created local gradio clients. but should ideally be hosted on HF spaces

mcp_client.py

@@ -0,0 +1,37 @@
+import os
+import gradio as gr
+from mcp import StdioServerParameters
+from smolagents import InferenceClientModel, CodeAgent, ToolCollection, MCPClient
+
+
+if __name__ == "__main__":
+    
+    try:
+        mcp_client = MCPClient(
+            {"url": "https://abidlabs-mcp-tools2.hf.space/gradio_api/mcp/sse", "transport": "sse"}) # TODO: Change this to my HF space
+        tools = mcp_client.get_tools()
+
+        print("\n".join(f"{t.name}: {t.description}" for t in tools))
+
+        # Define model
+        model = InferenceClientModel(
+            model_id="Qwen/Qwen2.5-32B-Instruct",
+            token=os.getenv("HF_TOKEN")
+        )
+
+        agent = CodeAgent(tools=[*tools], model=model)
+
+        run_inference = False # TEMP
+        if run_inference:
+
+            chat_interface = gr.ChatInterface(
+                fn=lambda message, history: str(agent.run(message)),
+                type="messages",
+                examples=["Prime factorization of 68"],
+                title="Agent with MCP Tools",
+                description="This is a simple agent that uses MCP tools to answer questions."
+            )
+
+            chat_interface.launch()
+    finally:
+        mcp_client.close()

mcp_client_template.py

@@ -0,0 +1,15 @@
+from smolagents.mcp_client import MCPClient
+
+
+mcp_client = MCPClient(
+    {"url": "https://abidlabs-mcp-tools2.hf.space/gradio_api/mcp/sse", "transport": "sse"}
+)
+
+
+
+
+if __name__ == "__main__":
+
+    # List all available tools from the MCP server
+    with mcp_client as tools:
+        print("\n".join(f"{t.name}: {t.description}" for t in tools))