Added a way to secure the UI. Plus various bug fixes and quality of life updates

README.md

@@ -8,7 +8,7 @@ If you enjoy my work, or use it for commercial purposes, please consider sponsor
 
 Thank you to all my current supporters!
 
-_Last updated: 2025-03-13_
+_Last updated: 2025-03-20_
 
 ### GitHub Sponsors
 
@@ -16,7 +16,7 @@ _Last updated: 2025-03-13_
 
 ### Patreon Supporters
 
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 ---
@@ -62,36 +62,39 @@ pip install -r requirements.txt
 
 <img src="https://ostris.com/wp-content/uploads/2025/02/toolkit-ui.jpg" alt="AI Toolkit UI" width="100%">
 
-The AI Toolkit UI is a web interface for the AI Toolkit. It allows you to easily start, stop, and monitor jobs. It also allows you to easily train models with a few clicks. It is still in early beta and will likely have bugs and frequent breaking changes. It is currently only tested on linux for now.
+The AI Toolkit UI is a web interface for the AI Toolkit. It allows you to easily start, stop, and monitor jobs. It also allows you to easily train models with a few clicks. It also allows you to set a token for the UI to prevent unauthorized access so it is mostly safe to run on an exposed server.
 
-
+## Running the UI
-WARNING: The UI is not secure and should not be exposed to the internet. It is only meant to be run locally or on a server that does not have ports exposed. Adding additional security is on the roadmap.
-
-## Installing the UI
 
 Requirements:
 - Node.js > 18
 
-You will need to do this with every update as well.
+The UI does not need to be kept running for the jobs to run. It is only needed to start/stop/monitor jobs. The commands below
+will install / update the UI and it's dependencies and start the UI. 
 
 ```bash
 cd ui
-npm install
+npm run build_and_start
-npm run build
-npm run update_db
-```
-
-## Running the UI
-
-Make sure you built it as shown above. The UI does not need to be kept running for the jobs to run. It is only needed to start/stop/monitor jobs.
-
-```bash
-cd ui
-npm run start
 ```
 
 You can now access the UI at `http://localhost:8675` or `http://<your-ip>:8675` if you are running it on a server.
 
+## Securing the UI
+
+If you are hosting the UI on a cloud provider or any network that is not secure, I highly recommend securing it with an auth token. 
+You can do this by setting the environment variable `AI_TOOLKIT_AUTH` to super secure password. This token will be required to access
+the UI. You can set this when starting the UI like so:
+
+```bash
+# Linux
+AI_TOOLKIT_AUTH=super_secure_password npm run build_and_start
+
+# Windows
+set AI_TOOLKIT_AUTH=super_secure_password && npm run build_and_start
+
+# Windows Powershell
+$env:AI_TOOLKIT_AUTH="super_secure_password"; npm run build_and_start
+```
 
 
 ## FLUX.1 Training

extensions_built_in/sd_trainer/UITrainer.py

@@ -15,7 +15,8 @@ class UITrainer(SDTrainer):
         super(UITrainer, self).__init__(process_id, job, config, **kwargs)
         self.sqlite_db_path = self.config.get("sqlite_db_path", "./aitk_db.db")
         if not os.path.exists(self.sqlite_db_path):
-            raise Exception(f"SQLite database not found at {self.sqlite_db_path}")
+            raise Exception(
+                f"SQLite database not found at {self.sqlite_db_path}")
         print(f"Using SQLite database at {self.sqlite_db_path}")
         self.job_id = os.environ.get("AITK_JOB_ID", None)
         self.job_id = self.job_id.strip() if self.job_id is not None else None
@@ -147,6 +148,8 @@ class UITrainer(SDTrainer):
 
         try:
             await asyncio.gather(*self._async_tasks)
+        except Exception as e:
+            print(f"Error waiting for async operations: {e}")
         finally:
             # Clear the task list after completion
             self._async_tasks.clear()

ui/package.json

@@ -6,6 +6,7 @@
     "dev": "next dev --turbopack",
     "build": "next build",
     "start": "next start --port 8675",
+    "build_and_start": "npm install && npm run update_db && npm run build && npm run start",
     "lint": "next lint",
     "update_db": "npx prisma generate && npx prisma db push",
     "format": "prettier --write \"**/*.{js,jsx,ts,tsx,css,scss}\""

ui/src/app/api/auth/route.ts

@@ -0,0 +1,6 @@
+import { NextResponse } from 'next/server';
+
+export async function GET() {
+  // if this gets hit, auth has already been verified
+  return NextResponse.json({ isAuthenticated: true });
+}

ui/src/app/api/datasets/create/route.tsx

@@ -19,4 +19,4 @@ export async function POST(request: Request) {
   } catch (error) {
     return NextResponse.json({ error: 'Failed to create dataset' }, { status: 500 });
   }
-}
+}

ui/src/app/api/datasets/listImages/route.ts

@@ -8,31 +8,25 @@ export async function POST(request: Request) {
   const body = await request.json();
   const { datasetName } = body;
   const datasetFolder = path.join(datasetsPath, datasetName);
-  
+
   try {
     // Check if folder exists
     if (!fs.existsSync(datasetFolder)) {
-      return NextResponse.json(
+      return NextResponse.json({ error: `Folder '${datasetName}' not found` }, { status: 404 });
-        { error: `Folder '${datasetName}' not found` },
-        { status: 404 }
-      );
     }
 
     // Find all images recursively
     const imageFiles = findImagesRecursively(datasetFolder);
-    
+
     // Format response
     const result = imageFiles.map(imgPath => ({
-      img_path: imgPath
+      img_path: imgPath,
     }));
-    
+
     return NextResponse.json({ images: result });
   } catch (error) {
     console.error('Error finding images:', error);
-    return NextResponse.json(
+    return NextResponse.json({ error: 'Failed to process request' }, { status: 500 });
-      { error: 'Failed to process request' },
-      { status: 500 }
-    );
   }
 }
 
@@ -44,13 +38,13 @@ export async function POST(request: Request) {
 function findImagesRecursively(dir: string): string[] {
   const imageExtensions = ['.png', '.jpg', '.jpeg', '.webp'];
   let results: string[] = [];
-  
+
   const items = fs.readdirSync(dir);
-  
+
   for (const item of items) {
     const itemPath = path.join(dir, item);
     const stat = fs.statSync(itemPath);
-    
+
     if (stat.isDirectory()) {
       // If it's a directory, recursively search it
       results = results.concat(findImagesRecursively(itemPath));
@@ -62,6 +56,6 @@ function findImagesRecursively(dir: string): string[] {
       }
     }
   }
-  
+
   return results;
-}
+}

ui/src/app/api/files/[...filePath]/route.ts

@@ -16,7 +16,8 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
     const allowedDirs = [datasetRoot, trainingRoot];
 
     // Security check: Ensure path is in allowed directory
-    const isAllowed = allowedDirs.some(allowedDir => decodedFilePath.startsWith(allowedDir)) && !decodedFilePath.includes('..');
+    const isAllowed =
+      allowedDirs.some(allowedDir => decodedFilePath.startsWith(allowedDir)) && !decodedFilePath.includes('..');
 
     if (!isAllowed) {
       console.warn(`Access denied: ${decodedFilePath} not in ${allowedDirs.join(', ')}`);
@@ -62,7 +63,7 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
       'Accept-Ranges': 'bytes',
       'Cache-Control': 'public, max-age=86400',
       'Content-Disposition': `attachment; filename="${encodeURIComponent(filename)}"`,
-      'X-Content-Type-Options': 'nosniff'
+      'X-Content-Type-Options': 'nosniff',
     };
 
     if (range) {
@@ -70,12 +71,12 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
       const parts = range.replace(/bytes=/, '').split('-');
       const start = parseInt(parts[0], 10);
       const end = parts[1] ? parseInt(parts[1], 10) : Math.min(start + 10 * 1024 * 1024, stat.size - 1); // 10MB chunks
-      const chunkSize = (end - start) + 1;
+      const chunkSize = end - start + 1;
 
