Setup a very basic ui

This commit is contained in:
Jaret Burkett
2025-02-18 10:57:14 -07:00
parent b32d7e552b
commit b13fcc1039
27 changed files with 4708 additions and 0 deletions

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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions
# testing
/coverage
# next.js
/.next/
/out/
# production
/build
# misc
.DS_Store
*.pem
# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*
# env files (can opt-in for committing if needed)
.env*
# vercel
.vercel
# typescript
*.tsbuildinfo
next-env.d.ts
aitk_db.db

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This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
## Getting Started
First, run the development server:
```bash
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
```
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
## Learn More
To learn more about Next.js, take a look at the following resources:
- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!
## Deploy on Vercel
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.

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import type { NextConfig } from 'next';
const nextConfig: NextConfig = {
/* config options here */
};
export default nextConfig;

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{
"name": "ai-toolkit-ui",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev --turbopack",
"build": "next build",
"start": "next start",
"lint": "next lint",
"format": "prettier --write \"**/*.{js,jsx,ts,tsx,css,scss}\""
},
"dependencies": {
"@prisma/client": "^6.3.1",
"lucide-react": "^0.475.0",
"next": "15.1.7",
"prisma": "^6.3.1",
"react": "^19.0.0",
"react-dom": "^19.0.0",
"sqlite3": "^5.1.7"
},
"devDependencies": {
"@types/node": "^20",
"@types/react": "^19",
"@types/react-dom": "^19",
"postcss": "^8",
"prettier": "^3.5.1",
"prettier-basic": "^1.0.0",
"tailwindcss": "^3.4.1",
"typescript": "^5"
},
"prettier": "prettier-basic"
}

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/** @type {import('postcss-load-config').Config} */
const config = {
plugins: {
tailwindcss: {},
},
};
export default config;

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generator client {
provider = "prisma-client-js"
}
datasource db {
provider = "sqlite"
url = "file:../aitk_db.db"
}
model Settings {
id Int @id @default(autoincrement())
key String @unique
value String
}
model Training {
id String @id @default(uuid())
name String
run_data String // JSON string
created_at DateTime @default(now())
updated_at DateTime @updatedAt
}

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import { NextResponse } from 'next/server';
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
export async function GET() {
try {
const settings = await prisma.settings.findMany();
return NextResponse.json(settings.reduce((acc, curr) => ({ ...acc, [curr.key]: curr.value }), {}));
} catch (error) {
return NextResponse.json({ error: 'Failed to fetch settings' }, { status: 500 });
}
}
export async function POST(request: Request) {
try {
const body = await request.json();
const { HF_TOKEN, TRAINING_FOLDER } = body;
// Upsert both settings
await Promise.all([
prisma.settings.upsert({
where: { key: 'HF_TOKEN' },
update: { value: HF_TOKEN },
create: { key: 'HF_TOKEN', value: HF_TOKEN },
}),
prisma.settings.upsert({
where: { key: 'TRAINING_FOLDER' },
update: { value: TRAINING_FOLDER },
create: { key: 'TRAINING_FOLDER', value: TRAINING_FOLDER },
}),
]);
return NextResponse.json({ success: true });
} catch (error) {
return NextResponse.json({ error: 'Failed to update settings' }, { status: 500 });
}
}

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import { NextResponse } from 'next/server';
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
export async function GET(request: Request) {
const { searchParams } = new URL(request.url);
const id = searchParams.get('id');
try {
if (id) {
const training = await prisma.training.findUnique({
where: { id },
});
return NextResponse.json(training);
}
const trainings = await prisma.training.findMany({
orderBy: { created_at: 'desc' },
});
return NextResponse.json(trainings);
} catch (error) {
return NextResponse.json({ error: 'Failed to fetch training data' }, { status: 500 });
}
}
export async function POST(request: Request) {
try {
const body = await request.json();
const { id, name, run_data } = body;
if (id) {
// Update existing training
const training = await prisma.training.update({
where: { id },
data: {
name,
run_data: JSON.stringify(run_data),
},
});
return NextResponse.json(training);
} else {
// Create new training
const training = await prisma.training.create({
data: {
name,
run_data: JSON.stringify(run_data),
},
});
return NextResponse.json(training);
}
} catch (error) {
return NextResponse.json({ error: 'Failed to save training data' }, { status: 500 });
}
}

