update

app.py

@@ -3,6 +3,7 @@ from ui.dataset_input import create_dataset_input, load_example_dataset
 from ui.analysis_screen import create_analysis_screen, process_analysis_request
 import nltk
 import os
+import json
 
 # Download necessary NLTK data packages
 def download_nltk_resources():
@@ -111,8 +112,24 @@ def create_app():
                     results, output = process_analysis_request(dataset, selected_analyses, params)
                     print(f"Analysis completed: {results}")
                     
-                    # Output is already a dictionary, don't try to access .value
-                    return results, gr.update(visible=True, value=output)
+                    # Parse the output if it's a JSON string
+                    if isinstance(output, dict) and "value" in output:
+                        try:
+                            # If value is a JSON string, parse it
+                            if isinstance(output["value"], str):
+                                parsed_value = json.loads(output["value"])
+                                # Format the data nicely for display
+                                formatted_output = {
+                                    "analyses": parsed_value.get("analyses", {})
+                                }
+                                return results, gr.update(visible=True, value=formatted_output)
+                            else:
+                                return results, output
+                        except json.JSONDecodeError:
+                            return results, output
+                    else:
+                        return results, output
+                        
                 except Exception as e:
                     import traceback
                     error_trace = traceback.format_exc()