-      const fileStream = fs.createReadStream(decodedFilePath, { 
+      const fileStream = fs.createReadStream(decodedFilePath, {
-        start, 
+        start,
         end,
-        highWaterMark: 64 * 1024 // 64KB buffer
+        highWaterMark: 64 * 1024, // 64KB buffer
       });
 
       return new NextResponse(fileStream as any, {
@@ -83,19 +84,19 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
         headers: {
           ...commonHeaders,
           'Content-Range': `bytes ${start}-${end}/${stat.size}`,
-          'Content-Length': String(chunkSize)
+          'Content-Length': String(chunkSize),
         },
       });
     } else {
       // For full file download, read directly without streaming wrapper
       const fileStream = fs.createReadStream(decodedFilePath, {
-        highWaterMark: 64 * 1024 // 64KB buffer
+        highWaterMark: 64 * 1024, // 64KB buffer
       });
 
       return new NextResponse(fileStream as any, {
         headers: {
           ...commonHeaders,
-          'Content-Length': String(stat.size)
+          'Content-Length': String(stat.size),
         },
       });
     }
@@ -103,4 +104,4 @@ export async function GET(request: NextRequest, { params }: { params: { filePath
     console.error('Error serving file:', error);
     return new NextResponse('Internal Server Error', { status: 500 });
   }
-}
+}

ui/src/app/api/gpu/route.ts

@@ -10,7 +10,7 @@ export async function GET() {
     // Get platform
     const platform = os.platform();
     const isWindows = platform === 'win32';
-    
+
     // Check if nvidia-smi is available
     const hasNvidiaSmi = await checkNvidiaSmi(isWindows);
 
@@ -61,8 +61,9 @@ async function checkNvidiaSmi(isWindows: boolean): Promise<boolean> {
 
 async function getGpuStats(isWindows: boolean) {
   // Command is the same for both platforms, but the path might be different
-  const command = 'nvidia-smi --query-gpu=index,name,driver_version,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used,power.draw,power.limit,clocks.current.graphics,clocks.current.memory,fan.speed --format=csv,noheader,nounits';
+  const command =
-  
+    'nvidia-smi --query-gpu=index,name,driver_version,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used,power.draw,power.limit,clocks.current.graphics,clocks.current.memory,fan.speed --format=csv,noheader,nounits';
+
   // Execute command
   const { stdout } = await execAsync(command);
 
@@ -117,4 +118,4 @@ async function getGpuStats(isWindows: boolean) {
     });
 
   return gpus;
-}
+}

ui/src/app/api/img/caption/route.ts

@@ -17,7 +17,6 @@ export async function POST(request: Request) {
       return NextResponse.json({ error: 'Image does not exist' }, { status: 404 });
     }
 
-
     // check for caption
     const captionPath = imgPath.replace(/\.[^/.]+$/, '') + '.txt';
     // save caption to file

ui/src/app/api/jobs/[jobID]/start/route.ts

@@ -103,7 +103,7 @@ export async function GET(request: NextRequest, { params }: { params: { jobID: s
       cwd: TOOLKIT_ROOT,
       windowsHide: false,
     });
-    
+
     subprocess.unref();
   } else {
     // For non-Windows platforms, use your original approach
@@ -116,7 +116,7 @@ export async function GET(request: NextRequest, { params }: { params: { jobID: s
       },
       cwd: TOOLKIT_ROOT,
     });
-    
+
     subprocess.unref();
   }
   // const subprocess = spawn(pythonPath, [runFilePath, configPath], {

ui/src/app/api/jobs/route.ts

@@ -6,7 +6,6 @@ const prisma = new PrismaClient();
 export async function GET(request: Request) {
   const { searchParams } = new URL(request.url);
   const id = searchParams.get('id');
-  console.log('ID:', id);
 
   try {
     if (id) {
@@ -19,7 +18,6 @@ export async function GET(request: Request) {
     const jobs = await prisma.job.findMany({
       orderBy: { created_at: 'desc' },
     });
-    console.log('Jobs:', jobs);
     return NextResponse.json({ jobs: jobs });
   } catch (error) {
     console.error(error);

ui/src/app/api/settings/route.ts

@@ -1,7 +1,7 @@
 import { NextResponse } from 'next/server';
 import { PrismaClient } from '@prisma/client';
 import { defaultTrainFolder, defaultDatasetsFolder } from '@/paths';
-import {flushCache} from '@/server/settings';
+import { flushCache } from '@/server/settings';
 
 const prisma = new PrismaClient();
 

ui/src/app/datasets/[datasetName]/page.tsx

@@ -6,6 +6,7 @@ import DatasetImageCard from '@/components/DatasetImageCard';
 import { Button } from '@headlessui/react';
 import AddImagesModal, { openImagesModal } from '@/components/AddImagesModal';
 import { TopBar, MainContent } from '@/components/layout';
+import { apiClient } from '@/utils/api';
 
 export default function DatasetPage({ params }: { params: { datasetName: string } }) {
   const [imgList, setImgList] = useState<{ img_path: string }[]>([]);
@@ -15,15 +16,11 @@ export default function DatasetPage({ params }: { params: { datasetName: string
 
   const refreshImageList = (dbName: string) => {
     setStatus('loading');
-    fetch('/api/datasets/listImages', {
+    console.log('Fetching images for dataset:', dbName);
-      method: 'POST',
+    apiClient
-      headers: {
+      .post('/api/datasets/listImages', { datasetName: dbName })
-        'Content-Type': 'application/json',
+      .then((res: any) => {
-      },
+        const data = res.data;
-      body: JSON.stringify({ datasetName: dbName }),
-    })
-      .then(res => res.json())
-      .then(data => {
         console.log('Images:', data.images);
         // sort
         data.images.sort((a: { img_path: string }, b: { img_path: string }) => a.img_path.localeCompare(b.img_path));

ui/src/app/datasets/page.tsx

@@ -10,6 +10,7 @@ import { FaRegTrashAlt } from 'react-icons/fa';
 import { openConfirm } from '@/components/ConfirmModal';
 import { TopBar, MainContent } from '@/components/layout';
 import UniversalTable, { TableColumn } from '@/components/UniversalTable';
+import { apiClient } from '@/utils/api';
 
 export default function Datasets() {
   const { datasets, status, refreshDatasets } = useDatasetList();
@@ -54,16 +55,10 @@ export default function Datasets() {
       type: 'warning',
       confirmText: 'Delete',
       onConfirm: () => {
-        fetch('/api/datasets/delete', {
+        apiClient
-          method: 'POST',
+          .post('/api/datasets/delete', { name: datasetName })
-          headers: {
+          .then(() => {
-            'Content-Type': 'application/json',
+            console.log('Dataset deleted:', datasetName);
-          },
-          body: JSON.stringify({ name: datasetName }),
-        })
-          .then(res => res.json())
-          .then(data => {
-            console.log('Dataset deleted:', data);
             refreshDatasets();
           })
           .catch(error => {
@@ -76,14 +71,7 @@ export default function Datasets() {
   const handleCreateDataset = async (e: React.FormEvent) => {
     e.preventDefault();
     try {
-      const response = await fetch('/api/datasets/create', {
+      const data = await apiClient.post('/api/datasets/create', { name: newDatasetName }).then(res => res.data);
-        method: 'POST',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-        body: JSON.stringify({ name: newDatasetName }),
-      });
-      const data = await response.json();
       console.log('New dataset created:', data);
       refreshDatasets();
       setNewDatasetName('');

ui/src/app/jobs/new/AdvancedJob.tsx

@@ -33,11 +33,7 @@ const yamlConfig: YAML.DocumentOptions &
   directives: true,
 };
 