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export default function Dashboard() {
return (
<div className="space-y-6">
<h1 className="text-3xl font-bold">Dashboard</h1>
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6">
{[1, 2, 3].map(i => (
<div key={i} className="p-6 bg-gray-800 rounded-lg">
<h2 className="text-xl font-semibold mb-2">Card {i}</h2>
<p className="text-gray-400">Example dashboard card content</p>
</div>
))}
</div>
</div>
);
}

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@tailwind base;
@tailwind components;
@tailwind utilities;
:root {
--background: #ffffff;
--foreground: #171717;
}
@media (prefers-color-scheme: dark) {
:root {
--background: #0a0a0a;
--foreground: #ededed;
}
}
body {
color: var(--foreground);
background: var(--background);
font-family: Arial, Helvetica, sans-serif;
}

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import type { Metadata } from 'next';
import { Inter } from 'next/font/google';
import './globals.css';
import Sidebar from '@/components/Sidebar';
import { ThemeProvider } from '@/components/ThemeProvider';
const inter = Inter({ subsets: ['latin'] });
export const metadata: Metadata = {
title: 'Ostris - AI Toolkit',
description: 'A toolkit for building AI things.',
};
export default function RootLayout({ children }: { children: React.ReactNode }) {
return (
<html lang="en" className="dark">
<body className={inter.className}>
<ThemeProvider>
<div className="flex h-screen bg-gray-950">
<Sidebar />
<main className="flex-1 p-8 overflow-auto bg-gray-950 text-gray-100">{children}</main>
</div>
</ThemeProvider>
</body>
</html>
);
}

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import { redirect } from 'next/navigation';
export default function Home() {
redirect('/dashboard');
}

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'use client';
import { useEffect, useState } from 'react';
export default function Settings() {
const [settings, setSettings] = useState({
HF_TOKEN: '',
TRAINING_FOLDER: '',
});
const [status, setStatus] = useState<'idle' | 'saving' | 'success' | 'error'>('idle');
useEffect(() => {
// Fetch current settings
fetch('/api/settings')
.then(res => res.json())
.then(data => {
setSettings({
HF_TOKEN: data.HF_TOKEN || '',
TRAINING_FOLDER: data.TRAINING_FOLDER || '',
});
})
.catch(error => console.error('Error fetching settings:', error));
}, []);
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault();
setStatus('saving');
try {
const response = await fetch('/api/settings', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(settings),
});
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>) => {
const { name, value } = e.target;
setSettings(prev => ({ ...prev, [name]: value }));
};
return (
<div className="max-w-2xl mx-auto space-y-6">
<h1 className="text-3xl font-bold mb-8">Settings</h1>
<form onSubmit={handleSubmit} className="space-y-6">
<div className="space-y-4">
<div>
<label htmlFor="HF_TOKEN" className="block text-sm font-medium mb-2">
Hugging Face Token
<div className="text-gray-500 text-sm ml-1">
Create a Read token on{' '}
<a href="https://huggingface.co/settings/tokens" target="_blank" rel="noreferrer">
{' '}
Huggingface
</a> if you need to access gated/private models.
</div>
</label>
<input
type="password"
id="HF_TOKEN"
name="HF_TOKEN"
value={settings.HF_TOKEN}
onChange={handleChange}
className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:ring-2 focus:ring-gray-600 focus:border-transparent"
placeholder="Enter your Hugging Face token"
/>
</div>
<div>
<label htmlFor="TRAINING_FOLDER" className="block text-sm font-medium mb-2">
Training Folder Path
<div className="text-gray-500 text-sm ml-1">
We will store your training information here. Must be an absolute path. If blank, it will default to the output folder in the project root.
</div>
</label>
<input
type="text"
id="TRAINING_FOLDER"
name="TRAINING_FOLDER"
value={settings.TRAINING_FOLDER}
onChange={handleChange}
className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:ring-2 focus:ring-gray-600 focus:border-transparent"
placeholder="Enter training folder path"
/>
</div>
</div>
<button
type="submit"
disabled={status === 'saving'}
className="w-full px-4 py-2 bg-gray-700 hover:bg-gray-600 rounded-lg transition-colors disabled:opacity-50 disabled:cursor-not-allowed"
>
{status === 'saving' ? 'Saving...' : 'Save Settings'}
</button>
{status === 'success' && <p className="text-green-500 text-center">Settings saved successfully!</p>}
{status === 'error' && <p className="text-red-500 text-center">Error saving settings. Please try again.</p>}
</form>
</div>
);
}

