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maxSimilarity = Math.max(maxSimilarity, similarity); |
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} |
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return maxSimilarity; |
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}; |
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const getEmbeddings = async (text: string) => { |
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const tokens = await tokenizer(text); |
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const output = await model(tokens); |
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// Perform mean pooling on the last hidden states |
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const embeddings = output.last_hidden_state.mean(1); |
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return embeddings.ort_tensor.data; |
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}; |
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const getTagEmbeddings = async (tags: string[]) => { |
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const embeddings = new Map(); |
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for (const tag of tags) { |
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if (!tagEmbeddings.has(tag)) { |
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tagEmbeddings.set(tag, await getEmbeddings(tag)); |
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} |
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embeddings.set(tag, tagEmbeddings.get(tag)); |
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} |
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return embeddings; |
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}; |
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const debouncedQueryHandler = async () => { |
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loadingLeaderboard = true; |
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if (query.trim() === '') { |
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rankHandler(); |
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return; |
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} |
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clearTimeout(debounceTimer); |
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debounceTimer = setTimeout(async () => { |
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const queryEmbedding = await getEmbeddings(query); |
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const similarities = new Map<string, number>(); |
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for (const feedback of feedbacks) { |
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const feedbackTags = feedback.data.tags || []; |
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const tagEmbeddings = await getTagEmbeddings(feedbackTags); |
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const maxSimilarity = calculateMaxSimilarity(queryEmbedding, tagEmbeddings); |
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similarities.set(feedback.id, maxSimilarity); |
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} |
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rankHandler(similarities); |
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}, 1500); |
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}; |
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$: query, debouncedQueryHandler(); |
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const deleteFeedbackHandler = async (feedbackId: string) => { |
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const response = await deleteFeedbackById(localStorage.token, feedbackId).catch((err) => { |
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toast.error(err); |
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return null; |
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}); |
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if (response) { |
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feedbacks = feedbacks.filter((f) => f.id !== feedbackId); |
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} |
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}; |
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const shareHandler = async () => { |
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toast.success($i18n.t('Redirecting you to OpenWebUI Community')); |
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// remove snapshot from feedbacks |
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const feedbacksToShare = feedbacks.map((f) => { |
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const { snapshot, user, ...rest } = f; |
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return rest; |
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}); |
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console.log(feedbacksToShare); |
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const url = 'https://openwebui.com'; |
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const tab = await window.open(`${url}/leaderboard`, '_blank'); |
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// Define the event handler function |
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const messageHandler = (event) => { |
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if (event.origin !== url) return; |
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if (event.data === 'loaded') { |
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tab.postMessage(JSON.stringify(feedbacksToShare), '*'); |
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// Remove the event listener after handling the message |
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window.removeEventListener('message', messageHandler); |
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} |
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}; |
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window.addEventListener('message', messageHandler, false); |
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}; |
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const exportHandler = async () => { |
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const _feedbacks = await exportAllFeedbacks(localStorage.token).catch((err) => { |
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toast.error(err); |
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return null; |
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}); |
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if (_feedbacks) { |
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let blob = new Blob([JSON.stringify(_feedbacks)], { |
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type: 'application/json' |
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}); |
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saveAs(blob, `feedback-history-export-${Date.now()}.json`); |
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} |
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}; |
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const loadEmbeddingModel = async () => { |
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// Check if the tokenizer and model are already loaded and stored in the window object |
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if (!window.tokenizer) { |
