import gradio as gr
import os
from dotenv import load_dotenv
from smolagents import InferenceClientModel, CodeAgent, MCPClient

load_dotenv()
mcp_client = None
try:
    mcp_client = MCPClient(
        {
            "url": "https://fmarky-sentiment-analysis-mcp-server.hf.space/gradio_api/mcp/sse",
            "transport": "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"],
    )

    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:
    if mcp_client is not None:
        mcp_client.disconnect()