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| import gradio as gr | |
| import os | |
| from smolagents import InferenceClientModel, CodeAgent | |
| from smolagents.mcp_client import MCPClient | |
| try: | |
| mcp_client = MCPClient( | |
| {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse"} | |
| ) | |
| 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"]) | |
| tools_description = "\n".join(f"• **{tool.name}**: {tool.description}" for tool in tools) | |
| demo = gr.ChatInterface( | |
| fn=lambda message, history: str(agent.run(message)), | |
| type="messages", | |
| examples=["Analyze the sentiment of the following text 'This is awesome'"], | |
| title="Agent with MCP Tools", | |
| description=f"""This is a simple agent that uses MCP tools to answer questions: | |
| Available tools: | |
| {tools_description}""", | |
| ) | |
| demo.launch() | |
| finally: | |
| mcp_client.disconnect() |