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Download app.py from Eremenko/mcp-client: direct link, hf CLI and curl.
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- Download file 1.25 kB
-
https://huggingface.co/spaces/Eremenko/mcp-client/resolve/main/app.py
- Command line
-
hf download hf://spaces/Eremenko/mcp-client/app.py
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curl -L -o app.py https://huggingface.co/spaces/Eremenko/mcp-client/resolve/main/app.py
1.25 kB
| 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() | |