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Download app.py from mahimairaja/mcp-sentiment-client: direct link, hf CLI and curl.
- Browser
- Download file 929 Bytes
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https://huggingface.co/spaces/mahimairaja/mcp-sentiment-client/resolve/main/app.py
- Command line
-
hf download hf://spaces/mahimairaja/mcp-sentiment-client/app.py
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curl -L -o app.py https://huggingface.co/spaces/mahimairaja/mcp-sentiment-client/resolve/main/app.py
929 Bytes
| import os | |
| import gradio as gr | |
| from smolagents import CodeAgent, InferenceClientModel, MCPClient | |
| HUGGINGFACE_API_TOKEN = os.getenv("HF_TOKEN") | |
| MCP_URL = os.getenv("MCP_URL") | |
| try: | |
| mcp_client = MCPClient( | |
| { | |
| "url": MCP_URL, | |
| "transport": "sse", | |
| } | |
| ) | |
| tools = mcp_client.get_tools() | |
| model = InferenceClientModel(token=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() | |