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
import os

load_dotenv()

import os
hf_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")
if not hf_token:
    raise ValueError("HUGGINGFACEHUB_API_TOKEN env var is not set!")
from huggingface_hub import login
login(token=hf_token)




try:
    mcp_client = MCPClient(
        ## Try this working example on the hub:
        # {"url": "https://abidlabs-mcp-tools.hf.space/gradio_api/mcp/sse"}
        {"url": "https://baon2024-gradiomcpserver2.hf.space/gradio_api/mcp/sse"}
    )
    tools = mcp_client.get_tools()

    model = InferenceClientModel()

    agent = CodeAgent(tools=[*tools], model=model)#presumingly can also add non-MCP tools under their own names??

    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.",
    )

    demo.launch()
finally:
    mcp_client.disconnect()