opro_demo/requirements.txt

fastapi==0.109.0
uvicorn==0.27.0
requests==2.31.0
numpy==1.26.3
scikit-learn==1.4.0
pydantic==2.5.3
feat: add Docker support for offline deployment with qwen3:14b 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 2025-12-08 10:10:38 +08:00			`fastapi==0.109.0`
			`uvicorn==0.27.0`
			`requests==2.31.0`
			`numpy==1.26.3`
			`scikit-learn==1.4.0`
			`pydantic==2.5.3`