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.
51 lines
2.5 KiB
Bash
51 lines
2.5 KiB
Bash
# ---------------------------------------------------------------------------
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# Freezmo - Ollama configuration
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# Copy this file to `.env.local` and adjust if needed.
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# ---------------------------------------------------------------------------
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# WHO PROVIDES THE API KEY -----------------------------------------------------
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# user-key (default) Every browser supplies its own key. The key is typed
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# into the settings dialog, kept in that browser's local
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# storage and sent with each request in the
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# `x-ollama-key` header. The server never stores it.
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# Point OLLAMA_BASE_URL at https://ollama.com.
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# server One key for everyone, read from OLLAMA_API_KEY below
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# (single-user installs). Nothing is sent from the client.
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# local No key at all: a local daemon signed in with
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# `ollama signin` proxies the cloud models.
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OLLAMA_AUTH=user-key
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# Ollama endpoint. https://ollama.com for cloud, http://localhost:11434 for a
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# local daemon. In user-key mode this is the endpoint the browser's key is sent
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# to; in server/local mode it is used directly.
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OLLAMA_BASE_URL=https://ollama.com
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# Only used when OLLAMA_AUTH=server. Never commit a real key.
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OLLAMA_API_KEY=
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# Model used for the vision/transcription step (reads photos of notes).
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# Must be multimodal — gpt-oss and other text-only models cannot be used here.
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# Free-tier friendly: gemma4:31b-cloud, kimi-k3:cloud (paid), mistral-large-3 (paid).
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VISION_MODEL=gemma4:31b-cloud
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# Model used to generate activities, grade short answers and restore the
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# language if a transcription came back translated. gpt-oss:120b is free-tier
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# friendly, very good at strict JSON and the strongest multilingual model in the
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# free plan. NOTE: it is text-only, so it can't be used as VISION_MODEL.
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# Free alternatives: nemotron-3-super:cloud, gpt-oss:20b-cloud.
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# Paid/credit: glm-5.3-flash:cloud, kimi-k3:cloud.
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TEXT_MODEL=gpt-oss:120b-cloud
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# RATE LIMITS (per client IP, sliding window, in-memory) ----------------------
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# Generation decks are expensive, so they are limited tightly by default.
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# RATE_LIMIT_WINDOW_MS=300000
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# RATE_LIMIT_GENERATE=12
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# RATE_LIMIT_GRADE=40
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# RATE_LIMIT_HEALTH=90
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# Optional tuning ------------------------------------------------------------
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# OLLAMA_TIMEOUT_MS=300000
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# OLLAMA_HEALTH_TIMEOUT_MS=8000
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# Send `think: false` to thinking models for faster JSON output.
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# OLLAMA_THINK=false
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# FREEZMO_DEFAULT_ACTIVITY_COUNT=10
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