Fix TypeError: cannot concatenate object of type 'dict' by converting dictionaries to DataFrames before appending to results list

app.py

@@ -306,7 +306,7 @@ The structural analysis combines multiple similarity metrics to create a compreh
 
             # Structural Analysis Tab
             with gr.Tab("Structural Analysis"):
-                with gr.Accordion("ℹ️ About this metric", open=False, elem_classes="metric-info-accordion structural-info"):
+                with gr.Accordion("ℹ️ About", open=False, elem_classes="metric-info-accordion structural-info"):
                     if "Structural Analysis" in metric_tooltips:
                         gr.Markdown(value=metric_tooltips["Structural Analysis"], elem_classes="metric-description")
                     else:

pipeline/process.py

@@ -345,10 +345,12 @@ def process_texts(
                 if enable_semantic and "Semantic Similarity" in pair_metrics:
                     result_row["Semantic Similarity"] = pair_metrics["Semantic Similarity"]
                 
-                results.append(result_row)
+                # Convert the dictionary to a DataFrame before appending
+                result_df = pd.DataFrame([result_row])
+                results.append(result_df)
                 
                 # Update progressive DataFrame and send update if callback is provided
-                progressive_df = pd.DataFrame(results)
+                progressive_df = pd.concat(results, ignore_index=True)
                 
                 # Send progressive update if callback is provided
                 if progressive_callback is not None:
@@ -406,6 +408,7 @@ def process_texts(
     
     # Create the metrics DataFrame
     if results:
+        # Results are already DataFrames, so we can concatenate them directly
         metrics_df = pd.concat(results, ignore_index=True)
     else:
         metrics_df = pd.DataFrame()