initial commit

app.py

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+import gradio as gr
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from smolagents import InferenceClientModel, CodeAgent, MCPClient
+
+mcp_client = None
+
+try:
+    mcp_client = MCPClient(
+        {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse", "transport": "sse"},
+        structured_output=False
+    )
+    tools = mcp_client.get_tools()
+
+    model = InferenceClientModel(token=os.getenv("HUGGINGFACE_API_TOKEN"))
+    agent = CodeAgent(tools=[*tools], model=model, additional_authorized_imports=["json", "ast", "urllib", "base64"])
+
+    demo = gr.ChatInterface(
+        fn=lambda message, history: str(agent.run(message)),
+        examples=["Analyze the sentiment of the following text 'This is awesome'"],
+        title="Agent with MCP Tools",
+        description="This is a simple agent that uses MCP tools to answer questions.",
+    )
+
+    demo.launch()
+finally:
+    if mcp_client is not None:
+        mcp_client.disconnect()  

requirements.txt

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+gradio[mcp]
+smolagents[mcp]