update

app.py

@@ -72,6 +72,17 @@ def create_app():
         # Add a state for storing user dataset analysis results
         user_analysis_log = gr.State({})
         
+        # Create the summary components at the top level so they can be referenced by all tabs
+        summary_content = gr.Textbox(
+            label="Summary Content",
+            lines=25,
+            max_lines=50,
+            interactive=False,
+            visible=False  # Initially hidden
+        )
+        
+        summary_status = gr.Markdown("", visible=False)  # Initially hidden
+        
         # Dataset Input Tab
         with gr.Tab("Dataset Input"):
             # Filter out files that start with 'summary' for the Dataset Input tab
@@ -92,7 +103,7 @@ def create_app():
             # Save dataset to state and update status
             def create_dataset(p, r1, m1, r2, m2):
                 if not p or not r1 or not r2:
-                    return {}, "❌ **Error:** Please fill in at least the prompt and both responses"
+                    return {}, "❌ **Error:** Please fill in at least the prompt and both responses", "", "**Error:** Please fill all required fields"
                 
                 dataset = {
                     "entries": [
@@ -968,7 +979,7 @@ def create_app():
                     )
                     
                     load_summary_btn = gr.Button("Load Summary", variant="primary")
-
+                    
                     summary_assistant_prompt = gr.Textbox(
                         value="Attached are the results from various NLP based comparisons between two LLM responses on the same prompt. Give your interpretation of the results.",
                         label="Analysis Assistant Prompt",
@@ -977,12 +988,9 @@ def create_app():
                     )
                 
                 with gr.Column(scale=3):
-                    summary_content = gr.Textbox(
-                        label="Summary Content",
-                        lines=25,
-                        max_lines=50,
-                        interactive=False
-                    )
+                    # Make the previously hidden summary components visible in this tab
+                    summary_content.visible = True
+                    summary_status.visible = True
                     
                     summary_status = gr.Markdown("*No summary loaded*")