chore(ui): temporarily disable MedSAM overlay to prevent page crashes

app.py

@@ -576,8 +576,10 @@ def analyze(image):
                 log("analyze: chart classification error")
                 traceback.print_exc()
 
-        # Element Detection
-        if element_model is not None:
+        is_medical = str(result.get("chart_type_label", "")).strip().lower() == "medical image"
+
+        # Element Detection (skip for medical images)
+        if element_model is not None and not is_medical:
             try:
                 np_img = np.array(image.convert("RGB"))[:, :, ::-1]
                 element_result = inference_detector(element_model, np_img)
@@ -595,9 +597,11 @@ def analyze(image):
             except Exception:
                 log("analyze: element detection error")
                 traceback.print_exc()
+        elif is_medical:
+            result["element_result"] = "skipped for medical image"
 
-        # Datapoint Segmentation
-        if datapoint_model is not None:
+        # Datapoint Segmentation (skip for medical images)
+        if datapoint_model is not None and not is_medical:
             try:
                 np_img = np.array(image.convert("RGB"))[:, :, ::-1]
                 datapoint_result = inference_detector(datapoint_model, np_img)
@@ -615,6 +619,8 @@ def analyze(image):
             except Exception:
                 log("analyze: datapoint segmentation error")
                 traceback.print_exc()
+        elif is_medical:
+            result["datapoint_result"] = "skipped for medical image"
 
         # MedSAM availability info
         try:
@@ -685,9 +691,9 @@ def analyze_with_medsam(base_result, image):
         }
         log(f"analyze_with_medsam: segments={len(segmentations)}")
 
-        overlay_img = _overlay_masks_on_image(pil_img, masks_for_overlay) if masks_for_overlay else None
-        log("analyze_with_medsam: end")
-        return base_result, overlay_img
+        # Overlay disabled for stability
+        log("analyze_with_medsam: end (overlay disabled)")
+        return base_result, None
     except Exception:
         log("analyze_with_medsam: fatal error")
         traceback.print_exc()