-export default function AdvancedJob({
+export default function AdvancedJob({ jobConfig, setJobConfig, settings }: Props) {
-  jobConfig,
-  setJobConfig,
-  settings,
-}: Props) {
   const [editorValue, setEditorValue] = useState<string>('');
   const lastJobConfigUpdateStringRef = useRef('');
   const editorRef = useRef<editor.IStandaloneCodeEditor | null>(null);

ui/src/app/jobs/new/jobConfig.ts

@@ -30,7 +30,7 @@ export const defaultJobConfig: JobConfig = {
           linear: 32,
           linear_alpha: 32,
           lokr_full_rank: true,
-          lokr_factor: -1
+          lokr_factor: -1,
         },
         save: {
           dtype: 'bf16',
@@ -39,9 +39,7 @@ export const defaultJobConfig: JobConfig = {
           save_format: 'diffusers',
           push_to_hub: false,
         },
-        datasets: [
+        datasets: [defaultDatasetConfig],
-          defaultDatasetConfig
-        ],
         train: {
           batch_size: 1,
           bypass_guidance_embedding: true,
@@ -55,7 +53,7 @@ export const defaultJobConfig: JobConfig = {
           timestep_type: 'sigmoid',
           content_or_style: 'balanced',
           optimizer_params: {
-            weight_decay: 1e-4
+            weight_decay: 1e-4,
           },
           unload_text_encoder: false,
           lr: 0.0001,
@@ -66,8 +64,7 @@ export const defaultJobConfig: JobConfig = {
           dtype: 'bf16',
           diff_output_preservation: false,
           diff_output_preservation_multiplier: 1.0,
-          diff_output_preservation_class: 'person'
+          diff_output_preservation_class: 'person',
-
         },
         model: {
           name_or_path: 'ostris/Flex.1-alpha',

ui/src/app/jobs/new/options.ts

@@ -12,7 +12,7 @@ export const modelArchs = [
   { name: 'flux', label: 'Flux.1' },
   { name: 'wan21', label: 'Wan 2.1' },
   { name: 'lumina2', label: 'Lumina2' },
-]
+];
 
 export const isVideoModelFromArch = (arch: string) => {
   const videoArches = ['wan21'];

ui/src/app/jobs/new/page.tsx

@@ -19,6 +19,7 @@ import { Button } from '@headlessui/react';
 import { FaChevronLeft } from 'react-icons/fa';
 import SimpleJob from './SimpleJob';
 import AdvancedJob from './AdvancedJob';
+import { apiClient } from '@/utils/api';
 
 const isDev = process.env.NODE_ENV === 'development';
 
@@ -56,12 +57,13 @@ export default function TrainingForm() {
 
   useEffect(() => {
     if (runId) {
-      fetch(`/api/jobs?id=${runId}`)
+      apiClient
-        .then(res => res.json())
+        .get(`/api/jobs?id=${runId}`)
+        .then(res => res.data)
         .then(data => {
+          console.log('Training:', data);
           setGpuIDs(data.gpu_ids);
           setJobConfig(JSON.parse(data.job_config));
-          // setJobConfig(data.name, 'config.name');
         })
         .catch(error => console.error('Error fetching training:', error));
     }
@@ -85,33 +87,30 @@ export default function TrainingForm() {
     if (status === 'saving') return;
     setStatus('saving');
 
-    try {
+    apiClient
-      const response = await fetch('/api/jobs', {
+      .post('/api/jobs', {
-        method: 'POST',
+        id: runId,
-        headers: {
+        name: jobConfig.config.name,
-          'Content-Type': 'application/json',
+        gpu_ids: gpuIDs,
-        },
+        job_config: jobConfig,
-        body: JSON.stringify({
+      })
-          id: runId,
+      .then(res => {
-          name: jobConfig.config.name,
+        setStatus('success');
-          gpu_ids: gpuIDs,
+        if (runId) {
-          job_config: jobConfig,
+          router.push(`/jobs/${runId}`);
-        }),
+        } else {
-      });
+          router.push(`/jobs/${res.data.id}`);
-
+        }
-      if (!response.ok) throw new Error('Failed to save training');
+      })
-
+      .catch(error => {
-      setStatus('success');
+        console.error('Error saving training:', error);
-      if (!runId) {
+        setStatus('error');
-        const data = await response.json();
+      })
-        router.push(`/jobs/${data.id}`);
+      .finally(() =>
-      }
+        setTimeout(() => {
-      setTimeout(() => setStatus('idle'), 2000);
+          setStatus('idle');
-    } catch (error) {
+        }, 2000),
-      console.error('Error saving training:', error);
+      );
-      setStatus('error');
-      setTimeout(() => setStatus('idle'), 2000);
-    }
   };
 
   const handleSubmit = async (e: React.FormEvent) => {

ui/src/app/jobs/page.tsx

@@ -13,10 +13,7 @@ export default function Dashboard() {
         </div>
         <div className="flex-1"></div>
         <div>
-          <Link
+          <Link href="/jobs/new" className="text-gray-200 bg-slate-600 px-3 py-1 rounded-md">
-            href="/jobs/new"
-            className="text-gray-200 bg-slate-600 px-3 py-1 rounded-md"
-          >
             New Training Job
           </Link>
         </div>

ui/src/app/layout.tsx

@@ -6,6 +6,7 @@ import { ThemeProvider } from '@/components/ThemeProvider';
 import ConfirmModal from '@/components/ConfirmModal';
 import SampleImageModal from '@/components/SampleImageModal';
 import { Suspense } from 'react';
+import AuthWrapper from '@/components/AuthWrapper';
 
 const inter = Inter({ subsets: ['latin'] });
 
@@ -15,6 +16,9 @@ export const metadata: Metadata = {
 };
 
 export default function RootLayout({ children }: { children: React.ReactNode }) {
+  // Check if the AI_TOOLKIT_AUTH environment variable is set
+  const authRequired = process.env.AI_TOOLKIT_AUTH ? true : false;
+
   return (
     <html lang="en" className="dark">
       <head>
@@ -22,13 +26,14 @@ export default function RootLayout({ children }: { children: React.ReactNode })
       </head>
       <body className={inter.className}>
         <ThemeProvider>
-          <div className="flex h-screen bg-gray-950">
+          <AuthWrapper authRequired={authRequired}>
-            <Sidebar />
+            <div className="flex h-screen bg-gray-950">
-
+              <Sidebar />
-            <main className="flex-1 overflow-auto bg-gray-950 text-gray-100 relative">
+              <main className="flex-1 overflow-auto bg-gray-950 text-gray-100 relative">
-              <Suspense>{children}</Suspense>
+                <Suspense>{children}</Suspense>
-            </main>
+              </main>
-          </div>
+            </div>
+          </AuthWrapper>
         </ThemeProvider>
         <ConfirmModal />
         <SampleImageModal />

ui/src/app/page.tsx

@@ -2,4 +2,4 @@ import { redirect } from 'next/navigation';
 
 export default function Home() {
   redirect('/dashboard');
-}
+}

ui/src/app/settings/page.tsx

@@ -3,6 +3,7 @@
 import { useEffect, useState } from 'react';
 import useSettings from '@/hooks/useSettings';
 import { TopBar, MainContent } from '@/components/layout';
+import { apiClient } from '@/utils/api';
 
 export default function Settings() {
   const { settings, setSettings } = useSettings();
@@ -12,24 +13,18 @@ export default function Settings() {
     e.preventDefault();
     setStatus('saving');
 
-    try {
+    apiClient
-      const response = await fetch('/api/settings', {
+      .post('/api/settings', settings)
-        method: 'POST',
+      .then(() => {
-        headers: {
+        setStatus('success');
-          'Content-Type': 'application/json',
+      })
-        },
+      .catch(error => {
-        body: JSON.stringify(settings),
+        console.error('Error saving settings:', error);
+        setStatus('error');
+      })
+      .finally(() => {
+        setTimeout(() => setStatus('idle'), 2000);
       });
-
-      if (!response.ok) throw new Error('Failed to save settings');
-
-      setStatus('success');
-      setTimeout(() => setStatus('idle'), 2000);
-    } catch (error) {
-      console.error('Error saving settings:', error);
-      setStatus('error');
-      setTimeout(() => setStatus('idle'), 2000);
-    }
   };
 
   const handleChange = (e: React.ChangeEvent<HTMLInputElement>) => {

ui/src/components/AddImagesModal.tsx

@@ -4,7 +4,7 @@ import { Dialog, DialogBackdrop, DialogPanel, DialogTitle } from '@headlessui/re
 import { FaUpload } from 'react-icons/fa';
 import { useCallback, useState } from 'react';
 import { useDropzone } from 'react-dropzone';
-import axios from 'axios';
+import { apiClient } from '@/utils/api';
 
 export interface AddImagesModalState {
   datasetName: string;
@@ -15,7 +15,7 @@ export const addImagesModalState = createGlobalState<AddImagesModalState | null>
 
 export const openImagesModal = (datasetName: string, onComplete: () => void) => {
   addImagesModalState.set({ datasetName, onComplete });
-}
+};
 
 export default function AddImagesModal() {
   const [addImagesModalInfo, setAddImagesModalInfo] = addImagesModalState.use();
@@ -36,46 +36,49 @@ export default function AddImagesModal() {
     }
   };
 
