update

app.py

@@ -72,17 +72,6 @@ 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
@@ -103,7 +92,7 @@ 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", "", "**Error:** Please fill all required fields"
+                    return {}, "❌ **Error:** Please fill in at least the prompt and both responses"
                 
                 dataset = {
                     "entries": [
@@ -111,14 +100,12 @@ def create_app():
                         {"prompt": p, "response": r2, "model": m2 or "Model 2"}
                     ]
                 }
-
-                # Return the dataset and a success message
-                return dataset, f"Dataset created successfully with prompt: '{p[:50]}...'", "", "**New dataset created. Previous analysis results cleared.**"            
+                return dataset, "✅ **Dataset created successfully!** You can now go to the Analysis tab"
                 
             create_btn.click(
                 fn=create_dataset,
                 inputs=[prompt, response1, model1, response2, model2],
-                outputs=[dataset_state, dataset_status, summary_content, summary_status]
+                outputs=[dataset_state, dataset_status]
             )
         
         # Analysis Tab
@@ -979,7 +966,7 @@ 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",
@@ -988,9 +975,14 @@ def create_app():
                     )
                 
                 with gr.Column(scale=3):
-                    # Make the previously hidden summary components visible in this tab
-                    summary_content(visible=True, label="Summary Content")
-                    summary_status(visible=True, value="*No summary loaded*")
+                    summary_content = gr.Textbox(
+                        label="Summary Content",
+                        lines=25,
+                        max_lines=50,
+                        interactive=False
+                    )
+                    
+                    summary_status = gr.Markdown("*No summary loaded*")
             
             # Function to load summary content from file or user analysis
             def load_summary_content(file_name, user_log):
@@ -1189,7 +1181,7 @@ def create_app():
                 inputs=[summary_dropdown, user_analysis_log],
                 outputs=[summary_content, summary_status]
             )
-                # Add a Visuals tab for plotting graphs
+        # Add a Visuals tab for plotting graphs
         with gr.Tab("Visuals"):
             gr.Markdown("## Visualization Graphs")