Cache model list for network failures.
Browse files- package.json +1 -1
- src/app/model-list.js +37 -4
- src/model-cache-filtered.json +531 -0
- src/model-cache.json +0 -0
package.json
CHANGED
|
@@ -1,6 +1,6 @@
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| 1 |
{
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| 2 |
"name": "localm",
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| 3 |
-
"version": "1.1.
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| 4 |
"description": "Chat application",
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| 5 |
"scripts": {
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| 6 |
"build": "esbuild src/index.js --target=es6 --bundle --sourcemap --outfile=./index.js --format=iife --external:fs --external:path --external:child_process --external:ws --external:katex/dist/katex.min.css",
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| 1 |
{
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| 2 |
"name": "localm",
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| 3 |
+
"version": "1.1.22",
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| 4 |
"description": "Chat application",
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| 5 |
"scripts": {
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| 6 |
"build": "esbuild src/index.js --target=es6 --bundle --sourcemap --outfile=./index.js --format=iife --external:fs --external:path --external:child_process --external:ws --external:katex/dist/katex.min.css",
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src/app/model-list.js
CHANGED
|
@@ -1,5 +1,7 @@
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| 1 |
// @ts-check
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| 2 |
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| 3 |
/**
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| 4 |
* @typedef {{
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* id: string,
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@@ -24,6 +26,8 @@
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| 24 |
let modelCache = null;
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| 25 |
let cacheTimestamp = 0;
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| 26 |
const CACHE_DURATION = 5 * 60 * 1000; // 5 minutes
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/**
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| 29 |
* Size thresholds for mobile capability (in billions of parameters)
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@@ -113,15 +117,44 @@ export async function fetchBrowserModels() {
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| 113 |
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| 114 |
modelCache = final;
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| 115 |
cacheTimestamp = now;
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| 116 |
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| 117 |
console.log(`Selected ${auth.length} auth + ${pub.length} public models (total ${final.length})`);
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| 118 |
-
return final;
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| 119 |
} catch (error) {
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| 120 |
console.error('Failed to fetch models from Hugging Face Hub:', error);
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| 121 |
-
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| 122 |
-
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| 123 |
-
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}
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}
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| 127 |
/**
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| 1 |
// @ts-check
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| 3 |
+
import fallbackModels from '../model-cache-filtered.json';
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+
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| 5 |
/**
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| 6 |
* @typedef {{
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| 7 |
* id: string,
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| 26 |
let modelCache = null;
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| 27 |
let cacheTimestamp = 0;
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| 28 |
const CACHE_DURATION = 5 * 60 * 1000; // 5 minutes
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| 29 |
+
const STORAGE_KEY = 'localm_models_cache_v1';
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| 30 |
+
const STORAGE_TTL = 24 * 60 * 60 * 1000; // 24 hours for persisted cache
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| 31 |
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| 32 |
/**
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| 33 |
* Size thresholds for mobile capability (in billions of parameters)
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| 117 |
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| 118 |
modelCache = final;
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| 119 |
cacheTimestamp = now;
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| 120 |
+
// Persist filtered list to localStorage as a fallback for offline or HF failures
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| 121 |
+
try {
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| 122 |
+
if (typeof localStorage !== 'undefined') {
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+
const payload = JSON.stringify({ ts: now, models: final });
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+
localStorage.setItem(STORAGE_KEY, payload);
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+
}
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+
} catch (e) {
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+
// ignore storage errors
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+
}
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| 130 |
console.log(`Selected ${auth.length} auth + ${pub.length} public models (total ${final.length})`);
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+