-  const onDrop = useCallback(async (acceptedFiles: File[]) => {
+  const onDrop = useCallback(
-    if (acceptedFiles.length === 0) return;
+    async (acceptedFiles: File[]) => {
+      if (acceptedFiles.length === 0) return;
 
-    setIsUploading(true);
+      setIsUploading(true);
-    setUploadProgress(0);
-
-    const formData = new FormData();
-    acceptedFiles.forEach(file => {
-      formData.append('files', file);
-    });
-    formData.append('datasetName', addImagesModalInfo?.datasetName || '');
-
-    try {
-      await axios.post(`/api/datasets/upload`, formData, {
-        headers: {
-          'Content-Type': 'multipart/form-data',
-        },
-        onUploadProgress: (progressEvent) => {
-          const percentCompleted = Math.round((progressEvent.loaded * 100) / (progressEvent.total || 100));
-          setUploadProgress(percentCompleted);
-        },
-        timeout: 0, // Disable timeout
-      });
-
-      onDone();
-    } catch (error) {
-      console.error('Upload failed:', error);
-    } finally {
-      setIsUploading(false);
       setUploadProgress(0);
-    }
+
-  }, [addImagesModalInfo]);
+      const formData = new FormData();
+      acceptedFiles.forEach(file => {
+        formData.append('files', file);
+      });
+      formData.append('datasetName', addImagesModalInfo?.datasetName || '');
+
+      try {
+        await apiClient.post(`/api/datasets/upload`, formData, {
+          headers: {
+            'Content-Type': 'multipart/form-data',
+          },
+          onUploadProgress: progressEvent => {
+            const percentCompleted = Math.round((progressEvent.loaded * 100) / (progressEvent.total || 100));
+            setUploadProgress(percentCompleted);
+          },
+          timeout: 0, // Disable timeout
+        });
+
+        onDone();
+      } catch (error) {
+        console.error('Upload failed:', error);
+      } finally {
+        setIsUploading(false);
+        setUploadProgress(0);
+      }
+    },
+    [addImagesModalInfo],
+  );
 
   const { getRootProps, getInputProps, isDragActive } = useDropzone({
     onDrop,
     accept: {
       'image/*': ['.png', '.jpg', '.jpeg', '.gif', '.bmp'],
-      'text/*': ['.txt']
+      'text/*': ['.txt'],
     },
-    multiple: true
+    multiple: true,
   });
 
   return (
@@ -105,22 +108,15 @@ export default function AddImagesModal() {
                     <input {...getInputProps()} />
                     <FaUpload className="size-8 mb-3 text-gray-400" />
                     <p className="text-sm text-gray-200 text-center">
-                      {isDragActive
+                      {isDragActive ? 'Drop the files here...' : 'Drag & drop files here, or click to select files'}
-                        ? 'Drop the files here...'
-                        : 'Drag & drop files here, or click to select files'}
                     </p>
                   </div>
                   {isUploading && (
                     <div className="mt-4">
                       <div className="w-full bg-gray-700 rounded-full h-2.5">
-                        <div
+                        <div className="bg-blue-600 h-2.5 rounded-full" style={{ width: `${uploadProgress}%` }}></div>
-                          className="bg-blue-600 h-2.5 rounded-full"
-                          style={{ width: `${uploadProgress}%` }}
-                        ></div>
                       </div>
-                      <p className="text-sm text-gray-300 mt-2 text-center">
+                      <p className="text-sm text-gray-300 mt-2 text-center">Uploading... {uploadProgress}%</p>
-                        Uploading... {uploadProgress}%
-                      </p>
                     </div>
                   )}
                 </div>
@@ -152,4 +148,4 @@ export default function AddImagesModal() {
       </div>
     </Dialog>
   );
-}
+}

ui/src/components/AuthWrapper.tsx

@@ -0,0 +1,163 @@
+'use client';
+
+import { useState, useEffect, useRef } from 'react';
+import { apiClient, isAuthorizedState } from '@/utils/api';
+import { createGlobalState } from 'react-global-hooks';
+
+interface AuthWrapperProps {
+  authRequired: boolean;
+  children: React.ReactNode | React.ReactNode[];
+}
+
+export default function AuthWrapper({ authRequired, children }: AuthWrapperProps) {
+  const [token, setToken] = useState('');
+  // start with true, and deauth if needed
+  const [isAuthorizedGlobal, setIsAuthorized] = isAuthorizedState.use();
+  const [isLoading, setIsLoading] = useState(false);
+  const [error, setError] = useState('');
+  const [isBrowser, setIsBrowser] = useState(false);
+  const inputRef = useRef<HTMLInputElement>(null);
+
+  const isAuthorized = authRequired ? isAuthorizedGlobal : true;
+
+  // Set isBrowser to true when component mounts
+  useEffect(() => {
+    setIsBrowser(true);
+    // Get token from localStorage only after component has mounted
+    const storedToken = localStorage.getItem('AI_TOOLKIT_AUTH') || '';
+    setToken(storedToken);
+    checkAuth();
+  }, []);
+
+  // auto focus on input when not authorized
+  useEffect(() => {
+    if (isAuthorized) {
+      return;
+    }
+    setTimeout(() => {
+      if (inputRef.current) {
+        inputRef.current.focus();
+      }
+    }, 100);
+  }, [isAuthorized]);
+
+  const checkAuth = async () => {
+    // always get current stored token here to avoid state race conditions
+    const currentToken = localStorage.getItem('AI_TOOLKIT_AUTH') || '';
+    if (!authRequired || isLoading || currentToken === '') {
+      return;
+    }
+    setIsLoading(true);
+    setError('');
+    try {
+      const response = await apiClient.get('/api/auth');
+      if (response.data.isAuthenticated) {
+        setIsAuthorized(true);
+      } else {
+        setIsAuthorized(false);
+        setError('Invalid token. Please try again.');
+      }
+    } catch (err) {
+      setIsAuthorized(false);
+      console.log(err);
+      setError('Invalid token. Please try again.');
+    }
+    setIsLoading(false);
+  };
+
+  const handleSubmit = async (e: React.FormEvent) => {
+    e.preventDefault();
+    setError('');
+
+    if (!token.trim()) {
+      setError('Please enter your token');
+      return;
+    }
+
+    if (isBrowser) {
+      localStorage.setItem('AI_TOOLKIT_AUTH', token);
+      checkAuth();
+    }
+  };
+
+  if (isAuthorized) {
+    return <>{children}</>;
+  }
+
+  return (
+    <div className="flex min-h-screen bg-gray-900 text-gray-100 absolute top-0 left-0 right-0 bottom-0 scroll-auto">
+      {/* Left side - decorative or brand area */}
+      <div className="hidden lg:flex lg:w-1/2 bg-gray-800 flex-col justify-center items-center p-12">
+        <div className="mb-4">
+          {/* Replace with your own logo */}
+          <div className="flex items-center justify-center">
+            <img src="/ostris_logo.png" alt="Ostris AI Toolkit" className="w-auto h-24 inline" />
+          </div>
+        </div>
+        <h1 className="text-4xl mb-6">AI Toolkit</h1>
+      </div>
+
+      {/* Right side - login form */}
+      <div className="w-full lg:w-1/2 flex flex-col justify-center items-center p-8 sm:p-12">
+        <div className="w-full max-w-md">
+          <div className="lg:hidden flex justify-center mb-4">
+            {/* Mobile logo */}
+            <div className="flex items-center justify-center">
+              <img src="/ostris_logo.png" alt="Ostris AI Toolkit" className="w-auto h-24 inline" />
+            </div>
+          </div>
+
+          <h2 className="text-3xl text-center mb-2 lg:hidden">AI Toolkit</h2>
+
+          <form onSubmit={handleSubmit} className="space-y-6">
+            <div>
+              <label htmlFor="token" className="block text-sm font-medium text-gray-400 mb-2">
+                Access Token
+              </label>
+              <input
+                id="token"
+                name="token"
+                type="password"
+                autoComplete="off"
+                required
+                value={token}
+                ref={inputRef}
+                onChange={e => setToken(e.target.value)}
+                className="w-full px-4 py-3 rounded-lg bg-gray-800 border border-gray-700 focus:border-blue-500 focus:ring-2 focus:ring-blue-500 focus:ring-opacity-50 text-gray-100 transition duration-200"
+                placeholder="Enter your token"
+              />
+            </div>
+
+            {error && (
+              <div className="p-3 bg-red-900/50 border border-red-800 rounded-lg text-red-200 text-sm">{error}</div>
+            )}
+
+            <button
+              type="submit"
+              disabled={isLoading}
+              className="w-full py-3 px-4 bg-blue-600 hover:bg-blue-700 rounded-lg text-white font-medium focus:outline-none focus:ring-2 focus:ring-blue-500 focus:ring-opacity-50 transition duration-200 flex items-center justify-center"
+            >
+              {isLoading ? (
+                <svg
+                  className="animate-spin h-5 w-5 text-white"
+                  xmlns="http://www.w3.org/2000/svg"
+                  fill="none"
+                  viewBox="0 0 24 24"
+                >
+                  <circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
+                  <path
+                    className="opacity-75"
+                    fill="currentColor"
+                    d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"
+                  ></path>
+                </svg>
+              ) : (
+                'Check Token'
+              )}
+            </button>
+          </form>
+        </div>
+      </div>
+    </div>
+  );
+}

ui/src/components/Card.tsx

@@ -12,4 +12,4 @@ const Card: React.FC<CardProps> = ({ title, children }) => {
   );
 };
 
