# uv pip install "smolagents[mcp]" "gradio[mcp]" mcp fastmcp

import gradio as gr
import os
from dotenv import load_dotenv 

from smolagents import InferenceClientModel, CodeAgent, MCPClient

load_dotenv()

try:
    mcp_client = MCPClient(
        {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse", "transport": "sse"},
        structured_output=True
    )
    tools = mcp_client.get_tools()

    model = InferenceClientModel(
        model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
        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)),
        # 移除 type="messages"
        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:
    mcp_client.disconnect()