app.py

import gradio as gr
import os
from huggingface_hub import login
from huggingface_hub import InferenceClient
from smolagents import InferenceClientModel, CodeAgent, MCPClient  # Only import what's available
### added token
token=os.environ.get("HF_TOKEN")
if token:
    login(token=token)
else:
    print("Hugging Face token not found in environment variable HF_TOKEN")

###login(token=os.getenv("HUGGINGFACE_API_TOKEN"))
try:
    mcp_client = MCPClient(
        {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse"}
    )
    tools = mcp_client.get_tools()

    # Create InferenceClient directly
    hf_client = InferenceClient(
        model="Qwen/Qwen2.5-Coder-32B-Instruct",
        token=os.getenv("HUGGINGFACE_API_TOKEN")  # Ensure this environment variable exists
    )
    
    # Create model with the pre-configured client
    model = InferenceClientModel(client=hf_client)
    
    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()