-export default Card;
+export default Card;

ui/src/components/DatasetImageCard.tsx

@@ -2,6 +2,7 @@ import React, { useRef, useEffect, useState, ReactNode, KeyboardEvent } from 're
 import { FaTrashAlt } from 'react-icons/fa';
 import { openConfirm } from './ConfirmModal';
 import classNames from 'classnames';
+import { apiClient } from '@/utils/api';
 
 interface DatasetImageCardProps {
   imageUrl: string;
@@ -27,30 +28,32 @@ const DatasetImageCard: React.FC<DatasetImageCardProps> = ({
   const isGettingCaption = useRef<boolean>(false);
 
   const fetchCaption = async () => {
-    try {
+    if (isGettingCaption.current || isCaptionLoaded) return;
-      if (isGettingCaption.current || isCaptionLoaded) return;
+    isGettingCaption.current = true;
-      isGettingCaption.current = true;
+    apiClient
-      const response = await fetch(`/api/caption/${encodeURIComponent(imageUrl)}`);
+      .get(`/api/caption/${encodeURIComponent(imageUrl)}`)
-      const data = await response.text();
+      .then(res => res.data)
-      setCaption(data);
+      .then(data => {
-      setSavedCaption(data);
+        console.log('Caption fetched:', data);
-      setIsCaptionLoaded(true);
+
-    } catch (error) {
+        setCaption(data || '');
-      console.error('Error fetching caption:', error);
+        setSavedCaption(data || '');
-    }
+        setIsCaptionLoaded(true);
+      })
+      .catch(error => {
+        console.error('Error fetching caption:', error);
+      })
+      .finally(() => {
+        isGettingCaption.current = false;
+      });
   };
 
   const saveCaption = () => {
     const trimmedCaption = caption.trim();
     if (trimmedCaption === savedCaption) return;
-    fetch('/api/img/caption', {
+    apiClient
-      method: 'POST',
+      .post('/api/img/caption', { imgPath: imageUrl, caption: trimmedCaption })
-      headers: {
+      .then(res => res.data)
-        'Content-Type': 'application/json',
-      },
-      body: JSON.stringify({ imgPath: imageUrl, caption: trimmedCaption }),
-    })
-      .then(res => res.json())
       .then(data => {
         console.log('Caption saved:', data);
         setSavedCaption(trimmedCaption);
@@ -129,16 +132,10 @@ const DatasetImageCard: React.FC<DatasetImageCardProps> = ({
                   type: 'warning',
                   confirmText: 'Delete',
                   onConfirm: () => {
-                    fetch('/api/img/delete', {
+                    apiClient
-                      method: 'POST',
+                      .post('/api/img/delete', { imgPath: imageUrl })
-                      headers: {
+                      .then(() => {
-                        'Content-Type': 'application/json',
+                        console.log('Image deleted:', imageUrl);
-                      },
-                      body: JSON.stringify({ imgPath: imageUrl }),
-                    })
-                      .then(res => res.json())
-                      .then(data => {
-                        console.log('Image deleted:', data);
                         onDelete();
                       })
                       .catch(error => {

ui/src/components/FilesWidget.tsx

@@ -24,9 +24,7 @@ export default function FilesWidget({ jobID }: { jobID: string }) {
         <div className="flex items-center space-x-2">
           <Brain className="w-5 h-5 text-purple-400" />
           <h2 className="font-semibold text-gray-100">Checkpoints</h2>
-          <span className="px-2 py-0.5 bg-gray-700 rounded-full text-xs text-gray-300">
+          <span className="px-2 py-0.5 bg-gray-700 rounded-full text-xs text-gray-300">{files.length}</span>
-            {files.length}
-          </span>
         </div>
       </div>
 
@@ -50,9 +48,9 @@ export default function FilesWidget({ jobID }: { jobID: string }) {
               const fileName = file.path.split('/').pop() || '';
               const nameWithoutExt = fileName.replace('.safetensors', '');
               return (
-                <a 
+                <a
                   key={index}
-                  target='_blank'
+                  target="_blank"
                   href={`/api/files/${encodeURIComponent(file.path)}`}
                   className="group flex items-center justify-between px-2 py-1.5 rounded-lg hover:bg-gray-800 transition-all duration-200"
                 >
@@ -80,11 +78,9 @@ export default function FilesWidget({ jobID }: { jobID: string }) {
         )}
 
         {['success', 'refreshing'].includes(status) && files.length === 0 && (
-          <div className="text-center py-4 text-gray-400 text-sm">
+          <div className="text-center py-4 text-gray-400 text-sm">No checkpoints available</div>
-            No checkpoints available
-          </div>
         )}
       </div>
     </div>
   );
-}
+}

ui/src/components/GPUMonitor.tsx

@@ -1,7 +1,8 @@
-import React, { useState, useEffect, useRef } from 'react';
+import React, { useState, useEffect, useRef, useMemo } from 'react';
 import { GPUApiResponse } from '@/types';
 import Loading from '@/components/Loading';
 import GPUWidget from '@/components/GPUWidget';
+import { apiClient } from '@/utils/api';
 
 const GpuMonitor: React.FC = () => {
   const [gpuData, setGpuData] = useState<GPUApiResponse | null>(null);
@@ -12,27 +13,26 @@ const GpuMonitor: React.FC = () => {
 
   useEffect(() => {
     const fetchGpuInfo = async () => {
-      try {
+      if (isFetchingGpuRef.current) {
-        if (isFetchingGpuRef.current) {
+        return;
-          return;
-        }
-        isFetchingGpuRef.current = true;
-        const response = await fetch('/api/gpu');
-
-        if (!response.ok) {
-          throw new Error(`HTTP error! Status: ${response.status}`);
-        }
-
-        const data: GPUApiResponse = await response.json();
-        setGpuData(data);
-        setLastUpdated(new Date());
-        setError(null);
-      } catch (err) {
-        setError(`Failed to fetch GPU data: ${err instanceof Error ? err.message : String(err)}`);
-      } finally {
-        isFetchingGpuRef.current = false;
-        setLoading(false);
       }
+      setLoading(true);
+      isFetchingGpuRef.current = true;
+      apiClient
+        .get('/api/gpu')
+        .then(res => res.data)
+        .then(data => {
+          setGpuData(data);
+          setLastUpdated(new Date());
+          setError(null);
+        })
+        .catch(err => {
+          setError(`Failed to fetch GPU data: ${err instanceof Error ? err.message : String(err)}`);
+        })
+        .finally(() => {
+          isFetchingGpuRef.current = false;
+          setLoading(false);
+        });
     };
 
     // Fetch immediately on component mount
@@ -69,46 +69,63 @@ const GpuMonitor: React.FC = () => {
     }
   };
 
