Download app.py from wang2001/client: direct link, hf CLI and curl.
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https://huggingface.co/spaces/wang2001/client/resolve/main/app.py
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hf download hf://spaces/wang2001/client/app.py
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curl -L -o app.py https://huggingface.co/spaces/wang2001/client/resolve/main/app.py
823 Bytes
| import gradio as gr | |
| import os | |
| from smolagents import InferenceClientModel, CodeAgent, MCPClient | |
| try: | |
| mcp_client = MCPClient( | |
| {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse"} | |
| ) | |
| tools = mcp_client.get_tools() | |
| model = InferenceClientModel(token=os.getenv("HUGGINGFACE_API_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() | |
| finally: | |
| mcp_client.disconnect() |