forked from open-webui/open-webui
refac
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8f570bc2ee
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3853261b40
3 changed files with 134 additions and 114 deletions
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@ -249,7 +249,8 @@ export const deleteModel = async (token: string, tagName: string) => {
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};
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};
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export const pullModel = async (token: string, tagName: string) => {
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export const pullModel = async (token: string, tagName: string) => {
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try {
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let error = null;
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const res = await fetch(`${OLLAMA_API_BASE_URL}/pull`, {
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const res = await fetch(`${OLLAMA_API_BASE_URL}/pull`, {
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method: 'POST',
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method: 'POST',
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headers: {
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headers: {
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@ -259,9 +260,31 @@ try {
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body: JSON.stringify({
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body: JSON.stringify({
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name: tagName
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name: tagName
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})
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})
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})
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}).catch((err) => {
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return res;
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console.log(err);
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} catch (error) {
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error = err;
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if ('detail' in err) {
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error = err.detail;
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}
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return null;
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});
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if (error) {
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throw error;
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throw error;
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}
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}
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return res;
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};
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};
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// export const pullModel = async (token: string, tagName: string) => {
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// return await fetch(`${OLLAMA_API_BASE_URL}/pull`, {
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// method: 'POST',
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// headers: {
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// 'Content-Type': 'text/event-stream',
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// Authorization: `Bearer ${token}`
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// },
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// body: JSON.stringify({
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// name: tagName
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// })
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// });
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// };
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@ -51,7 +51,11 @@
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let notificationEnabled = false;
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let notificationEnabled = false;
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let system = '';
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let system = '';
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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((task:{modelName: string}, cb) => pullModelHandlerProcessor({modelName: task.modelName, callback: cb}), MAX_PARALLEL_DOWNLOADS);
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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 modelDownloadStatus: Record<string, any> = {};
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// Advanced
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// Advanced
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@ -250,11 +254,13 @@
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saveSettings({ saveChatHistory: saveChatHistory });
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saveSettings({ saveChatHistory: saveChatHistory });
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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 pullModelHandlerProcessor = async (opts: { modelName: string; callback: Function }) => {
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const res = await pullModel(localStorage.token, opts.modelName).catch((error) => {
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try {
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opts.callback({ success: false, error, modelName: opts.modelName });
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const res = await pullModel(localStorage.token, opts.modelName);
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return null;
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});
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if (res) {
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const reader = res.body
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const reader = res.body
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.pipeThrough(new TextDecoderStream())
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.pipeThrough(new TextDecoderStream())
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.pipeThrough(splitStream('\n'))
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.pipeThrough(splitStream('\n'))
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@ -284,88 +290,56 @@
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} else {
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} else {
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downloadProgress = 100;
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downloadProgress = 100;
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}
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}
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modelDownloadStatus[opts.modelName] = {pullProgress: downloadProgress, digest: data.digest};
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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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}
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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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}
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} catch (error) {
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} catch (error) {
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console.log('Failed to read from data stream', error);
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console.log(error);
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throw 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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opts.callback({success: true, modelName: opts.modelName});
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opts.callback({ success: true, modelName: opts.modelName });
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} catch (error) {
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console.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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const pullModelHandler = async() => {
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const pullModelHandler = async () => {
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if(modelDownloadStatus[modelTag]){
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if (modelDownloadStatus[modelTag]) {
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toast.error("Model already in queue for downloading.");
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toast.error('Model already in queue for downloading.');
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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(modelDownloadStatus).length === 3) {
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toast.error('Maximum of 3 models can be downloading simultaneously. Please try again later');
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toast.error('Maximum of 3 models can be downloading simultaneously. Please try again later');
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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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modelTransferring = true;
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modelDownloadQueue.push({modelName: modelTag},async (data:{modelName: string; success: boolean; error?: Error}) => {
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modelDownloadQueue.push(
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const {modelName} = data;
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{ modelName: modelTag },
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async (data: { modelName: string; success: boolean; error?: Error }) => {
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const { modelName } = data;
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// Remove the downloaded model
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// Remove the downloaded model
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delete modelDownloadStatus[modelName];
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delete modelDownloadStatus[modelName];
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if(!data.success){
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console.log(data);