-  if (loading) {
+  console.log('state', {
-    return <Loading />;
+    loading,
-  }
+    gpuData,
+    error,
+    lastUpdated,
+  });
+
+  const content = useMemo(() => {
+    if (loading && !gpuData) {
+      return <Loading />;
+    }
+
+    if (error) {
+      return (
+        <div className="bg-red-900 border border-red-600 text-red-200 px-4 py-3 rounded relative" role="alert">
+          <strong className="font-bold">Error!</strong>
+          <span className="block sm:inline"> {error}</span>
+        </div>
+      );
+    }
+
+    if (!gpuData) {
+      return (
+        <div className="bg-yellow-900 border border-yellow-700 text-yellow-300 px-4 py-3 rounded relative" role="alert">
+          <span className="block sm:inline">No GPU data available.</span>
+        </div>
+      );
+    }
+
+    if (!gpuData.hasNvidiaSmi) {
+      return (
+        <div className="bg-yellow-900 border border-yellow-700 text-yellow-300 px-4 py-3 rounded relative" role="alert">
+          <strong className="font-bold">No NVIDIA GPUs detected!</strong>
+          <span className="block sm:inline"> nvidia-smi is not available on this system.</span>
+          {gpuData.error && <p className="mt-2 text-sm">{gpuData.error}</p>}
+        </div>
+      );
+    }
+
+    if (gpuData.gpus.length === 0) {
+      return (
+        <div className="bg-yellow-900 border border-yellow-700 text-yellow-300 px-4 py-3 rounded relative" role="alert">
+          <span className="block sm:inline">No GPUs found, but nvidia-smi is available.</span>
+        </div>
+      );
+    }
+
+    const gridClass = getGridClasses(gpuData?.gpus?.length || 1);
 
-  if (error) {
     return (
-      <div className="bg-red-100 border border-red-400 text-red-700 px-4 py-3 rounded relative" role="alert">
+      <div className={`grid ${gridClass} gap-3`}>
-        <strong className="font-bold">Error!</strong>
+        {gpuData.gpus.map((gpu, idx) => (
-        <span className="block sm:inline"> {error}</span>
+          <GPUWidget key={idx} gpu={gpu} />
+        ))}
       </div>
     );
-  }
+  }, [loading, gpuData, error]);
-
-  if (!gpuData) {
-    return (
-      <div className="bg-yellow-100 border border-yellow-400 text-yellow-700 px-4 py-3 rounded relative" role="alert">
-        <span className="block sm:inline">No GPU data available.</span>
-      </div>
-    );
-  }
-
-  if (!gpuData.hasNvidiaSmi) {
-    return (
-      <div className="bg-yellow-100 border border-yellow-400 text-yellow-700 px-4 py-3 rounded relative" role="alert">
-        <strong className="font-bold">No NVIDIA GPUs detected!</strong>
-        <span className="block sm:inline"> nvidia-smi is not available on this system.</span>
-        {gpuData.error && <p className="mt-2 text-sm">{gpuData.error}</p>}
-      </div>
-    );
-  }
-
-  if (gpuData.gpus.length === 0) {
-    return (
-      <div className="bg-yellow-100 border border-yellow-400 text-yellow-700 px-4 py-3 rounded relative" role="alert">
-        <span className="block sm:inline">No GPUs found, but nvidia-smi is available.</span>
-      </div>
-    );
-  }
-
-  const gridClass = getGridClasses(gpuData.gpus.length);
 
   return (
     <div className="w-full">
@@ -116,12 +133,7 @@ const GpuMonitor: React.FC = () => {
         <h1 className="text-md">GPU Monitor</h1>
         <div className="text-xs text-gray-500">Last updated: {lastUpdated?.toLocaleTimeString()}</div>
       </div>
-
+      {content}
-      <div className={`grid ${gridClass} gap-3`}>
-        {gpuData.gpus.map((gpu, idx) => (
-          <GPUWidget key={idx} gpu={gpu} />
-        ))}
-      </div>
     </div>
   );
 };

ui/src/components/GPUWidget.tsx

@@ -24,9 +24,7 @@ export default function GPUWidget({ gpu }: GPUWidgetProps) {
       <div className="bg-gray-800 px-4 py-3 flex items-center justify-between">
         <div className="flex items-center space-x-2">
           <h2 className="font-semibold text-gray-100">{gpu.name}</h2>
-          <span className="px-2 py-0.5 bg-gray-700 rounded-full text-xs text-gray-300">
+          <span className="px-2 py-0.5 bg-gray-700 rounded-full text-xs text-gray-300">#{gpu.index}</span>
-            #{gpu.index}
-          </span>
         </div>
       </div>
 
@@ -38,18 +36,14 @@ export default function GPUWidget({ gpu }: GPUWidgetProps) {
               <Thermometer className={`w-4 h-4 ${getTemperatureColor(gpu.temperature)}`} />
               <div>
                 <p className="text-xs text-gray-400">Temperature</p>
-                <p className={`text-sm font-medium ${getTemperatureColor(gpu.temperature)}`}>
+                <p className={`text-sm font-medium ${getTemperatureColor(gpu.temperature)}`}>{gpu.temperature}°C</p>
-                  {gpu.temperature}°C
-                </p>
               </div>
             </div>
             <div className="flex items-center space-x-2">
               <Fan className="w-4 h-4 text-blue-400" />
               <div>
                 <p className="text-xs text-gray-400">Fan Speed</p>
-                <p className="text-sm font-medium text-blue-400">
+                <p className="text-sm font-medium text-blue-400">{gpu.fan.speed}%</p>
-                  {gpu.fan.speed}%
-                </p>
               </div>
             </div>
           </div>
@@ -99,7 +93,7 @@ export default function GPUWidget({ gpu }: GPUWidgetProps) {
               <p className="text-xs text-gray-400">Power Draw</p>
               <p className="text-sm text-gray-200">
                 {gpu.power.draw?.toFixed(1)}W
-                <span className="text-gray-400 text-xs"> / {gpu.power.limit?.toFixed(1) || " ? "}W</span>
+                <span className="text-gray-400 text-xs"> / {gpu.power.limit?.toFixed(1) || ' ? '}W</span>
               </p>
             </div>
           </div>
@@ -107,4 +101,4 @@ export default function GPUWidget({ gpu }: GPUWidgetProps) {
       </div>
     </div>
   );
-}
+}

ui/src/components/JobOverview.tsx

@@ -45,7 +45,9 @@ export default function JobOverview({ job }: JobOverviewProps) {
       {/* Job Information Panel */}
       <div className="col-span-2 bg-gray-900 rounded-xl shadow-lg overflow-hidden border border-gray-800">
         <div className="bg-gray-800 px-4 py-3 flex items-center justify-between">
-          <h2 className="text-gray-100"><Info className="w-5 h-5 mr-2 -mt-1 text-amber-400 inline-block" /> {job.info}</h2>
+          <h2 className="text-gray-100">
+            <Info className="w-5 h-5 mr-2 -mt-1 text-amber-400 inline-block" /> {job.info}
+          </h2>
           <span className={`px-3 py-1 rounded-full text-sm ${getStatusColor(job.status)}`}>{job.status}</span>
         </div>
 
@@ -85,7 +87,7 @@ export default function JobOverview({ job }: JobOverviewProps) {
               <Gauge className="w-5 h-5 text-green-400" />
               <div>
                 <p className="text-xs text-gray-400">Speed</p>
-                <p className="text-sm font-medium text-gray-200">{job.speed_string == "" ? "?" : job.speed_string}</p>
+                <p className="text-sm font-medium text-gray-200">{job.speed_string == '' ? '?' : job.speed_string}</p>
               </div>
             </div>
           </div>

ui/src/components/Loading.tsx

@@ -1,6 +1,6 @@
 export default function Loading() {
   return (
-    <div className="flex justify-center items-center h-64">
+    <div className="flex justify-center items-center h-42">
       <div className="animate-spin rounded-full h-12 w-12 border-t-2 border-b-2 border-blue-500"></div>
     </div>
   );

ui/src/components/SampleImageCard.tsx

@@ -11,7 +11,14 @@ interface SampleImageCardProps {
   onDelete?: () => void;
 }
 
-const SampleImageCard: React.FC<SampleImageCardProps> = ({ imageUrl, alt, numSamples, sampleImages, children, className = '' }) => {
+const SampleImageCard: React.FC<SampleImageCardProps> = ({
+  imageUrl,
+  alt,
+  numSamples,
+  sampleImages,
+  children,
+  className = '',
+}) => {
   const cardRef = useRef<HTMLDivElement>(null);
   const [isVisible, setIsVisible] = useState<boolean>(false);
   const [loaded, setLoaded] = useState<boolean>(false);

ui/src/components/Sidebar.tsx

@@ -1,9 +1,10 @@
 import Link from 'next/link';
-import { Home, Settings, BrainCircuit, Images } from 'lucide-react';
+import { Home, Settings, BrainCircuit, Images, Plus } from 'lucide-react';
 