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export interface Model {
name_or_path: string;
model_kwargs?: Record<string, boolean>;
train_kwargs?: Record<string, boolean>;
}
export interface Option {
model: Model[];
}
export const options = {
model: [
{
name_or_path: "ostris/Flex.1-alpha",
model_kwargs: {
"is_flux": true
},
train_kwargs: {
"bypass_guidance_embedding": true
}
},
{
name_or_path: "black-forest-labs/FLUX.1-dev",
model_kwargs: {
"is_flux": true
},
},
{
name_or_path: "Alpha-VLLM/Lumina-Image-2.0",
model_kwargs: {
"is_lumina2": true
},
},
]
} as Option;

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'use client';
import { useEffect, useState } from 'react';
import { useSearchParams, useRouter } from 'next/navigation';
import { options } from './options';
interface TrainingData {
modelConfig: {
name_or_path: string;
steps: number;
batchSize: number;
learningRate: number;
};
}
const defaultTrainingData: TrainingData = {
modelConfig: {
name_or_path: 'ostris/Flex.1-alpha',
steps: 100,
batchSize: 32,
learningRate: 0.001,
},
};
export default function TrainingForm() {
const router = useRouter();
const searchParams = useSearchParams();
const runId = searchParams.get('id');
const [name, setName] = useState('');
const [trainingData, setTrainingData] = useState<TrainingData>(defaultTrainingData);
const [status, setStatus] = useState<'idle' | 'saving' | 'success' | 'error'>('idle');
useEffect(() => {
if (runId) {
fetch(`/api/training?id=${runId}`)
.then(res => res.json())
.then(data => {
setName(data.name);
setTrainingData(JSON.parse(data.run_data));
})
.catch(error => console.error('Error fetching training:', error));
}
}, [runId]);
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault();
setStatus('saving');
try {
const response = await fetch('/api/training', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
id: runId,
name,
run_data: trainingData,
}),
});
if (!response.ok) throw new Error('Failed to save training');
setStatus('success');
if (!runId) {
const data = await response.json();
router.push(`/training?id=${data.id}`);
}
setTimeout(() => setStatus('idle'), 2000);
} catch (error) {
console.error('Error saving training:', error);
setStatus('error');
setTimeout(() => setStatus('idle'), 2000);
}
};
const updateSection = (section: keyof TrainingData, data: any) => {
setTrainingData(prev => ({
...prev,
[section]: { ...prev[section], ...data },
}));
};
const modelOptions = options.model.map(model => model.name_or_path);
return (
<div className="max-w-4xl mx-auto space-y-8 pb-12">
<h1 className="text-3xl font-bold mb-8">{runId ? 'Edit Training Run' : 'New Training Run'}</h1>
<form onSubmit={handleSubmit} className="space-y-8">
<div className="space-y-4">
<label htmlFor="name" className="block text-sm font-medium mb-2">
Training Name
</label>
<input
type="text"
id="name"
value={name}
onChange={e => setName(e.target.value)}
className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:ring-2 focus:ring-gray-600 focus:border-transparent"
placeholder="Enter training name"
required
/>
</div>
{/* Model Configuration Section */}
<section className="space-y-4 p-6 bg-gray-900 rounded-lg">
<h2 className="text-xl font-bold mb-4">Model Configuration</h2>
<div className="grid grid-cols-2 gap-4">
<div>
<label className="block text-sm font-medium mb-2">Model</label>
<select
value={trainingData.modelConfig.name_or_path}
onChange={e => updateSection('modelConfig', { name_or_path: e.target.value })}
className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg"
>
{modelOptions.map(model => (
<option key={model} value={model}>
{model}
</option>
))}
</select>
</div>
<div>
<label className="block text-sm font-medium mb-2">Epochs</label>
<input
type="number"
value={trainingData.modelConfig.steps}
onChange={e => updateSection('modelConfig', { steps: Number(e.target.value) })}
className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg"
/>
</div>
</div>
</section>
<button
type="submit"
disabled={status === 'saving'}
className="w-full px-4 py-2 bg-gray-700 hover:bg-gray-600 rounded-lg transition-colors disabled:opacity-50 disabled:cursor-not-allowed"
>
{status === 'saving' ? 'Saving...' : runId ? 'Update Training' : 'Create Training'}
</button>
{status === 'success' && <p className="text-green-500 text-center">Training saved successfully!</p>}
{status === 'error' && <p className="text-red-500 text-center">Error saving training. Please try again.</p>}
</form>
</div>
);
}

