forked from open-webui/open-webui
refac: model download
This commit is contained in:
Timothy J. Baek
parent
4809d363b3
commit
cc3312157b
1 changed files with 119 additions and 129 deletions
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@ -13,7 +13,7 @@
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uploadModel
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uploadModel
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} from '$lib/apis/ollama';
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} from '$lib/apis/ollama';
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import { WEBUI_API_BASE_URL, WEBUI_BASE_URL } from '$lib/constants';
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import { WEBUI_API_BASE_URL, WEBUI_BASE_URL } from '$lib/constants';
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import { WEBUI_NAME, models, user } from '$lib/stores';
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import { WEBUI_NAME, models, MODEL_DOWNLOAD_POOL, user } from '$lib/stores';
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import { splitStream } from '$lib/utils';
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import { splitStream } from '$lib/utils';
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import { onMount, getContext } from 'svelte';
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import { onMount, getContext } from 'svelte';
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import { addLiteLLMModel, deleteLiteLLMModel, getLiteLLMModelInfo } from '$lib/apis/litellm';
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import { addLiteLLMModel, deleteLiteLLMModel, getLiteLLMModelInfo } from '$lib/apis/litellm';
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@ -50,12 +50,6 @@
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let showExperimentalOllama = false;
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let showExperimentalOllama = false;
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let ollamaVersion = '';
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let ollamaVersion = '';
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const MAX_PARALLEL_DOWNLOADS = 3;
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const MAX_PARALLEL_DOWNLOADS = 3;
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const modelDownloadQueue = queue(
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(task: { modelName: string }, cb) =>
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pullModelHandlerProcessor({ modelName: task.modelName, callback: cb }),
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MAX_PARALLEL_DOWNLOADS
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);
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let modelDownloadStatus: Record<string, any> = {};
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let modelTransferring = false;
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let modelTransferring = false;
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let modelTag = '';
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let modelTag = '';
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@ -140,7 +134,8 @@
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const pullModelHandler = async () => {
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const pullModelHandler = async () => {
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const sanitizedModelTag = modelTag.trim().replace(/^ollama\s+(run|pull)\s+/, '');
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const sanitizedModelTag = modelTag.trim().replace(/^ollama\s+(run|pull)\s+/, '');
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if (modelDownloadStatus[sanitizedModelTag]) {
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console.log($MODEL_DOWNLOAD_POOL);
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if ($MODEL_DOWNLOAD_POOL[sanitizedModelTag]) {
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toast.error(
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toast.error(
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$i18n.t(`Model '{{modelTag}}' is already in queue for downloading.`, {
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$i18n.t(`Model '{{modelTag}}' is already in queue for downloading.`, {
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modelTag: sanitizedModelTag
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modelTag: sanitizedModelTag
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@ -148,40 +143,117 @@
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);
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);
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return;
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return;
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}
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}
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if (Object.keys(modelDownloadStatus).length === 3) {
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if (Object.keys($MODEL_DOWNLOAD_POOL).length === MAX_PARALLEL_DOWNLOADS) {
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toast.error(
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toast.error(
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$i18n.t('Maximum of 3 models can be downloaded simultaneously. Please try again later.')
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$i18n.t('Maximum of 3 models can be downloaded simultaneously. Please try again later.')
