Fix README configuration for Spaces deployment

README.md

@@ -1,3 +1,14 @@
+---
+title: Z Image Turbo - Production Edition
+emoji: 🚀
+colorFrom: purple
+colorTo: pink
+sdk: gradio
+sdk_version: "4.20.0"
+app_file: app.py
+pinned: false
+---
+
 # Z Image Turbo - Production Edition
 
 A production-ready, optimized image generation and transformation application built with Gradio and Diffusers. This application addresses common production challenges including error handling, resource management, and performance optimization.
@@ -32,57 +43,6 @@ A production-ready, optimized image generation and transformation application bu
 - PyTorch 2.0+ for optimal performance
 - xformers installed for memory efficiency
 
-## 🛠️ Installation
-
-### 1. Clone the Repository
-```bash
-git clone https://huggingface.co/spaces/lulavc/Z-Image-Turbo
-cd Z-Image-Turbo
-```
-
-### 2. Install Dependencies
-```bash
-pip install -r requirements.txt
-```
-
-### 3. Run the Application
-```bash
-python app.py
-```
-
-## 🏗️ Architecture
-
-### Module Structure
-```
-app.py                    # Main application with UI
-├── ModelManager         # Handles model loading and optimization
-├── ImageProcessor       # Processes generation and transformation
-├── CacheManager         # Manages caching with LRU and TTL
-└── SystemMonitor        # Tracks system resources and performance
-```
-
-### Key Classes
-
-#### ModelManager
-- Loads and initializes models with optimal settings
-- Applies performance optimizations with fallbacks
-- Manages model lifecycle and resources
-
-#### ImageProcessor
-- Handles image generation and transformation
-- Applies style enhancements and optimizations
-- Manages error scenarios gracefully
-
-#### CacheManager
-- Implements LRU cache with TTL expiration
-- Reduces redundant generations
-- Manages cache size and cleanup
-
-#### SystemMonitor
-- Tracks system resources (CPU, GPU, memory)
-- Monitors application performance metrics
-- Provides health check endpoints
-
 ## 🔧 Configuration
 
 ### Environment Variables
@@ -109,18 +69,7 @@ The application automatically optimizes based on available hardware:
 - Uptime and error tracking
 
 ### Health Checks
-The application provides comprehensive health monitoring:
-```python
-async def health_check():
-    return {
-        "status": "healthy",
-        "model_loaded": True,
-        "optimizations": ["xformers", "cpu_offload"],
-        "uptime": 3600,
-        "generation_count": 100,
-        "cache_hit_rate": 75.5
-    }
-```
+The application provides comprehensive health monitoring with real-time metrics tracking.
 
 ## 🐛 Troubleshooting
 
@@ -238,4 +187,4 @@ This project is licensed under the MIT License.
 
 ---
 
-**Created with ❤️ by AI Agent Framework Specialist**
+**Created with ❤️ by AI Agent Framework Specialist**