Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+import os
+from smolagents import InferenceClientModel, CodeAgent, MCPClient
+
+# MCP Server URL - Replace with your remote endpoint
+MCP_SERVER_URL = "https://waysaheadglobal-mcp.hf.space/gradio_api/mcp/sse"
+
+# Load tools from MCP Server
+try:
+    mcp_client = MCPClient({"url": MCP_SERVER_URL})
+    tools = mcp_client.get_tools()
+
+    # Load LLM model using your Hugging Face token
+    model = InferenceClientModel(token=os.getenv("HUGGINGFACE_API_TOKEN"))
+    agent = CodeAgent(tools=[*tools], model=model)
+
+    # Gradio Chat Interface
+    demo = gr.ChatInterface(
+        fn=lambda message, history: str(agent.run(message)),
+        title="IMDL MCP Agent 🧠",
+        description="Ask anything from the PostgreSQL data tools",
+        examples=["Show me KPIs for May 2025", "Generate brand-wise revenue trends", "How many events happened last quarter?"],
+    )
+
+    demo.launch()
+finally:
+    mcp_client.disconnect()