demo

.gitignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# Environment variables
+.env
+.env.local
+.env.*.local
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+.DS_Store?
+._*
+.Spotlight-V100
+.Trashes
+ehthumbs.db
+Thumbs.db
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# PyTorch
+*.pth
+*.pt
+*.ckpt
+
+# Logs
+*.log
+logs/
+
+# Temporary files
+*.tmp
+*.temp
+
+# Hugging Face Spaces specific
+.cache/ 

app.py

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+"""
+RoutePilot - GNN-LLM Intelligent Selection System
+Hugging Face Spaces Entry Point
+
+This is the main entry point for the Hugging Face Spaces deployment.
+It imports the necessary components from the existing application and
+sets up the Gradio interface for deployment.
+"""
+
+import os
+import sys
+import gradio as gr
+
+# Add the current directory to Python path for imports
+sys.path.append(os.path.dirname(__file__))
+
+# Import the main application components
+from demo import create_interface
+
+# Set up environment variables for Hugging Face Spaces
+def setup_environment():
+    """Set up environment variables for Hugging Face Spaces deployment"""
+    # Check if we're running on Hugging Face Spaces
+    if os.getenv("SPACE_ID"):
+        print("🚀 Running on Hugging Face Spaces")
+        
+        # Set default values for required environment variables
+        if not os.getenv("NVIDIA_API_KEY"):
+            print("⚠️  NVIDIA_API_KEY not set. Some features may be limited.")
+            print("   Please set NVIDIA_API_KEY in the Space settings.")
+        
+        # Set CUDA device for Spaces (usually limited resources)
+        os.environ["CUDA_VISIBLE_DEVICES"] = "0"
+        
+        # Set memory optimization flags
+        os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "max_split_size_mb:128"
+        
+    else:
+        print("🏠 Running locally")
+
+def main():
+    """Main function to launch the application"""
+    # Set up environment
+    setup_environment()
+    
+    # Create the Gradio interface
+    print("🎯 Creating RoutePilot interface...")
+    demo = create_interface()
+    
+    # Launch the application
+    # For Hugging Face Spaces, we don't need to specify server_name and port
+    # The platform handles this automatically
+    demo.launch(
+        show_error=True,
+        debug=False,  # Set to False for production
+        show_api=False
+    )
+
+if __name__ == "__main__":
+    main() 

requirements.txt

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+# Core ML and Deep Learning
+torch>=2.1.0
+torch-geometric>=2.4.0
+transformers>=4.49.0
+sentence-transformers>=2.2.2
+
+# Data Processing
+numpy>=2.2.3
+pandas>=2.2.3
+scikit-learn>=1.6.1
+scipy>=1.15.2
+
+# Web Interface
+gradio>=5.34.2
+
+# API and HTTP
+requests>=2.31.0
+openai>=1.0.0
+
+# Utilities
+tqdm>=4.67.1
+PyYAML>=6.0
+python-dotenv>=1.0.0
+
+# Datasets
+datasets>=3.3.2
+
+# LLM Integration
+litellm>=1.52.10
+
+# Additional dependencies for Hugging Face Spaces
+accelerate>=0.20.0