app.py

import gradio as gr
from mcp.client.stdio import StdioServerParameters
from smolagents import InferenceClientModel, CodeAgent, ToolCollection
from smolagents.mcp_client import MCPClient
from dotenv import load_dotenv

load_dotenv()

mcp_client = None

try:
    # Connect to the MCP Sentiment Server
    mcp_client = MCPClient({"url": "https://abetavarez-gradio-mcp-sentiment.hf.space/gradio_api/mcp/sse"})

    # get the tools that we can use to answer questions.
    tools = mcp_client.get_tools()

    # Now that we have the tools, we can create a simple agent that uses them to answer questions.
    model = InferenceClientModel()
    agent = CodeAgent(model=model, tools=[*tools])

    demo = gr.ChatInterface(
        fn=lambda message, history: str(agent.run(message)),
        type="messages",
        examples=["Prime factorization of 68"],
        title="Agent with MCP Tools",
        description="This is a simple agent that uses MCP tools to answer questions.",
        # messages=[],
    )

    demo.launch()
    
finally:
    if mcp_client is not None:
        mcp_client.disconnect()