01aee1fd0d
- Add environment variable configuration for backend and frontend - Backend: DB_POOL_SIZE, JWT_EXPIRE_HOURS, timeout configs, directory paths - Frontend: VITE_API_BASE_URL, VITE_UPLOAD_TIMEOUT, Whisper configs - Create deployment script (scripts/deploy-backend.sh) - Create 1Panel deployment guide (docs/1panel-deployment.md) - Update DEPLOYMENT.md with env var documentation - Create README.md with project overview - Remove obsolete PRD.md, SDD.md, TDD.md (replaced by OpenSpec) - Keep CORS allow_origins=["*"] for Electron EXE distribution 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
40 lines
1.6 KiB
Plaintext
40 lines
1.6 KiB
Plaintext
# =============================================================================
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# Meeting Assistant Frontend Configuration
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# Copy this file to .env and fill in your values
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# =============================================================================
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# -----------------------------------------------------------------------------
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# API Configuration (Vite build-time variables)
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# -----------------------------------------------------------------------------
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# Backend API base URL
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# For development: http://localhost:8000/api
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# For production: http://<server-ip>:<port>/api or https://api.example.com/api
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VITE_API_BASE_URL=http://localhost:8000/api
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# Upload timeout in milliseconds (default: 600000 = 10 minutes)
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VITE_UPLOAD_TIMEOUT=600000
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# Application title (shown in window title)
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VITE_APP_TITLE=Meeting Assistant
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# -----------------------------------------------------------------------------
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# Sidecar/Whisper Configuration (Electron runtime variables)
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# -----------------------------------------------------------------------------
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# These environment variables are read by Electron main process at runtime
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# and passed to the Sidecar (Whisper transcription service)
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# Whisper model size
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# Options: tiny, base, small, medium, large
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# Larger models are more accurate but require more memory and are slower
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WHISPER_MODEL=medium
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# Execution device
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# Options: cpu, cuda
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# Use "cuda" if you have an NVIDIA GPU with CUDA support
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WHISPER_DEVICE=cpu
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# Compute precision
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# Options: int8, float16, float32
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# int8 is fastest but less accurate, float32 is most accurate but slowest
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WHISPER_COMPUTE=int8
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