Update app.py

app.py

@@ -367,39 +367,39 @@ class GradioInterface:
             )
 
     def refine_prompt(self, prompt: str, meta_prompt_choice: str) -> tuple:
-    try:
-        input_data = PromptInput(text=prompt, meta_prompt_choice=meta_prompt_choice)
-        result = self.prompt_refiner.refine_prompt(input_data)
-        
-        # Ensure all values are strings or None
-        analysis_evaluation = str(result.initial_prompt_evaluation) if result.initial_prompt_evaluation else ""
-        refined_prompt = str(result.refined_prompt) if result.refined_prompt else ""
-        explanation_refinements = str(result.explanation_of_refinements) if result.explanation_of_refinements else ""
-        
-        # Create a safe JSON-serializable dictionary
-        full_response = {
-            "initial_prompt_evaluation": analysis_evaluation,
-            "refined_prompt": refined_prompt,
-            "explanation_of_refinements": explanation_refinements,
-            "raw_content": str(result.raw_content) if result.raw_content else ""
-        }
-        
-        return (
-            analysis_evaluation,
-            refined_prompt,
-            explanation_refinements,
-            full_response
-        )
-    except Exception as e:
-        # Return safe default values in case of any error
-        error_response = {
-            "error": str(e),
-            "initial_prompt_evaluation": "",
-            "refined_prompt": "",
-            "explanation_of_refinements": "",
-            "raw_content": ""
-        }
-        return "", "", "", error_response
+        try:
+            input_data = PromptInput(text=prompt, meta_prompt_choice=meta_prompt_choice)
+            result = self.prompt_refiner.refine_prompt(input_data)
+            
+            # Ensure all values are strings or None
+            analysis_evaluation = str(result.initial_prompt_evaluation) if result.initial_prompt_evaluation else ""
+            refined_prompt = str(result.refined_prompt) if result.refined_prompt else ""
+            explanation_refinements = str(result.explanation_of_refinements) if result.explanation_of_refinements else ""
+            
+            # Create a safe JSON-serializable dictionary
+            full_response = {
+                "initial_prompt_evaluation": analysis_evaluation,
+                "refined_prompt": refined_prompt,
+                "explanation_of_refinements": explanation_refinements,
+                "raw_content": str(result.raw_content) if result.raw_content else ""
+            }
+            
+            return (
+                analysis_evaluation,
+                refined_prompt,
+                explanation_refinements,
+                full_response
+            )
+        except Exception as e:
+            # Return safe default values in case of any error
+            error_response = {
+                "error": str(e),
+                "initial_prompt_evaluation": "",
+                "refined_prompt": "",
+                "explanation_of_refinements": "",
+                "raw_content": ""
+            }
+            return "", "", "", error_response
 
     def apply_prompts(self, original_prompt: str, refined_prompt: str, model: str):
         original_output = self.prompt_refiner.apply_prompt(original_prompt, model)