939cc13689
new file: .env.example new file: Dockerfile new file: app.py new file: blueprints/__init__.py new file: blueprints/auth.py new file: blueprints/chat.py new file: blueprints/context.py new file: blueprints/documents.py new file: blueprints/main.py new file: config.py new file: docker-compose.yml new file: models/__init__.py new file: models/chat_session.py new file: models/document.py new file: models/user.py new file: requirements.txt new file: services/__init__.py new file: services/document_parser.py new file: services/llm_service.py new file: services/rag_service.py new file: services/url_scraper.py new file: static/css/style.css new file: static/js/chat.js new file: static/js/inline_chat.js new file: static/js/main.js new file: templates/base.html new file: templates/document_view.html new file: templates/index.html new file: templates/login.html new file: templates/register.html
28 lines
1.3 KiB
Plaintext
28 lines
1.3 KiB
Plaintext
# Copy this file to .env and fill in your values
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# ── Flask ──────────────────────────────────────────────────────────────────────
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SECRET_KEY=change-me-to-a-random-secret-string
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FLASK_ENV=production
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# ── Database (SQLite default — no change needed for single-instance) ───────────
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# DATABASE_URI=sqlite:////app/app.db
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# ── AI Provider ────────────────────────────────────────────────────────────────
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# "lmstudio" → uses LM_STUDIO_URL below (default)
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# "openai" → uses OPENAI_API_KEY below
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AI_PROVIDER=lmstudio
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# LM Studio (running externally, e.g. on the host machine)
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# On Linux/Docker: use host.docker.internal to reach the host
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LM_STUDIO_URL=http://host.docker.internal:1234
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LM_STUDIO_MODEL=local-model
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# OpenAI (only needed when AI_PROVIDER=openai)
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# OPENAI_API_KEY=sk-...
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# OPENAI_MODEL=gpt-4o
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# ── RAG tuning (optional) ──────────────────────────────────────────────────────
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RAG_TOP_K=5
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RAG_CHUNK_SIZE=500
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RAG_CHUNK_OVERLAP=50
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