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);
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);
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return;
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return;
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}
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}
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modelTransferring = true;
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const res = await pullModel(localStorage.token, sanitizedModelTag, '0').catch((error) => {
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toast.error(error);
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return null;
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});
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modelDownloadQueue.push(
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if (res) {
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{ modelName: sanitizedModelTag },
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const reader = res.body
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async (data: { modelName: string; success: boolean; error?: Error }) => {
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.pipeThrough(new TextDecoderStream())
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const { modelName } = data;
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.pipeThrough(splitStream('\n'))
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// Remove the downloaded model
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.getReader();
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delete modelDownloadStatus[modelName];
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modelDownloadStatus = { ...modelDownloadStatus };
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while (true) {
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try {
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const { value, done } = await reader.read();
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if (done) break;
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if (!data.success) {
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let lines = value.split('\n');
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toast.error(data.error);
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} else {
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toast.success(
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$i18n.t(`Model '{{modelName}}' has been successfully downloaded.`, { modelName })
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);
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const notification = new Notification($WEBUI_NAME, {
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for (const line of lines) {
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body: $i18n.t(`Model '{{modelName}}' has been successfully downloaded.`, { modelName }),
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if (line !== '') {
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icon: `${WEBUI_BASE_URL}/static/favicon.png`
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let data = JSON.parse(line);
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});
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console.log(data);
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if (data.error) {
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throw data.error;
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}
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if (data.detail) {
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throw data.detail;
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}
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models.set(await getModels());
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if (data.id) {
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MODEL_DOWNLOAD_POOL.set({
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...$MODEL_DOWNLOAD_POOL,
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[sanitizedModelTag]: {
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...$MODEL_DOWNLOAD_POOL[sanitizedModelTag],
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requestId: data.id,
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reader,
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done: false
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}
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});
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console.log(data);
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}
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if (data.status) {
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if (data.digest) {
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let downloadProgress = 0;
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if (data.completed) {
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downloadProgress = Math.round((data.completed / data.total) * 1000) / 10;
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} else {
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downloadProgress = 100;
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}
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MODEL_DOWNLOAD_POOL.set({
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...$MODEL_DOWNLOAD_POOL,
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[sanitizedModelTag]: {
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...$MODEL_DOWNLOAD_POOL[sanitizedModelTag],
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pullProgress: downloadProgress,
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digest: data.digest
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}
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});
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} else {
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toast.success(data.status);
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MODEL_DOWNLOAD_POOL.set({
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...$MODEL_DOWNLOAD_POOL,
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[sanitizedModelTag]: {
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...$MODEL_DOWNLOAD_POOL[sanitizedModelTag],
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done: data.status === 'success'
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}
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});
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}
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}
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}
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}
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} catch (error) {
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console.log(error);
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if (typeof error !== 'string') {
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error = error.message;
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}
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toast.error(error);
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// opts.callback({ success: false, error, modelName: opts.modelName });
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}
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}
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}
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}
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);
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console.log($MODEL_DOWNLOAD_POOL[sanitizedModelTag]);
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if ($MODEL_DOWNLOAD_POOL[sanitizedModelTag].done) {
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toast.success(
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$i18n.t(`Model '{{modelName}}' has been successfully downloaded.`, {
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modelName: sanitizedModelTag
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})
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);
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models.set(await getModels(localStorage.token));
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} else {
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toast.error('Download canceled');
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}
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delete $MODEL_DOWNLOAD_POOL[sanitizedModelTag];
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MODEL_DOWNLOAD_POOL.set({
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...$MODEL_DOWNLOAD_POOL
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});
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}
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modelTag = '';
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modelTag = '';
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modelTransferring = false;
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modelTransferring = false;
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@ -352,88 +424,18 @@
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models.set(await getModels());
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models.set(await getModels());
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};
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};
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const pullModelHandlerProcessor = async (opts: { modelName: string; callback: Function }) => {
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const cancelModelPullHandler = async (model: string) => {
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const res = await pullModel(localStorage.token, opts.modelName, selectedOllamaUrlIdx).catch(
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const { reader, requestId } = $MODEL_DOWNLOAD_POOL[model];
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(error) => {
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if (reader) {
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opts.callback({ success: false, error, modelName: opts.modelName });
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await reader.cancel();
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return null;
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}
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);
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if (res) {
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await cancelOllamaRequest(localStorage.token, requestId);
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const reader = res.body
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delete $MODEL_DOWNLOAD_POOL[model];
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.pipeThrough(new TextDecoderStream())
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MODEL_DOWNLOAD_POOL.set({
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.pipeThrough(splitStream('\n'))
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...$MODEL_DOWNLOAD_POOL
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.getReader();
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});