if (final.length) return final;
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} catch (error) {
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| 133 |
console.error('Failed to fetch models from Hugging Face Hub:', error);
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+
// Try to restore from persisted cache before returning static fallback
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+
}
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| 136 |
+
try {
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| 137 |
+
if (typeof localStorage !== 'undefined') {
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+
const raw = localStorage.getItem(STORAGE_KEY);
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+
if (raw) {
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| 140 |
+
const parsed = JSON.parse(raw);
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| 141 |
+
if (parsed && Array.isArray(parsed.models)) {
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+
const age = Date.now() - (parsed.ts || 0);
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+
if (age < STORAGE_TTL) {
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+
console.warn('Restoring models from localStorage cache (age ' + Math.round(age / 1000) + 's)');
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+
modelCache = parsed.models;
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+
cacheTimestamp = Date.now();
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+
return modelCache;
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| 148 |
+
}
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+
}
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+
}
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+
}
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+
} catch (e) {
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+
// ignore parse/storage errors
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}
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+
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| 156 |
+
// Return fallback models if API fails and no persisted cache
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| 157 |
+
return fallbackModels;
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| 158 |
}
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| 159 |
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| 160 |
/**
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src/model-cache-filtered.json
ADDED
|
@@ -0,0 +1,531 @@
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|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"id": "sentence-transformers/all-MiniLM-L6-v2",
|
| 4 |
+
"name": "All MiniLM L6 V2",
|
| 5 |
+
"vendor": "sentence-transformers",
|
| 6 |
+
"size": "5.0B",
|
| 7 |
+
"slashCommand": "allminil",
|
| 8 |
+
"description": "5.0B parameter model from sentence-transformers",
|
| 9 |
+
"downloads": 91944061,
|
| 10 |
+
"pipeline_tag": "sentence-similarity",
|
| 11 |
+
"requiresAuth": false,
|
| 12 |
+
"hasOnnx": true,
|
| 13 |
+
"hasTokenizer": true,
|
| 14 |
+
"missingFiles": false,
|
| 15 |
+
"missingReason": "",
|
| 16 |
+
"tags": [
|
| 17 |
+
"sentence-transformers",
|
| 18 |
+
"pytorch",
|
| 19 |
+
"tf",
|
| 20 |
+
"rust",
|
| 21 |
+
"onnx",
|
| 22 |
+
"safetensors",
|
| 23 |
+
"openvino",
|
| 24 |
+
"bert",
|
| 25 |
+
"feature-extraction",
|
| 26 |
+
"sentence-similarity",
|
| 27 |
+
"transformers",
|
| 28 |
+
"en",
|
| 29 |
+
"dataset:s2orc",
|
| 30 |
+
"dataset:flax-sentence-embeddings/stackexchange_xml",
|
| 31 |
+
"dataset:ms_marco",
|
| 32 |
+
"dataset:gooaq",
|
| 33 |
+
"dataset:yahoo_answers_topics",
|
| 34 |
+
"dataset:code_search_net",
|
| 35 |
+
"dataset:search_qa",
|
| 36 |
+
"dataset:eli5",
|
| 37 |
+
"dataset:snli",
|
| 38 |
+
"dataset:multi_nli",
|
| 39 |
+
"dataset:wikihow",
|
| 40 |
+
"dataset:natural_questions",
|
| 41 |
+
"dataset:trivia_qa",
|
| 42 |
+
"dataset:embedding-data/sentence-compression",
|
| 43 |
+
"dataset:embedding-data/flickr30k-captions",
|
| 44 |
+
"dataset:embedding-data/altlex",
|
| 45 |
+
"dataset:embedding-data/simple-wiki",
|
| 46 |
+
"dataset:embedding-data/QQP",
|
| 47 |
+
"dataset:embedding-data/SPECTER",
|
| 48 |
+
"dataset:embedding-data/PAQ_pairs",
|
| 49 |
+
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"missingReason": "",
|
| 474 |
+
"tags": [
|
| 475 |
+
"transformers",
|
| 476 |
+
"pytorch",
|
| 477 |
+
"tf",
|
| 478 |
+
"jax",
|
| 479 |
+
"rust",
|
| 480 |
+
"onnx",
|
| 481 |
+
"safetensors",
|
| 482 |
+
"gpt2",
|
| 483 |
+
"text-generation",
|
| 484 |
+
"en",
|
| 485 |
+
"arxiv:1910.09700",
|
| 486 |
+
"license:mit",
|
| 487 |
+
"autotrain_compatible",
|
| 488 |
+
"text-generation-inference",
|
| 489 |
+
"endpoints_compatible",
|
| 490 |
+
"region:us"
|
| 491 |
+
]
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"id": "sentence-transformers/all-roberta-large-v1",
|
| 495 |
+
"name": "All Roberta Large V1",
|
| 496 |
+
"vendor": "sentence-transformers",
|
| 497 |
+
"size": "5.0B",
|
| 498 |
+
"slashCommand": "allrober",
|
| 499 |
+
"description": "5.0B parameter model from sentence-transformers",
|
| 500 |
+
"downloads": 2215738,
|
| 501 |
+
"pipeline_tag": "sentence-similarity",
|
| 502 |
+
"requiresAuth": false,
|
| 503 |
+
"hasOnnx": true,
|
| 504 |
+
"hasTokenizer": true,
|
| 505 |
+
"missingFiles": false,
|
| 506 |
+
"missingReason": "",
|
| 507 |
+
"tags": [
|
| 508 |
+
"sentence-transformers",
|
| 509 |
+
"pytorch",
|
| 510 |
+
"onnx",
|
| 511 |
+
"safetensors",
|
| 512 |
+
"openvino",
|
| 513 |
+
"roberta",
|
| 514 |
+
"fill-mask",
|
| 515 |
+
"feature-extraction",
|
| 516 |
+
"sentence-similarity",
|
| 517 |
+
"transformers",
|
| 518 |
+
"en",
|
| 519 |
+
"arxiv:1904.06472",
|
| 520 |
+
"arxiv:2102.07033",
|
| 521 |
+
"arxiv:2104.08727",
|
| 522 |
+
"arxiv:1704.05179",
|
| 523 |
+
"arxiv:1810.09305",
|
| 524 |
+
"license:apache-2.0",
|
| 525 |
+
"autotrain_compatible",
|
| 526 |
+
"text-embeddings-inference",
|
| 527 |
+
"endpoints_compatible",
|
| 528 |
+
"region:us"
|
| 529 |
+
]
|
| 530 |
+
}
|
| 531 |
+
]
|
src/model-cache.json
ADDED
|
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|
|
|