Update sentiment_analysis.py

sentiment_analysis.py

@@ -18,7 +18,7 @@ class SimpleSentimentTool(Tool):
         }
     }
     # Use a standard authorized type
-    output_type = "dict[str, float]"  
+    output_type = "string"  
     
     # Available sentiment analysis models
     models = {
@@ -89,7 +89,9 @@ class SimpleSentimentTool(Tool):
             for item in prediction[0]:
                 result[item['label']] = float(item['score'])
             
-            return result
+            # Convert to JSON string for output
+            import json
+            return json.dumps(result, indent=2)
         except Exception as e:
             print(f"Error in sentiment analysis: {str(e)}")
-            return {"error": str(e)}
+            return json.dumps({"error": str(e)}, indent=2)