 const Sidebar = () => {
   const navigation = [
     { name: 'Dashboard', href: '/dashboard', icon: Home },
+    { name: 'New Job', href: '/jobs/new', icon: Plus },
     { name: 'Training Jobs', href: '/jobs', icon: BrainCircuit },
     { name: 'Datasets', href: '/datasets', icon: Images },
     { name: 'Settings', href: '/settings', icon: Settings },
@@ -33,7 +34,7 @@ const Sidebar = () => {
         </ul>
       </nav>
       <a href="https://patreon.com/ostris" target="_blank" rel="noreferrer" className="flex items-center space-x-2 p-4">
-      <div className='min-w-[26px] min-h-[26px]'>
+        <div className="min-w-[26px] min-h-[26px]">
           <svg
             viewBox="0 0 512 512"
             xmlns="http://www.w3.org/2000/svg"

ui/src/components/formInputs.tsx

@@ -49,7 +49,7 @@ export interface NumberInputProps extends InputProps {
 
 export const NumberInput = (props: NumberInputProps) => {
   const { label, value, onChange, placeholder, required, min, max } = props;
-  
+
   // Add controlled internal state to properly handle partial inputs
   const [inputValue, setInputValue] = React.useState<string | number>(value ?? '');
 
@@ -66,7 +66,7 @@ export const NumberInput = (props: NumberInputProps) => {
         value={inputValue}
         onChange={e => {
           const rawValue = e.target.value;
-          
+
           // Update the input display with the raw value
           setInputValue(rawValue);
 
@@ -81,7 +81,7 @@ export const NumberInput = (props: NumberInputProps) => {
           // Only apply constraints and call onChange when we have a valid number
           if (!isNaN(numValue)) {
             let constrainedValue = numValue;
-            
+
             // Apply min/max constraints if they exist
             if (min !== undefined && constrainedValue < min) {
               constrainedValue = min;
@@ -89,7 +89,7 @@ export const NumberInput = (props: NumberInputProps) => {
             if (max !== undefined && constrainedValue > max) {
               constrainedValue = max;
             }
-            
+
             onChange(constrainedValue);
           }
         }}
@@ -152,14 +152,14 @@ export const Checkbox = (props: CheckboxProps) => {
         className={classNames(
           'relative inline-flex h-6 w-11 flex-shrink-0 cursor-pointer rounded-full border-2 border-transparent transition-colors duration-200 ease-in-out focus:outline-none focus:ring-2 focus:ring-blue-600 focus:ring-offset-2',
           checked ? 'bg-blue-600' : 'bg-gray-700',
-          disabled ? 'opacity-50 cursor-not-allowed' : 'hover:bg-opacity-80'
+          disabled ? 'opacity-50 cursor-not-allowed' : 'hover:bg-opacity-80',
         )}
       >
         <span className="sr-only">Toggle {label}</span>
         <span
           className={classNames(
             'pointer-events-none inline-block h-5 w-5 transform rounded-full bg-white shadow ring-0 transition duration-200 ease-in-out',
-            checked ? 'translate-x-5' : 'translate-x-0'
+            checked ? 'translate-x-5' : 'translate-x-0',
           )}
         />
       </button>
@@ -168,7 +168,7 @@ export const Checkbox = (props: CheckboxProps) => {
           htmlFor={id}
           className={classNames(
             'text-sm font-medium cursor-pointer select-none',
-            disabled ? 'text-gray-500' : 'text-gray-300'
+            disabled ? 'text-gray-500' : 'text-gray-300',
           )}
         >
           {label}

ui/src/hooks/useDatasetList.tsx

@@ -1,6 +1,7 @@
 'use client';
 
 import { useEffect, useState } from 'react';
+import { apiClient } from '@/utils/api';
 
 export default function useDatasetList() {
   const [datasets, setDatasets] = useState<string[]>([]);
@@ -8,8 +9,9 @@ export default function useDatasetList() {
 
   const refreshDatasets = () => {
     setStatus('loading');
-    fetch('/api/datasets/list')
+    apiClient
-      .then(res => res.json())
+      .get('/api/datasets/list')
+      .then(res => res.data)
       .then(data => {
         console.log('Datasets:', data);
         // sort

ui/src/hooks/useFilesList.tsx

@@ -1,6 +1,7 @@
 'use client';
 
 import { useEffect, useState, useRef } from 'react';
+import { apiClient } from '@/utils/api';
 
 interface FileObject {
   path: string;
@@ -18,8 +19,9 @@ export default function useFilesList(jobID: string, reloadInterval: null | numbe
       loadStatus = 'refreshing';
     }
     setStatus(loadStatus);
-    fetch(`/api/jobs/${jobID}/files`)
+    apiClient
-      .then(res => res.json())
+      .get(`/api/jobs/${jobID}/files`)
+      .then(res => res.data)
       .then(data => {
         console.log('Fetched files:', data);
         if (data.files) {

ui/src/hooks/useGPUInfo.tsx

@@ -2,6 +2,7 @@
 
 import { GPUApiResponse, GpuInfo } from '@/types';
 import { useEffect, useState } from 'react';
+import { apiClient } from '@/utils/api';
 
 export default function useGPUInfo(gpuIds: null | number[] = null, reloadInterval: null | number = null) {
   const [gpuList, setGpuList] = useState<GpuInfo[]>([]);
@@ -11,18 +12,11 @@ export default function useGPUInfo(gpuIds: null | number[] = null, reloadInterva
   const fetchGpuInfo = async () => {
     setStatus('loading');
     try {
-      const response = await fetch('/api/gpu');
+      const data: GPUApiResponse = await apiClient.get('/api/gpu').then(res => res.data);
-
-      if (!response.ok) {
-        throw new Error(`HTTP error! Status: ${response.status}`);
-      }
-
-      const data: GPUApiResponse = await response.json();
       let gpus = data.gpus.sort((a, b) => a.index - b.index);
       if (gpuIds) {
         gpus = gpus.filter(gpu => gpuIds.includes(gpu.index));
       }
-
       setGpuList(gpus);
       setStatus('success');
     } catch (err) {
@@ -51,4 +45,4 @@ export default function useGPUInfo(gpuIds: null | number[] = null, reloadInterva
   }, [gpuIds, reloadInterval]); // Added dependencies
 
   return { gpuList, setGpuList, isGPUInfoLoaded, status, refreshGpuInfo: fetchGpuInfo };
-}
+}

ui/src/hooks/useJob.tsx

@@ -2,6 +2,7 @@
 
 import { useEffect, useState } from 'react';
 import { Job } from '@prisma/client';
+import { apiClient } from '@/utils/api';
 
 export default function useJob(jobID: string, reloadInterval: null | number = null) {
   const [job, setJob] = useState<Job | null>(null);
@@ -9,8 +10,9 @@ export default function useJob(jobID: string, reloadInterval: null | number = nu
 
   const refreshJob = () => {
     setStatus('loading');
-    fetch(`/api/jobs?id=${jobID}`)
+    apiClient
-      .then(res => res.json())
+      .get(`/api/jobs?id=${jobID}`)
+      .then(res => res.data)
       .then(data => {
         console.log('Job:', data);
         setJob(data);
@@ -32,7 +34,7 @@ export default function useJob(jobID: string, reloadInterval: null | number = nu
 
       return () => {
         clearInterval(interval);
-      }
+      };
     }
   }, [jobID]);
 

ui/src/hooks/useJobsList.tsx

@@ -2,6 +2,7 @@
 
 import { useEffect, useState } from 'react';
 import { Job } from '@prisma/client';
+import { apiClient } from '@/utils/api';
 
 export default function useJobsList(onlyActive = false) {
   const [jobs, setJobs] = useState<Job[]>([]);
@@ -9,8 +10,9 @@ export default function useJobsList(onlyActive = false) {
 
   const refreshJobs = () => {
     setStatus('loading');
-    fetch('/api/jobs')
+    apiClient
-      .then(res => res.json())
+      .get('/api/jobs')
+      .then(res => res.data)
       .then(data => {
         console.log('Jobs:', data);
         if (data.error) {

ui/src/hooks/useSampleImages.tsx

@@ -1,6 +1,7 @@
 'use client';
 
 import { useEffect, useState } from 'react';
+import { apiClient } from '@/utils/api';
 
