import gradio as gr
import os

from smolagents import InferenceClientModel, CodeAgent, MCPClient


try:
    # Get HuggingFace token from environment (HF_TOKEN is the default space variable)
    hf_token = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_TOKEN")
    
    if not hf_token:
        raise ValueError(
            "No HuggingFace API token found. Please set HF_TOKEN or HUGGINGFACE_API_TOKEN "
            "environment variable in your Space settings."
        )
    
    mcp_client = MCPClient(
        {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse", "transport": "sse",}
    )
    tools = mcp_client.get_tools()

    model = InferenceClientModel(token=hf_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)),
        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()