Update app.py

app.py

@@ -1,12 +1,34 @@
 import gradio as gr
-from smolagent import MCPClient
+from textblob import TextBlob
 
-client = MCPClient(url="https://aiportco-mcp-sentiment.hf.space/gradio_api/mcp/sse")
+def sentiment_analysis(text: str) -> dict:
+    """
+    Analyze the sentiment of the given text.
 
-def run_agent(text):
-    return client.run(f"Analyze the sentiment of the text: {text}")
+    Args:
+        text (str): The text to analyze
 
-demo = gr.Interface(run_agent, inputs="text", outputs="json", title="MCP Sentiment Client")
+    Returns:
+        dict: A dictionary containing polarity, subjectivity, and assessment
+    """
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+    
+    return {
+        "polarity": round(sentiment.polarity, 2),  # -1 (negative) to 1 (positive)
+        "subjectivity": round(sentiment.subjectivity, 2),  # 0 (objective) to 1 (subjective)
+        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
+    }
 
+# Create the Gradio interface
+demo = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(placeholder="Enter text to analyze..."),
+    outputs=gr.JSON(),
+    title="Text Sentiment Analysis",
+    description="Analyze the sentiment of text using TextBlob"
+)
+
+# Launch the interface and MCP server
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(mcp_server=True)