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import Link from 'next/link';
import { Home, Settings, BarChart2, BrainCircuit } from 'lucide-react';
const Sidebar = () => {
const navigation = [
{ name: 'Dashboard', href: '/dashboard', icon: Home },
{ name: 'Train', href: '/train', icon: BrainCircuit },
{ name: 'Settings', href: '/settings', icon: Settings },
];
return (
<div className="flex flex-col w-64 bg-gray-900 text-gray-100">
<div className="p-4">
<h1 className="text-xl">
<img src="/ostris_logo.png" alt="Ostris AI Toolkit" className="w-auto h-8 mr-3 inline" />
Ostris - AI Toolkit
</h1>
</div>
<nav className="flex-1">
<ul className="px-2 py-4 space-y-2">
{navigation.map(item => (
<li key={item.name}>
<Link
href={item.href}
className="flex items-center px-4 py-2 text-gray-300 hover:bg-gray-800 rounded-lg transition-colors"
>
<item.icon className="w-5 h-5 mr-3" />
{item.name}
</Link>
</li>
))}
</ul>
</nav>
</div>
);
};
export default Sidebar;

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'use client';
import { createContext, useContext, useEffect, useState } from 'react';
const ThemeContext = createContext({ isDark: true });
export const ThemeProvider = ({ children }: { children: React.ReactNode }) => {
const [isDark, setIsDark] = useState(true);
return <ThemeContext.Provider value={{ isDark }}>{children}</ThemeContext.Provider>;
};

31
ui/tailwind.config.ts Normal file
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import type { Config } from "tailwindcss";
const config: Config = {
content: [
"./src/pages/**/*.{js,ts,jsx,tsx,mdx}",
"./src/components/**/*.{js,ts,jsx,tsx,mdx}",
"./src/app/**/*.{js,ts,jsx,tsx,mdx}",
],
darkMode: "class",
theme: {
extend: {
colors: {
gray: {
950: "#0a0a0a",
900: "#171717",
800: "#262626",
700: "#404040",
600: "#525252",
500: "#737373",
400: "#a3a3a3",
300: "#d4d4d4",
200: "#e5e5e5",
100: "#f5f5f5",
},
},
},
},
plugins: [],
};
export default config;

27
ui/tsconfig.json Normal file
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{
"compilerOptions": {
"target": "ES2017",
"lib": ["dom", "dom.iterable", "esnext"],
"allowJs": true,
"skipLibCheck": true,
"strict": true,
"noEmit": true,
"esModuleInterop": true,
"module": "esnext",
"moduleResolution": "bundler",
"resolveJsonModule": true,
"isolatedModules": true,
"jsx": "preserve",
"incremental": true,
"plugins": [
{
"name": "next"
}
],
"paths": {
"@/*": ["./src/*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
"exclude": ["node_modules"]
}