Added coding agent

MCP-SentimentAnalysis

@@ -1 +0,0 @@
-Subproject commit a93ff3758cf8e0b5c79a7796a46dea8ab993c127

client.py

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+import gradio as gr
+
+from mcp.client.stdio import StdioClient
+from smolagents import ToolCollection, CodeAgent, InferenceClientModel
+from smolagents.mcp_client import MCPClient
+
+try:
+    mcp_client = MCPClient(
+        {
+            "url": "http://localhost:7860/gradio_api/mcp/sse",
+        }
+    )
+    tools = mcp_client.get_tools()
+    model = InferenceClientModel()
+    agent = CodeAgent(tools=[*tools], model=model)
+
+    demo = gr.ChatInterface(
+        fn=lambda message, history: str(agent.run(message)),
+        type="messages",
+        examples=["What is the capital of France?"],
+        title="Agent with Gradio and MCP",
+        description="Simple agent used for asking questions.",
+        messages=[],
+        theme="ocean"
+    )
+
+    demo.launch()
+finally:
+    mcp_client.close()

config.json

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+{
+    "mcpServers": {
+        "mcp": {
+            "url": "http://localhost:7860/gradio_api/mcp/sse"
+        }
+    }
+}

doc.md

@@ -5,12 +5,23 @@
 - `textblob`
 
 ## File Structure
+
+### app.py
+App file for huggingface spaces to build the Gradio app.
+
 ### server.py
 Main file to run the Gradio app.
 - Gradio interface with MCP server is launched
 - Input = Text from textbox
 - Output = JSON with sentiment analysis results (polarity, subjectivity, assessment)
 
+### mcp.json
+JSON file containing the MCP server configuration.
+servers = mcp server (sse transport, url)
+
+### config.json
+JSON file containing the list of MCP servers for the client to connect to.
+
 ## Functions
 1. `analyze_sentiment(text) -> dict`
    

mcp.json

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+{
+    "servers": [
+        {
+            "name": "MCP Server",
+            "transport": {
+                "type": "sse",
+                "url": "http://localhost:7860/gradio_api/mcp/sse"
+            }
+        }
+    ]
+}

requirements.txt

@@ -1,2 +1,4 @@
 gradio[mcp]
+smolagents[mcp]
+mcp
 textblob