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toast.error(`There was some issue in downloading the model ${modelName}`);
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if (!data.success) {
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toast.error(data.error);
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return;
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return;
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}
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}
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toast.success(`Model ${modelName} was successfully downloaded`);
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toast.success(`Model ${modelName} was successfully downloaded`);
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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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);
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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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}
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const calculateSHA256 = async (file) => {
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console.log(file);
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// Create a FileReader to read the file asynchronously
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const reader = new FileReader();
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// Define a promise to handle the file reading
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const readFile = new Promise((resolve, reject) => {
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reader.onload = () => resolve(reader.result);
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reader.onerror = reject;
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});
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// Read the file as an ArrayBuffer
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reader.readAsArrayBuffer(file);
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try {
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// Wait for the FileReader to finish reading the file
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const buffer = await readFile;
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// Convert the ArrayBuffer to a Uint8Array
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const uint8Array = new Uint8Array(buffer);
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// Calculate the SHA-256 hash using Web Crypto API
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const hashBuffer = await crypto.subtle.digest('SHA-256', uint8Array);
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// Convert the hash to a hexadecimal string
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const hashArray = Array.from(new Uint8Array(hashBuffer));
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const hashHex = hashArray.map((byte) => byte.toString(16).padStart(2, '0')).join('');
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return `sha256:${hashHex}`;
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} catch (error) {
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console.error('Error calculating SHA-256 hash:', error);
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throw error;
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}
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};
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};
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const uploadModelHandler = async () => {
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const uploadModelHandler = async () => {
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@ -1190,34 +1164,22 @@
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</div>
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</div>
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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(modelDownloadStatus).length > 0}
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<table class="w-full text-sm text-left text-gray-500 dark:text-gray-400">
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<thead
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class="text-xs text-gray-700 uppercase bg-gray-50 dark:bg-gray-700 dark:text-gray-400"
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>
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<tr>
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<th scope="col" class="px-6 py-3"> Model Name </th>
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<th scope="col" class="px-6 py-3"> Download progress </th>
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</tr>
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</thead>
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<tbody>
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{#each Object.entries(modelDownloadStatus) as [modelName, payload]}
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{#each Object.entries(modelDownloadStatus) as [modelName, payload]}
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<tr class="bg-white border-b dark:bg-gray-800 dark:border-gray-700">
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<div class="flex flex-col">
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<td class="px-6 py-4">{modelName}</td>
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<div class="font-medium mb-0.5">{modelName}</div>
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<td class="px-6 py-4">
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<div class="">
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<div
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<div
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class="dark:bg-gray-600 bg-green-600 text-xs font-medium text-blue-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(15, payload.pullProgress ?? 0)}%"
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style="width: {Math.max(15, payload.pullProgress ?? 0)}%"
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>
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>
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{ payload.pullProgress ?? 0}%
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{payload.pullProgress ?? 0}%
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</div>
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</div>
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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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{payload.digest}
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{payload.digest}
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</div>
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</div>
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</td>
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</div>
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</tr>
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</div>
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{/each}
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{/each}
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</tbody>
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</table>
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{/if}
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{/if}
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<hr class=" dark:border-gray-700" />
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<hr class=" dark:border-gray-700" />
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@ -127,3 +127,38 @@ export const findWordIndices = (text) => {
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return matches;
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return matches;
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};
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};
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export const calculateSHA256 = async (file) => {
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console.log(file);
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// Create a FileReader to read the file asynchronously
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const reader = new FileReader();
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// Define a promise to handle the file reading
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const readFile = new Promise((resolve, reject) => {
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reader.onload = () => resolve(reader.result);
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reader.onerror = reject;
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});
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// Read the file as an ArrayBuffer
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reader.readAsArrayBuffer(file);
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try {
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// Wait for the FileReader to finish reading the file
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const buffer = await readFile;
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// Convert the ArrayBuffer to a Uint8Array
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const uint8Array = new Uint8Array(buffer);
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// Calculate the SHA-256 hash using Web Crypto API
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const hashBuffer = await crypto.subtle.digest('SHA-256', uint8Array);
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// Convert the hash to a hexadecimal string
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const hashArray = Array.from(new Uint8Array(hashBuffer));
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const hashHex = hashArray.map((byte) => byte.toString(16).padStart(2, '0')).join('');
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return `sha256:${hashHex}`;
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} catch (error) {
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console.error('Error calculating SHA-256 hash:', error);
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throw error;
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}
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};
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