Create app.py

app.py

@@ -0,0 +1,54 @@
+"""
+Universal MCP Client - Main Application
+A modular Gradio chatbot that uses HuggingFace Inference Providers to access OpenAI GPT OSS models
+and can connect to various MCP servers for enhanced functionality.
+"""
+import logging
+import os
+
+from config import AppConfig
+from mcp_client import UniversalMCPClient
+from ui_components import UIComponents
+
+# Set up logging
+logger = logging.getLogger(__name__)
+
+def main():
+    """Main application entry point"""
+    logger.info("🚀 Starting Universal MCP Client with HuggingFace Inference Providers...")
+    
+    try:
+        # Check for HuggingFace token
+        if not AppConfig.HF_TOKEN:
+            logger.warning("⚠️  No HF_TOKEN found in environment variables")
+            logger.info("💡 Users will need to login manually or set HF_TOKEN")
+        else:
+            logger.info("✅ HF_TOKEN found in environment")
+        
+        # Initialize the MCP client
+        mcp_client = UniversalMCPClient()
+        
+        # Create UI components
+        ui_components = UIComponents(mcp_client)
+        
+        # Create the Gradio interface
+        demo = ui_components.create_interface()
+        
+        # Launch the application
+        demo.launch(
+            debug=AppConfig.DEBUG_MODE,
+            share=False,  # Set to True if you want to create a public link
+            server_name="0.0.0.0",  # Allow external connections
+            server_port=7860,  # Default Gradio port
+            auth=None,  # No authentication (handled by HF login)
+            max_threads=40  # Allow multiple concurrent users
+        )
+        
+        logger.info("✅ Universal MCP Client started successfully!")
+        
+    except Exception as e:
+        logger.error(f"❌ Failed to start application: {e}")
+        raise
+
+if __name__ == "__main__":
+    main()