mcp-client / app.py
Ерёменко Иван
share=True
f9f9f66
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import gradio as gr
import os
from smolagents import CodeAgent, MCPClient, InferenceClientModel
# Следуем официальному примеру из Hugging Face MCP Course
try:
mcp_client = MCPClient(
{"url": "https://Eremenko-mcp-sentiment.hf.space/gradio_api/mcp/"}
)
tools = mcp_client.get_tools()
# Пробуем разные варианты токенов
token = os.getenv("HUGGINGFACE_API_TOKEN") or os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_HUB_TOKEN")
if not token:
raise Exception("Не найден токен! Установите переменную HUGGINGFACE_API_TOKEN в настройках Space")
model = InferenceClientModel(token=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(share=True)
finally:
mcp_client.disconnect()