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

config.py

@@ -7,7 +7,7 @@ APP_CONTACT = {"name": "OPRO Team", "url": "http://127.0.0.1:8010/ui/"}
 OLLAMA_HOST = "http://127.0.0.1:11434"
 OLLAMA_GENERATE_URL = f"{OLLAMA_HOST}/api/generate"
 OLLAMA_TAGS_URL = f"{OLLAMA_HOST}/api/tags"
-DEFAULT_CHAT_MODEL = "qwen3:8b"
+DEFAULT_CHAT_MODEL = "qwen3:14b"
 DEFAULT_EMBED_MODEL = "qwen3-embedding:4b"
 
 # Xinference