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await deleteModel(localStorage.token, model);
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while (true) {
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toast.success(`${model} download has been canceled`);
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try {
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const { value, done } = await reader.read();
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if (done) break;
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let lines = value.split('\n');
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for (const line of lines) {
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if (line !== '') {
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let data = JSON.parse(line);
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console.log(data);
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if (data.error) {
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throw data.error;
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}
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if (data.detail) {
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throw data.detail;
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}
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if (data.id) {
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modelDownloadStatus[opts.modelName] = {
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...modelDownloadStatus[opts.modelName],
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requestId: data.id,
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reader,
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done: false
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};
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console.log(data);
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}
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if (data.status) {
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if (data.digest) {
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let downloadProgress = 0;
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if (data.completed) {
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downloadProgress = Math.round((data.completed / data.total) * 1000) / 10;
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} else {
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downloadProgress = 100;
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}
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modelDownloadStatus[opts.modelName] = {
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...modelDownloadStatus[opts.modelName],
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pullProgress: downloadProgress,
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digest: data.digest
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};
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} else {
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toast.success(data.status);
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modelDownloadStatus[opts.modelName] = {
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...modelDownloadStatus[opts.modelName],
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done: data.status === 'success'
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};
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}
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}
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}
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}
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} catch (error) {
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console.log(error);
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if (typeof error !== 'string') {
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error = error.message;
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}
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opts.callback({ success: false, error, modelName: opts.modelName });
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}
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}
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console.log(modelDownloadStatus[opts.modelName]);
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if (modelDownloadStatus[opts.modelName].done) {
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opts.callback({ success: true, modelName: opts.modelName });
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} else {
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opts.callback({ success: false, error: 'Download canceled', modelName: opts.modelName });
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}
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}
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}
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};
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};
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@ -503,18 +505,6 @@
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ollamaVersion = await getOllamaVersion(localStorage.token).catch((error) => false);
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ollamaVersion = await getOllamaVersion(localStorage.token).catch((error) => false);
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liteLLMModelInfo = await getLiteLLMModelInfo(localStorage.token);
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liteLLMModelInfo = await getLiteLLMModelInfo(localStorage.token);
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});
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});
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const cancelModelPullHandler = async (model: string) => {
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const { reader, requestId } = modelDownloadStatus[model];
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if (reader) {
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await reader.cancel();
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await cancelOllamaRequest(localStorage.token, requestId);
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delete modelDownloadStatus[model];
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await deleteModel(localStorage.token, model);
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toast.success(`${model} download has been canceled`);
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}
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};
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</script>
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</script>
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<div class="flex flex-col h-full justify-between text-sm">
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<div class="flex flex-col h-full justify-between text-sm">
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@ -643,9 +633,9 @@
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>
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>
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</div>
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</div>
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{#if Object.keys(modelDownloadStatus).length > 0}
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{#if Object.keys($MODEL_DOWNLOAD_POOL).length > 0}
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{#each Object.keys(modelDownloadStatus) as model}
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{#each Object.keys($MODEL_DOWNLOAD_POOL) as model}
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{#if 'pullProgress' in modelDownloadStatus[model]}
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{#if 'pullProgress' in $MODEL_DOWNLOAD_POOL[model]}
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<div class="flex flex-col">
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<div class="flex flex-col">
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<div class="font-medium mb-1">{model}</div>
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<div class="font-medium mb-1">{model}</div>
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<div class="">
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<div class="">
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@ -655,10 +645,10 @@
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class="dark:bg-gray-600 bg-gray-500 text-xs font-medium text-gray-100 text-center p-0.5 leading-none rounded-full"
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class="dark:bg-gray-600 bg-gray-500 text-xs font-medium text-gray-100 text-center p-0.5 leading-none rounded-full"
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style="width: {Math.max(
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style="width: {Math.max(
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15,
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15,
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modelDownloadStatus[model].pullProgress ?? 0
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$MODEL_DOWNLOAD_POOL[model].pullProgress ?? 0
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)}%"
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)}%"
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>
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>
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{modelDownloadStatus[model].pullProgress ?? 0}%
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{$MODEL_DOWNLOAD_POOL[model].pullProgress ?? 0}%
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</div>
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</div>
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</div>
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</div>
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@ -689,9 +679,9 @@
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</button>
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</button>
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</Tooltip>
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</Tooltip>
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</div>
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</div>
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{#if 'digest' in modelDownloadStatus[model]}
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{#if 'digest' in $MODEL_DOWNLOAD_POOL[model]}
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<div class="mt-1 text-xs dark:text-gray-500" style="font-size: 0.5rem;">
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<div class="mt-1 text-xs dark:text-gray-500" style="font-size: 0.5rem;">
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{modelDownloadStatus[model].digest}
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{$MODEL_DOWNLOAD_POOL[model].digest}
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</div>
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</div>
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{/if}
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{/if}
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</div>
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</div>
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