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

docker-entrypoint.sh

@@ -0,0 +1,35 @@
+#!/bin/bash
+
+set -e
+
+echo "Starting Ollama service..."
+ollama serve &
+
+# Wait for Ollama to be ready
+echo "Waiting for Ollama to start..."
+for i in {1..30}; do
+    if curl -s http://localhost:11434/api/tags > /dev/null 2>&1; then
+        echo "Ollama is ready!"
+        break
+    fi
+    echo "Waiting for Ollama... ($i/30)"
+    sleep 2
+done
+
+# Check if models exist, if not, show warning
+echo "Checking for models..."
+ollama list
+
+if ! ollama list | grep -q "qwen3:14b"; then
+    echo "WARNING: qwen3:14b model not found!"
+    echo "The application requires qwen3:14b to function properly."
+fi
+
+if ! ollama list | grep -q "qwen3-embedding"; then
+    echo "WARNING: qwen3-embedding model not found!"
+    echo "The application requires qwen3-embedding:4b for embeddings."
+fi
+
+echo "Starting FastAPI application..."
+exec uvicorn _qwen_xinference_demo.api:app --host 0.0.0.0 --port 8010
+