leehwui
26f8e0c648
Major additions: - All-in-One Docker image with Ollama + models bundled - Separate deployment option for existing Ollama installations - Changed default model from qwen3:8b to qwen3:14b - Comprehensive deployment documentation Files added: - Dockerfile: Basic app-only image - Dockerfile.allinone: Complete image with Ollama + models - docker-compose.yml: Easy deployment configuration - docker-entrypoint.sh: Startup script for all-in-one image - requirements.txt: Python dependencies - .dockerignore: Exclude unnecessary files from image Scripts: - export-ollama-models.sh: Export models from local Ollama - build-allinone.sh: Build complete offline-deployable image - build-and-export.sh: Build and export basic image Documentation: - DEPLOYMENT.md: Comprehensive deployment guide - QUICK_START.md: Quick reference for common tasks Configuration: - Updated config.py: DEFAULT_CHAT_MODEL = qwen3:14b - Updated frontend/opro.html: Page title to 系统提示词优化
24 lines
515 B
YAML
24 lines
515 B
YAML
version: '3.8'
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services:
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app:
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build: .
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container_name: system-prompt-optimizer
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ports:
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- "8010:8010"
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environment:
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- OLLAMA_HOST=http://host.docker.internal:11434
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- PYTHONUNBUFFERED=1
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volumes:
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- ./outputs:/app/outputs
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restart: unless-stopped
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extra_hosts:
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- "host.docker.internal:host-gateway"
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8010/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 5s
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