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window.tokenizer = await AutoTokenizer.from_pretrained(EMBEDDING_MODEL); |
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} |
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if (!window.model) { |
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window.model = await AutoModel.from_pretrained(EMBEDDING_MODEL); |
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} |
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tokenizer = window.tokenizer; |
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model = window.model; |
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const allTags = new Set(feedbacks.flatMap((feedback) => feedback.data.tags || [])); |
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await getTagEmbeddings(Array.from(allTags)); |
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}; |
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onMount(async () => { |
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feedbacks = await getAllFeedbacks(localStorage.token); |
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loaded = true; |
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rankHandler(); |
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}); |
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</script> |
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{#if loaded} |
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<div class="mt-0.5 mb-2 gap-1 flex flex-col md:flex-row justify-between"> |
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<div class="flex md:self-center text-lg font-medium px-0.5 shrink-0 items-center"> |
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<div class=" gap-1"> |
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{$i18n.t('Leaderboard')} |
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</div> |
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<div class="flex self-center w-[1px] h-6 mx-2.5 bg-gray-50 dark:bg-gray-850" /> |
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<span class="text-lg font-medium text-gray-500 dark:text-gray-300 mr-1.5" |
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>{rankedModels.length}</span |
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> |
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</div> |
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<div class=" flex space-x-2"> |
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<Tooltip content={$i18n.t('Re-rank models by topic similarity')}> |
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<div class="flex flex-1"> |
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<div class=" self-center ml-1 mr-3"> |
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<MagnifyingGlass className="size-3" /> |
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</div> |
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<input |
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class=" w-full text-sm pr-4 py-1 rounded-r-xl outline-none bg-transparent" |
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bind:value={query} |
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placeholder={$i18n.t('Search')} |
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on:focus={() => { |
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loadEmbeddingModel(); |
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}} |
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/> |
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</div> |
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</Tooltip> |
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</div> |
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</div> |
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<div |
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class="scrollbar-hidden relative whitespace-nowrap overflow-x-auto max-w-full rounded pt-0.5" |
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> |
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{#if loadingLeaderboard} |
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<div class=" absolute top-0 bottom-0 left-0 right-0 flex"> |
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<div class="m-auto"> |
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<Spinner /> |
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</div> |
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</div> |
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{/if} |
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{#if (rankedModels ?? []).length === 0} |
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<div class="text-center text-xs text-gray-500 dark:text-gray-400 py-1"> |
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{$i18n.t('No models found')} |
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</div> |
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{:else} |
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<table |
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class="w-full text-sm text-left text-gray-500 dark:text-gray-400 table-auto max-w-full rounded {loadingLeaderboard |
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? 'opacity-20' |
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: ''}" |
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> |
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<thead |
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class="text-xs text-gray-700 uppercase bg-gray-50 dark:bg-gray-850 dark:text-gray-400 -translate-y-0.5" |
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> |
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<tr class=""> |
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<th scope="col" class="px-3 py-1.5 cursor-pointer select-none w-3"> |
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{$i18n.t('RK')} |
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</th> |
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<th scope="col" class="px-3 py-1.5 cursor-pointer select-none"> |
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{$i18n.t('Model')} |
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</th> |
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<th scope="col" class="px-3 py-1.5 text-right cursor-pointer select-none w-fit"> |
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{$i18n.t('Rating')} |
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</th> |
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<th scope="col" class="px-3 py-1.5 text-right cursor-pointer select-none w-5"> |
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{$i18n.t('Won')} |
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</th> |
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<th scope="col" class="px-3 py-1.5 text-right cursor-pointer select-none w-5"> |
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{$i18n.t('Lost')} |
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</th> |
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</tr> |
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</thead> |
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<tbody class=""> |
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{#each rankedModels as model, modelIdx (model.id)} |
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<tr class="bg-white dark:bg-gray-900 dark:border-gray-850 text-xs group"> |
