Update app.py

app.py

@@ -454,7 +454,7 @@ def detect_semantic_inversions(logprobs, tokens):
         return "No semantic inversions detected.", None
     return "Semantic inversions detected:", inversions
 
-# Function to perform full trace analysis
+# Function to perform full trace analysis (FIXED)
 def analyze_full_trace(json_input):
     try:
         data = parse_input(json_input)
@@ -480,24 +480,25 @@ def analyze_full_trace(json_input):
 
         confidence_result, confidence_data = analyze_confidence_signature(logprobs, tokens)
         pivot_result, pivot_data = detect_interpretation_pivots(logprobs, tokens)
-        entropy_result, entropy_data = calculate_decision_entropy(logprobs)
+        entropy_result, entropy_data = calculate_decision_entropy(logprobs, tokens)  # Pass tokens explicitly
         conclusion_result, conclusion_data = analyze_conclusion_competition(logprobs, tokens)
         verification_result, verification_data = analyze_verification_signals(logprobs, tokens)
         inversion_result, inversion_data = detect_semantic_inversions(logprobs, tokens)
 
+        # Updated HTML formatting to correctly unpack tuples and display all data
         analysis_html = f"""
         <h3>Trace Analysis Results</h3>
         <ul>
             <li><strong>Confidence Signature:</strong> {confidence_result}</li>
-            {f"<ul><li>Positions: {', '.join(str(pos) for pos, tok in confidence_data)}</li></ul>" if confidence_data else ""}
+            {f"<ul><li>Details: {', '.join(f'Position: {pos}, Drop: {drop:.4f}, Token: {tok}' for pos, drop, tok in confidence_data)}</li></ul>" if confidence_data else ""}
             <li><strong>Interpretation Pivots:</strong> {pivot_result}</li>
-            {f"<ul><li>Positions: {', '.join(str(pos) for pos, _, _ in pivot_data)}</li></ul>" if pivot_data else ""}
+            {f"<ul><li>Details: {', '.join(f'Position: {pos}, Reconsideration: {rt}, Context: {\" \".join(context)}' for pos, rt, context in pivot_data)}</li></ul>" if pivot_data else ""}
             <li><strong>Decision Entropy Spikes:</strong> {entropy_result}</li>
-            {f"<ul><li>Positions: {', '.join(str(pos) for pos in entropy_data)}</li></ul>" if entropy_data else ""}
+            {f"<ul><li>Details: {', '.join(f'Position: {idx}, Entropy: {entropy:.4f}, Token: {tok}' for idx, entropy, tok in entropy_data)}</li></ul>" if entropy_data else ""}
             <li><strong>Conclusion Competition:</strong> {conclusion_result}</li>
             <li><strong>Verification Signals:</strong> {verification_result}</li>
             <li><strong>Semantic Inversions:</strong> {inversion_result}</li>
-            {f"<ul><li>Positions: {', '.join(str(pos) for pos, _, _, _ in inversion_data)}</li></ul>" if inversion_data else ""}
+            {f"<ul><li>Details: {', '.join(f'Position: {pos}, Positive: {pos_word}, Negative: {neg_word}, Probability: {prob:.4f}' for pos, pos_word, neg_word, prob in inversion_data)}</li></ul>" if inversion_data else ""}
         </ul>
         """
         return analysis_html, None, None, None, None, None