Martin Dvorak
3ea2cea100
Next.js 15 app that turns photos, PDFs, DOCX/PPTX and text into a swipeable feed of AI-generated activities (flashcards, multiple choice, true/false, fill-in-the-blank, matching, ordering, short answer) using the user's own Ollama models. Highlights: - All AI calls run in server route handlers; the browser never talks to Ollama. - Bring-your-own-key mode (default): the key lives only in the browser and is sent per-request; server, local-daemon and shared-key modes also supported. - Client-side document extraction (pdf.js, mammoth, jszip) with scanned-PDF page rendering for the vision model; notes stay in their original language. - ChatGPT-style shell: collapsible sidebar / mobile drawer, neutral token-based light + dark themes, folder organisation, PWA (manifest, SW, offline page). - Strict JSON validation with zod + auto-repair, rate limiting, and request guards (cross-origin, body-size, API-key sanitising). - setup.sh bootstraps deps, .env.local and a production build. Gitignore excludes .env*, the generated pdf.js worker and local scratch files.
25 lines
692 B
TypeScript
25 lines
692 B
TypeScript
import { AppHeader } from "@/components/AppHeader";
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import { MobileSidebar, Sidebar, SidebarOffset } from "@/components/Sidebar";
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import { TabBar } from "@/components/TabBar";
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import { UploadScreen } from "@/components/UploadScreen";
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export const metadata = {
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title: "New deck",
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};
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export default function CreatePage() {
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return (
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<div className="flex min-h-dvh bg-[var(--page)]">
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<Sidebar />
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<SidebarOffset />
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<MobileSidebar />
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<main className="min-w-0 flex-1">
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<AppHeader />
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<div className="mx-auto w-full max-w-3xl px-4 pb-cta lg:px-10 lg:pb-20">
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<UploadScreen />
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</div>
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<TabBar />
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</main>
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</div>
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);
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}
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