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<td class="px-3 py-1.5 text-left font-medium text-gray-900 dark:text-white w-fit"> |
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<div class=" line-clamp-1"> |
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{model?.rating !== '-' ? modelIdx + 1 : '-'} |
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</div> |
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</td> |
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<td class="px-3 py-1.5 flex flex-col justify-center"> |
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<div class="flex items-center gap-2"> |
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<div class="flex-shrink-0"> |
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<img |
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src={model?.info?.meta?.profile_image_url ?? '/favicon.png'} |
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alt={model.name} |
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class="size-5 rounded-full object-cover shrink-0" |
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/> |
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</div> |
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<div class="font-medium text-gray-800 dark:text-gray-200 pr-4"> |
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{model.name} |
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</div> |
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</div> |
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</td> |
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<td class="px-3 py-1.5 text-right font-medium text-gray-900 dark:text-white w-max"> |
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{model.rating} |
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</td> |
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<td class=" px-3 py-1.5 text-right font-semibold text-green-500"> |
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<div class=" w-10"> |
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{#if model.stats.won === '-'} |
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- |
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{:else} |
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<span class="hidden group-hover:inline" |
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>{((model.stats.won / model.stats.count) * 100).toFixed(1)}%</span |
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> |
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<span class=" group-hover:hidden">{model.stats.won}</span> |
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{/if} |
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</div> |
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</td> |
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<td class="px-3 py-1.5 text-right font-semibold text-red-500"> |
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<div class=" w-10"> |
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{#if model.stats.lost === '-'} |
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- |
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{:else} |
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<span class="hidden group-hover:inline" |
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>{((model.stats.lost / model.stats.count) * 100).toFixed(1)}%</span |
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> |
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<span class=" group-hover:hidden">{model.stats.lost}</span> |
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{/if} |
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</div> |
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</td> |
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</tr> |
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{/each} |
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</tbody> |
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</table> |
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{/if} |
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</div> |
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<div class=" text-gray-500 text-xs mt-1.5 w-full flex justify-end"> |
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<div class=" text-right"> |
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<div class="line-clamp-1"> |
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ⓘ {$i18n.t( |
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'The evaluation leaderboard is based on the Elo rating system and is updated in real-time.' |
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)} |
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</div> |
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{$i18n.t( |
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'The leaderboard is currently in beta, and we may adjust the rating calculations as we refine the algorithm.' |
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)} |
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</div> |
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</div> |
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<div class="pb-4"></div> |
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<div class="mt-0.5 mb-2 gap-1 flex flex-col md:flex-row justify-between"> |
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<div class="flex md:self-center text-lg font-medium px-0.5"> |
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{$i18n.t('Feedback History')} |
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<div class="flex self-center w-[1px] h-6 mx-2.5 bg-gray-50 dark:bg-gray-850" /> |
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<span class="text-lg font-medium text-gray-500 dark:text-gray-300">{feedbacks.length}</span> |
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</div> |
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<div> |
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<div> |
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<Tooltip content={$i18n.t('Export')}> |
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<button |
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class=" p-2 rounded-xl hover:bg-gray-100 dark:bg-gray-900 dark:hover:bg-gray-850 transition font-medium text-sm flex items-center space-x-1" |
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on:click={() => { |
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exportHandler(); |
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}} |
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> |
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<ArrowDownTray className="size-3" /> |
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</button> |
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</Tooltip> |
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</div> |
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</div> |
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</div> |
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<div |
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class="scrollbar-hidden relative whitespace-nowrap overflow-x-auto max-w-full rounded pt-0.5" |
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> |
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{#if (feedbacks ?? []).length === 0} |
