building the agent toekn 3

app.py

@@ -11,8 +11,9 @@ class SentimentAnalysisTool(Tool):
     """
     name = "sentiment_analysis"
     description = """
-    Analyze the sentiment of the given text.
-    Returns polarity (-1 to 1), subjectivity (0 to 1), and assessment (positive/negative/neutral).
+    Analyze the sentiment of text to determine if it's positive, negative, or neutral.
+    Use this tool when the user asks about sentiment, emotion, feeling, or opinion in text.
+    Returns polarity score (-1 to 1), subjectivity (0 to 1), and assessment (positive/negative/neutral).
     This tool connects to the MCP sentiment analysis server.
     """
 
@@ -220,7 +221,26 @@ def chat_with_agent(message, history, request: gr.Request):
     try:
         # Run the agent and get the response
         result = agent.run(message)
-        return result
+        
+        # Convert result to string if it's not already
+        if isinstance(result, dict):
+            # Format dictionary results nicely
+            if "polarity" in result and "subjectivity" in result and "assessment" in result:
+                formatted_result = f"""Sentiment Analysis Results:
+- **Polarity**: {result['polarity']} (range: -1 to 1)
+- **Subjectivity**: {result['subjectivity']} (range: 0 to 1)
+- **Assessment**: {result['assessment'].upper()}"""
+                return formatted_result
+            else:
+                # Format other dictionaries as JSON
+                import json
+                return json.dumps(result, indent=2)
+        elif isinstance(result, (list, tuple)):
+            # Convert lists/tuples to string
+            return str(result)
+        else:
+            # Already a string or other type that can be converted
+            return str(result)
     except Exception as e:
         return f"Error: {str(e)}"
 
@@ -230,7 +250,7 @@ demo = gr.ChatInterface(
     fn=chat_with_agent,
     title="MCP Sentiment Analysis Agent",
     description="Chat with an AI agent that can analyze sentiment using the MCP sentiment analysis server.",
-    chatbot=gr.Chatbot(layout="bubble", show_copy_button=True),
+    chatbot=gr.Chatbot(layout="bubble", show_copy_button=True, type="messages"),
     type="messages"
 )