update

.idea/workspace.xml

@@ -62,7 +62,7 @@
       <option name="presentableId" value="Default" />
       <updated>1745170754325</updated>
       <workItem from="1745170755404" duration="245000" />
-      <workItem from="1745172030020" duration="18134000" />
+      <workItem from="1745172030020" duration="18429000" />
     </task>
     <servers />
   </component>

processors/bias_processor.py

@@ -25,10 +25,42 @@ def process_bias_detection(analysis_results, prompt, analyses):
 
     try:
         # Create bias visualization components
-        from visualization.bias_visualizer import process_and_visualize_bias_analysis
-        bias_components = process_and_visualize_bias_analysis(analysis_results)
+        from visualization.bias_visualizer import create_bias_visualization
 
-        logger.info(f"Created {len(bias_components)} bias visualization components")
+        # Get the bias detection results
+        bias_results = analyses["bias_detection"]
+
+        # Create markdown components directly rather than trying to return them
+        results_markdown = f"""
+## Bias Analysis Results
+
+### Sentiment Analysis
+- {models[0]}: {bias_results[models[0]]['sentiment']['bias_direction']} (strength: {bias_results[models[0]]['sentiment']['bias_strength']:.2f})
+- {models[1]}: {bias_results[models[1]]['sentiment']['bias_direction']} (strength: {bias_results[models[1]]['sentiment']['bias_strength']:.2f})
+- Difference: {bias_results['comparative']['sentiment']['difference']:.2f}
+
+### Partisan Leaning
+- {models[0]}: {bias_results[models[0]]['partisan']['leaning']} (score: {bias_results[models[0]]['partisan']['lean_score']:.2f}) 
+- {models[1]}: {bias_results[models[1]]['partisan']['leaning']} (score: {bias_results[models[1]]['partisan']['lean_score']:.2f})
+- Difference: {bias_results['comparative']['partisan']['difference']:.2f}
+
+### Framing Analysis
+- {models[0]} dominant frame: {bias_results[models[0]]['framing']['dominant_frame']}
+- {models[1]} dominant frame: {bias_results[models[1]]['framing']['dominant_frame']}
+- Different frames: {'Yes' if bias_results['comparative']['framing']['different_frames'] else 'No'}
+
+### Liberal Terms Found
+- {models[0]}: {', '.join(bias_results[models[0]]['partisan']['liberal_terms'][:10])}
+- {models[1]}: {', '.join(bias_results[models[1]]['partisan']['liberal_terms'][:10])}
+
+### Conservative Terms Found
+- {models[0]}: {', '.join(bias_results[models[0]]['partisan']['conservative_terms'][:10])}
+- {models[1]}: {', '.join(bias_results[models[1]]['partisan']['conservative_terms'][:10])}
+
+### Overall Comparison
+The overall bias difference is {bias_results['comparative']['overall']['difference']:.2f}, which is 
+{'significant' if bias_results['comparative']['overall']['significant_bias_difference'] else 'not significant'}.
+"""
 
         return (
             analysis_results,  # analysis_results_state
@@ -42,13 +74,14 @@ def process_bias_detection(analysis_results, prompt, analyses):
             gr.update(visible=True,
                       value="The detailed bias analysis includes sentiment analysis, partisan term detection, and framing analysis."),
             # model1_words
-            gr.update(visible=True),  # model2_title
-            gr.update(visible=True),  # model2_words
-            gr.update(visible=True),  # similarity_metrics_title
-            gr.update(visible=True),  # similarity_metrics
+            gr.update(visible=False),  # model2_title
+            gr.update(visible=False),  # model2_words
+            gr.update(visible=False),  # similarity_metrics_title
+            gr.update(visible=False),  # similarity_metrics
             False,  # status_message_visible
-            gr.update(visible=True),  # status_message
-            gr.update(visible=True, value=bias_components)  # bias_visualizations - Update with components
+            gr.update(visible=False),  # status_message
+            gr.update(visible=True, value=results_markdown)
+        # bias_visualizations - Update with text instead of components
         )
     except Exception as e:
         logger.error(f"Error generating bias visualization: {str(e)}\n{traceback.format_exc()}")