"""
This is a Gradio MCP client that connects to my MCP server (mcp-rag-workflow).
This script initializes a Gradio interface for an agent that uses tools from the MCP server.
It connects to the MCP server, retrieves available tools, and sets up a chat interface where users can interact with the agent.
"""

import os
from dotenv import load_dotenv
load_dotenv()  # Load environment variables from .env file

import gradio as gr
from smolagents import InferenceClientModel, CodeAgent, MCPClient

try:
    mcp_client = MCPClient(
        {
            "url": "https://agents-mcp-hackathon-mcp-rag-workflow.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)

    mcp_description = """
        **Example Queries**:
          - "What are the main features of fuel system of SU-35?"
          - "What is the combat potential of SU-35?"
          - "Write me a report on origin of the universe."
          - "Write me a report on the impact of climate change on polar bears."
         """
    demo = gr.ChatInterface(
        fn=lambda message, history: str(agent.run(message)),
        chatbot=gr.Chatbot(height=450, placeholder="Ask me about Sukhoi SU-35 or ask to write report on any topic."),
        type="messages",
        title="A Gradio MCP client that uses Tools from my Hackathon MCP server",
        examples=[ "What are the main features of fuel system of SU-35?", "What is the combat potential of SU-35?", "Write me a report on origin of the universe."],
        description=mcp_description,
    )

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