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app.py

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+"""
+HuggingFace Spaces entry point for Garmin Agents web application.
+
+This file serves as the deployment template for HuggingFace Spaces. During deployment,
+it should be copied to the repository root as app.py.
+
+HuggingFace Spaces expects:
+- app.py at repository root
+- requirements.txt at repository root
+- All application code accessible from app.py
+"""
+
+import json
+import os
+import tempfile
+
+# Handle Google Cloud credentials from HF Spaces secret
+# HF Spaces stores service account JSON as string in GOOGLE_CREDENTIALS_JSON secret
+if creds_json := os.getenv("GOOGLE_CREDENTIALS_JSON"):
+    try:
+        # Parse JSON string and write to temporary file
+        credentials_data = json.loads(creds_json)
+        with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
+            json.dump(credentials_data, f)
+            os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = f.name
+            print("✓ Google Cloud credentials configured from HF Spaces secret")
+    except json.JSONDecodeError as e:
+        print(f"⚠️  Failed to parse GOOGLE_CREDENTIALS_JSON: {e}")
+        print("Please ensure the secret contains valid JSON")
+
+# Set production environment variables
+os.environ.setdefault("DATABASE_TYPE", "firestore")
+os.environ.setdefault("ENABLE_AUTH", "true")
+os.environ.setdefault("ENVIRONMENT", "production")
+
+# Verify required environment variables
+required_vars = {
+    "GOOGLE_CLOUD_PROJECT": "GCP project ID for Firestore",
+    "CHAT_AGENT_MODEL": "AI model specification (e.g., hf:meta-llama/Llama-3.2-3B-Instruct)",
+}
+
+missing_vars = []
+for var_name, var_description in required_vars.items():
+    if not os.getenv(var_name):
+        missing_vars.append(f"  - {var_name}: {var_description}")
+
+if missing_vars:
+    error_msg = "❌ Missing required environment variables:\n" + "\n".join(missing_vars)
+    print(error_msg)
+    print("\nPlease configure these in HuggingFace Spaces Settings → Variables")
+    raise RuntimeError(error_msg)
+
+# Import and launch the web application
+try:
+    from garmin_web.app import create_interface, setup_agent, setup_authentication, setup_telemetry
+    from garmin_web.config.app_config import get_app_config
+
+    print("🏃‍♂️ Starting Garmin AI Coach on HuggingFace Spaces...")
+
+    # Get configuration
+    config = get_app_config()
+
+    # Setup telemetry
+    setup_telemetry()
+
+    # Setup authentication if enabled
+    if config.enable_auth:
+        print("🔐 Multi-user authentication enabled")
+        setup_authentication(config)
+    else:
+        print("⚠️  Running in single-user mode")
+
+    # Get model from environment
+    model_spec = os.getenv("CHAT_AGENT_MODEL", "hf:meta-llama/Llama-3.2-3B-Instruct")
+    print(f"🤖 Using model: {model_spec}")
+
+    # Initialize agent
+    setup_agent(model_spec)
+
+    # Create Gradio interface
+    demo = create_interface()
+
+    print("✅ Application initialized successfully")
+
+    # Launch the interface
+    # HuggingFace Spaces automatically handles the server configuration
+    if __name__ == "__main__":
+        demo.launch()
+
+except ImportError as e:
+    error_msg = f"❌ Failed to import application modules: {e}"
+    print(error_msg)
+    print("Ensure all workspace packages are included in deployment")
+    raise
+except Exception as e:
+    error_msg = f"❌ Failed to initialize application: {e}"
+    print(error_msg)
+    raise