Commented out lines for demo

app.py

@@ -591,28 +591,28 @@ def build_patient_summary(chat_history: List[Tuple[str, str]], meta: Dict[str, A
 
     lines = []
     lines.append("# Summary for Patient\n")
-    if total is not None and severity:
-        lines.append(f"- PHQ‑9 Total: **{total}**  ")
-        lines.append(f"- Severity: **{severity}**\n")
-
-    # Highlights: show one quote per item if available
-    if exp_full and isinstance(exp_full, dict):
-        items = exp_full.get("items", [])
-        if isinstance(items, list) and items:
-            lines.append("### Highlights from our conversation\n")
-            for it in items:
-                item = it.get("item")
-                ev = it.get("evidence", [])
-                if item and ev:
-                    lines.append(f"- {item}: \"{ev[0]}\"")
-            lines.append("")
-
-    if reflection:
-        note = reflection.get("notes")
-        if note:
-            lines.append("### Reflection\n")
-            lines.append(note)
-            lines.append("")
+    # if total is not None and severity:
+    #     lines.append(f"- PHQ‑9 Total: **{total}**  ")
+    #     lines.append(f"- Severity: **{severity}**\n")
+
+    # # Highlights: show one quote per item if available
+    # if exp_full and isinstance(exp_full, dict):
+    #     items = exp_full.get("items", [])
+    #     if isinstance(items, list) and items:
+    #         lines.append("### Highlights from our conversation\n")
+    #         for it in items:
+    #             item = it.get("item")
+    #             ev = it.get("evidence", [])
+    #             if item and ev:
+    #                 lines.append(f"- {item}: \"{ev[0]}\"")
+    #         lines.append("")
+
+    # if reflection:
+    #     note = reflection.get("notes")
+    #     if note:
+    #         lines.append("### Reflection\n")
+    #         lines.append(note)
+    #         lines.append("")
 
     lines.append("### Conversation Transcript\n\n")
     lines.append(f"```\n{transcript_text}\n```")
@@ -642,25 +642,25 @@ def build_clinician_summary(chat_history: List[Tuple[str, str]], meta: Dict[str,
     md.append("")
     md.append("### Item Scores\n" + scores_lines + "\n")
 
-    # Confidence bars
-    if confidences:
-        bars = []
-        for i, k in enumerate(scores.keys()):
-            c = confidences[i] if i < len(confidences) else 0.0
-            bar_len = int(round(c * 20))
-            bars.append(f"- {k}: [{'#'*bar_len}{'.'*(20-bar_len)}] {c:.2f}")
-        md.append("### Confidence by item\n" + "\n".join(bars) + "\n")
-
-    # Light explainability snapshot
-    if exp_light:
-        strength = exp_light.get("evidence_strength", {})
-        recommended = exp_light.get("recommended_focus")
-        if strength:
-            md.append("### Evidence strength (light)\n")
-            md.extend([f"- {k}: {v}" for k, v in strength.items()])
-            md.append("")
-        if recommended:
-            md.append(f"- Next focus (if continuing): **{recommended}**\n")
+    # # Confidence bars
+    # if confidences:
+    #     bars = []
+    #     for i, k in enumerate(scores.keys()):
+    #         c = confidences[i] if i < len(confidences) else 0.0
+    #         bar_len = int(round(c * 20))
+    #         bars.append(f"- {k}: [{'#'*bar_len}{'.'*(20-bar_len)}] {c:.2f}")
+    #     md.append("### Confidence by item\n" + "\n".join(bars) + "\n")
+
+    # # Light explainability snapshot
+    # if exp_light:
+    #     strength = exp_light.get("evidence_strength", {})
+    #     recommended = exp_light.get("recommended_focus")
+    #     if strength:
+    #         md.append("### Evidence strength (light)\n")
+    #         md.extend([f"- {k}: {v}" for k, v in strength.items()])
+    #         md.append("")
+    #     if recommended:
+    #         md.append(f"- Next focus (if continuing): **{recommended}**\n")
 
     # Full explainability excerpts
     if exp_full and isinstance(exp_full, dict):
@@ -681,8 +681,8 @@ def build_clinician_summary(chat_history: List[Tuple[str, str]], meta: Dict[str,
                     pd = ed.get("prosody_descriptors", [])
                     if q:
                         md.append(f"  - Turn {t}: \"{q}\" ({', '.join(pd)})")
-                if pros:
-                    md.append(f"  - session prosody: {', '.join([str(p) for p in pros[:4]])}")
+                # if pros:
+                #     md.append(f"  - session prosody: {', '.join([str(p) for p in pros[:4]])}")
         md.append("")
 
     # Reflection summary