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gr_sm_agents.py

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+# import gradio as gr
+# import os
+
+# from mcp import StdioServerParameters
+# from smolagents import InferenceClientModel, CodeAgent, ToolCollection, MCPClient
+# mcp_client = MCPClient(
+#     {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse","transport":"sse"} # This is the MCP Client we created in the previous section
+# )
+# tools = mcp_client.get_tools()
+
+# model = InferenceClientModel(token=os.getenv("HF_TOKEN"))
+# agent = CodeAgent(tools=[*tools], model=model)
+
+# demo = gr.ChatInterface(
+#     fn=lambda message, history: str(agent.run(message)),
+#     type="messages",
+#     examples=["Prime factorization of 68"],
+#     title="Agent with MCP Tools",
+#     description="This is a simple agent that uses MCP tools to answer questions."
+# )
+
+# demo.launch()
+
+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("HF_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()

requirements.txt

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+gradio[mcp]
+textblob