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<div class="text-center text-xs text-gray-500 dark:text-gray-400 py-1"> |
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{$i18n.t('No feedbacks found')} |
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</div> |
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{:else} |
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<table |
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class="w-full text-sm text-left text-gray-500 dark:text-gray-400 table-auto max-w-full rounded" |
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> |
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<thead |
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class="text-xs text-gray-700 uppercase bg-gray-50 dark:bg-gray-850 dark:text-gray-400 -translate-y-0.5" |
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> |
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<tr class=""> |
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<th scope="col" class="px-3 text-right cursor-pointer select-none w-0"> |
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{$i18n.t('User')} |
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</th> |
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<th scope="col" class="px-3 pr-1.5 cursor-pointer select-none"> |
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{$i18n.t('Models')} |
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</th> |
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<th scope="col" class="px-3 py-1.5 text-right cursor-pointer select-none w-fit"> |
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{$i18n.t('Result')} |
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</th> |
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<th scope="col" class="px-3 py-1.5 text-right cursor-pointer select-none w-0"> |
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{$i18n.t('Updated At')} |
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</th> |
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<th scope="col" class="px-3 py-1.5 text-right cursor-pointer select-none w-0"> </th> |
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</tr> |
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</thead> |
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<tbody class=""> |
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{#each paginatedFeedbacks as feedback (feedback.id)} |
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<tr class="bg-white dark:bg-gray-900 dark:border-gray-850 text-xs"> |
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<td class=" py-0.5 text-right font-semibold"> |
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<div class="flex justify-center"> |
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<Tooltip content={feedback?.user?.name}> |
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<div class="flex-shrink-0"> |
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<img |
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src={feedback?.user?.profile_image_url ?? '/user.png'} |
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alt={feedback?.user?.name} |
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class="size-5 rounded-full object-cover shrink-0" |
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/> |
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</div> |
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</Tooltip> |
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</div> |
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</td> |
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|
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<td class=" py-1 pl-3 flex flex-col"> |
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<div class="flex flex-col items-start gap-0.5 h-full"> |
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<div class="flex flex-col h-full"> |
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{#if feedback.data?.sibling_model_ids} |
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<div class="font-semibold text-gray-600 dark:text-gray-400 flex-1"> |
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{feedback.data?.model_id} |
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</div> |
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|
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<Tooltip content={feedback.data.sibling_model_ids.join(', ')}> |
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<div class=" text-[0.65rem] text-gray-600 dark:text-gray-400 line-clamp-1"> |
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{#if feedback.data.sibling_model_ids.length > 2} |
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{$i18n.t('and {{COUNT} |
|
{feedback.data.sibling_model_ids.slice(0, 2).join(', ')}, {$i18n.t( |
|
'and {{COUNT}} more', |
|
{ COUNT: feedback.data.sibling_model_ids.length - 2 } |
|
)} |
|
{:else} |
|
{feedback.data.sibling_model_ids.join(', ')} |
|
{/if} |
|
</div> |
|
</Tooltip> |
|
{:else} |
|
<div |
|
class=" text-sm font-medium text-gray-600 dark:text-gray-400 flex-1 py-1.5" |
|
> |
|
{feedback.data?.model_id} |
|
</div> |
|
{/if} |
|
</div> |
|
</div> |
|
</td> |
|
<td class="px-3 py-1 text-right font-medium text-gray-900 dark:text-white w-max"> |
|
<div class=" flex justify-end"> |
|
{#if feedback.data.rating.toString() === '1'} |
|
<Badge type="info" content={$i18n.t('Won')} /> |
|
{:else if feedback.data.rating.toString() === '0'} |
|
<Badge type="muted" content={$i18n.t('Draw')} /> |
|
{:else if feedback.data.rating.toString() === '-1'} |
|
<Badge type="error" content={$i18n.t('Lost')} /> |
|
{/if} |
|
</div> |
|
</td> |
|
|
|
<td class=" px-3 py-1 text-right font-medium"> |
|
{dayjs(feedback.updated_at * 1000).fromNow()} |
|
</td> |
|
|
|
<td class=" px-3 py-1 text-right font-semibold"> |
|
<FeedbackMenu |
|
on:delete={(e) => { |
|
deleteFeedbackHandler(feedback.id); |
|
}} |
|
> |
|
<button |
|
class="self-center w-fit text-sm p-1.5 dark:text-gray-300 dark:hover:text-white hover:bg-black/5 dark:hover:bg-white/5 rounded-xl" |
|
> |
|
<EllipsisHorizontal /> |
|
</button> |
|
</FeedbackMenu> |
|
</td> |
|
</tr> |
|
{/each} |
|
</tbody> |
|
</table> |
|
{/if} |
|
</div> |
|
|
|
{#if feedbacks.length > 0} |
|
<div class=" flex flex-col justify-end w-full text-right gap-1"> |
|
<div class="line-clamp-1 text-gray-500 text-xs"> |
|
{$i18n.t('Help us create the best community leaderboard by sharing your feedback history!')} |
|
</div> |
|
|
|
<div class="flex space-x-1 ml-auto"> |
|
<Tooltip |
|
content={$i18n.t( |
|
'To protect your privacy, only ratings, model IDs, tags, and metadata are shared from your feedback—your chat logs remain private and are not included.' |
|
)} |
|
> |
|
<button |
|
class="flex text-xs items-center px-3 py-1.5 rounded-xl bg-gray-50 hover:bg-gray-100 dark:bg-gray-850 dark:hover:bg-gray-800 dark:text-gray-200 transition" |
|
on:click={async () => { |
|
shareHandler(); |
|
}} |
|
> |
|
<div class=" self-center mr-2 font-medium line-clamp-1"> |
|
{$i18n.t('Share to OpenWebUI Community')} |
|
</div> |
|
|
|
<div class=" self-center"> |
|
<CloudArrowUp className="size-3" strokeWidth="3" /> |
|
</div> |
|
</button> |
|
</Tooltip> |
|
</div> |
|
</div> |
|
{/if} |
|
|
|
{#if feedbacks.length > 10} |
|
<Pagination bind:page count={feedbacks.length} perPage={10} /> |
|
{/if} |
|
|
|
<div class="pb-12"></div> |
|
{/if} |
|
|