 export default function useSampleImages(jobID: string, reloadInterval: null | number = null) {
   const [sampleImages, setSampleImages] = useState<string[]>([]);
@@ -8,9 +9,11 @@ export default function useSampleImages(jobID: string, reloadInterval: null | nu
 
   const refreshSampleImages = () => {
     setStatus('loading');
-    fetch(`/api/jobs/${jobID}/samples`)
+    apiClient
-      .then(res => res.json())
+      .get(`/api/jobs/${jobID}/samples`)
+      .then(res => res.data)
       .then(data => {
+        console.log('Fetched sample images:', data);
         if (data.samples) {
           setSampleImages(data.samples);
         }

ui/src/hooks/useSettings.tsx

@@ -1,6 +1,7 @@
 'use client';
 
 import { useEffect, useState } from 'react';
+import { apiClient } from '@/utils/api';
 
 export interface Settings {
   HF_TOKEN: string;
@@ -16,10 +17,11 @@ export default function useSettings() {
   });
   const [isSettingsLoaded, setIsLoaded] = useState(false);
   useEffect(() => {
-    // Fetch current settings
+    apiClient
-    fetch('/api/settings')
+      .get('/api/settings')
-      .then(res => res.json())
+      .then(res => res.data)
       .then(data => {
+        console.log('Settings:', data);
         setSettings({
           HF_TOKEN: data.HF_TOKEN || '',
           TRAINING_FOLDER: data.TRAINING_FOLDER || '',

ui/src/middleware.ts

@@ -0,0 +1,49 @@
+// middleware.ts (at the root of your project)
+import { NextResponse } from 'next/server';
+import type { NextRequest } from 'next/server';
+
+// if route starts with these, approve
+const publicRoutes = ['/api/img/', '/api/files/'];
+
+export function middleware(request: NextRequest) {
+  // check env var for AI_TOOLKIT_AUTH, if not set, approve all requests
+  // if it is set make sure bearer token matches
+  const tokenToUse = process.env.AI_TOOLKIT_AUTH || null;
+  if (!tokenToUse) {
+    return NextResponse.next();
+  }
+
+  // Get the token from the headers
+  const token = request.headers.get('Authorization')?.split(' ')[1];
+
+  // allow public routes to pass through
+  if (publicRoutes.some(route => request.nextUrl.pathname.startsWith(route))) {
+    return NextResponse.next();
+  }
+
+  // Check if the route should be protected
+  // This will apply to all API routes that start with /api/
+  if (request.nextUrl.pathname.startsWith('/api/')) {
+    if (!token || token !== tokenToUse) {
+      // Return a JSON response with 401 Unauthorized
+      return new NextResponse(JSON.stringify({ error: 'Unauthorized' }), {
+        status: 401,
+        headers: { 'Content-Type': 'application/json' },
+      });
+    }
+
+    // For authorized users, continue
+    return NextResponse.next();
+  }
+
+  // For non-API routes, just continue
+  return NextResponse.next();
+}
+
+// Configure which paths this middleware will run on
+export const config = {
+  matcher: [
+    // Apply to all API routes
+    '/api/:path*',
+  ],
+};

ui/src/utils/api.ts

@@ -0,0 +1,31 @@
+import axios from 'axios';
+import { createGlobalState } from 'react-global-hooks';
+
+export const isAuthorizedState = createGlobalState(false);
+
+export const apiClient = axios.create();
+
+// Add a request interceptor to add token from localStorage
+apiClient.interceptors.request.use(config => {
+  const token = localStorage.getItem('AI_TOOLKIT_AUTH');
+  if (token) {
+    config.headers['Authorization'] = `Bearer ${token}`;
+  }
+  return config;
+});
+
+// Add a response interceptor to handle 401 errors
+apiClient.interceptors.response.use(
+  response => response, // Return successful responses as-is
+  error => {
+    // Check if the error is a 401 Unauthorized
+    if (error.response && error.response.status === 401) {
+      // Clear the auth token from localStorage
+      localStorage.removeItem('AI_TOOLKIT_AUTH');
+      isAuthorizedState.set(false);
+    }
+
+    // Reject the promise with the error so calling code can still catch it
+    return Promise.reject(error);
+  },
+);

ui/src/utils/basic.ts

@@ -2,3 +2,4 @@ export const objectCopy = <T>(obj: T): T => {
   return JSON.parse(JSON.stringify(obj)) as T;
 };
 
+export const wait = (ms: number) => new Promise(resolve => setTimeout(resolve, ms));

ui/src/utils/hooks.tsx

@@ -79,10 +79,10 @@ export function useNestedState<T>(initialState: T): [T, (value: any, path?: stri
   const setValue = React.useCallback((value: any, path?: string) => {
     if (path === undefined) {
       setState(value);
-      return
+      return;
     }
     setState(prevState => setNestedValue(prevState, value, path));
   }, []);
 
   return [state, setValue];
-}
+}

ui/src/utils/jobs.ts

@@ -1,10 +1,12 @@
 import { JobConfig } from '@/types';
 import { Job } from '@prisma/client';
+import { apiClient } from '@/utils/api';
 
 export const startJob = (jobID: string) => {
   return new Promise<void>((resolve, reject) => {
-    fetch(`/api/jobs/${jobID}/start`)
+    apiClient
-      .then(res => res.json())
+      .get(`/api/jobs/${jobID}/start`)
+      .then(res => res.data)
       .then(data => {
         console.log('Job started:', data);
         resolve();
@@ -18,8 +20,9 @@ export const startJob = (jobID: string) => {
 
 export const stopJob = (jobID: string) => {
   return new Promise<void>((resolve, reject) => {
-    fetch(`/api/jobs/${jobID}/stop`)
+    apiClient
-      .then(res => res.json())
+      .get(`/api/jobs/${jobID}/stop`)
+      .then(res => res.data)
       .then(data => {
         console.log('Job stopped:', data);
         resolve();
@@ -33,8 +36,9 @@ export const stopJob = (jobID: string) => {
 
 export const deleteJob = (jobID: string) => {
   return new Promise<void>((resolve, reject) => {
-    fetch(`/api/jobs/${jobID}/delete`)
+    apiClient
-      .then(res => res.json())
+      .get(`/api/jobs/${jobID}/delete`)
+      .then(res => res.data)
       .then(data => {
         console.log('Job deleted:', data);
         resolve();
@@ -67,9 +71,9 @@ export const getAvaliableJobActions = (job: Job) => {
 export const getNumberOfSamples = (job: Job) => {
   const jobConfig = getJobConfig(job);
   return jobConfig.config.process[0].sample?.prompts?.length || 0;
-}
+};
 
 export const getTotalSteps = (job: Job) => {
   const jobConfig = getJobConfig(job);
   return jobConfig.config.process[0].train.steps;
-}
+};

ui/tailwind.config.ts

@@ -1,26 +1,26 @@
-import type { Config } from "tailwindcss";
+import type { Config } from 'tailwindcss';
 
 const config: Config = {
   content: [
-    "./src/pages/**/*.{js,ts,jsx,tsx,mdx}",
+    './src/pages/**/*.{js,ts,jsx,tsx,mdx}',
-    "./src/components/**/*.{js,ts,jsx,tsx,mdx}",
+    './src/components/**/*.{js,ts,jsx,tsx,mdx}',
-    "./src/app/**/*.{js,ts,jsx,tsx,mdx}",
+    './src/app/**/*.{js,ts,jsx,tsx,mdx}',
   ],
-  darkMode: "class",
+  darkMode: 'class',
   theme: {
     extend: {
       colors: {
         gray: {
-          950: "#0a0a0a",
+          950: '#0a0a0a',
-          900: "#171717",
+          900: '#171717',
-          800: "#262626",
+          800: '#262626',
-          700: "#404040",
+          700: '#404040',
-          600: "#525252",
+          600: '#525252',
-          500: "#737373",
+          500: '#737373',
-          400: "#a3a3a3",
+          400: '#a3a3a3',
-          300: "#d4d4d4",
+          300: '#d4d4d4',
-          200: "#e5e5e5",
+          200: '#e5e5e5',
-          100: "#f5f5f5",
+          100: '#f5f5f5',
         },
       },
     },
@@ -28,4 +28,4 @@ const config: Config = {
   plugins: [],
 };
 
-export default config;
+export default config;