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.
27 lines
628 B
JavaScript
27 lines
628 B
JavaScript
import { dirname } from "path";
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import { fileURLToPath } from "url";
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import { FlatCompat } from "@eslint/eslintrc";
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = dirname(__filename);
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const compat = new FlatCompat({
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baseDirectory: __dirname,
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});
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const eslintConfig = [
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...compat.extends("next/core-web-vitals", "next/typescript"),
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{
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ignores: [
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"node_modules/**",
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".next/**",
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"out/**",
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"build/**",
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"next-env.d.ts",
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// Generated at build/dev time by scripts/copy-pdf-worker.mjs.
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"public/pdf.worker.min.mjs",
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],
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},
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];
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export default eslintConfig;
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