opro_demo/.dockerignore

__pycache__
*.pyc
*.pyo
*.pyd
.Python
*.so
*.egg
*.egg-info
dist
build
.git
.gitignore
.vscode
.idea
*.md
!README.md
# Include pre-downloaded Ollama binary for offline build
!ollama-linux-amd64.tgz
local_docs
examples
outputs
.DS_Store
*.log
.env
.venv
venv
env
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			`__pycache__`
			`*.pyc`
			`*.pyo`
			`*.pyd`
			`.Python`
			`*.so`
			`*.egg`
			`*.egg-info`
			`dist`
			`build`
			`.git`
			`.gitignore`
			`.vscode`
			`.idea`
			`*.md`
			`!README.md`
Add GPU support and improve Docker deployment - Add GPU deployment support with NVIDIA runtime - Update Dockerfile.allinone with GPU environment variables - Add comprehensive GPU_DEPLOYMENT.md guide - Make port 11434 (Ollama) optional for security - Update DEPLOYMENT.md with CPU and GPU deployment options - Simplify default docker run commands - Update healthcheck to only check web application - Add memory requirements documentation - Create MEMORY_REQUIREMENTS.md with model comparison - Add build-8b.sh script for lower memory usage - Document OOM troubleshooting steps - Improve Docker build process - Add BUILD_TROUBLESHOOTING.md for common issues - Add DISTRIBUTION.md for image distribution methods - Update .gitignore to exclude large binary files - Improve docker-entrypoint.sh with better diagnostics - Update .dockerignore to include ollama-linux-amd64.tgz - Add backup file exclusions to .gitignore 2025-12-08 17:08:45 +08:00			`# Include pre-downloaded Ollama binary for offline build`
			`!ollama-linux-amd64.tgz`
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			`local_docs`
			`examples`
			`outputs`
			`.DS_Store`
			`*.log`
			`.env`
			`.venv`
			`venv`
			`env`