Update src/ui_components_original.py

src/ui_components_original.py

@@ -184,9 +184,10 @@ def standalone_run_analysis(
             'additional_notes': notes
         }
 
-        # Include manual annotation (mask) in questionnaire for AI
-        if manual_annotation is not None:
+        # Attach manual annotation mask if provided
+        if manual_annotation:
             q_for_ai['manual_mask'] = manual_annotation
+
         # Run AI
         analysis_result = wound_analyzer.analyze_wound(img_path, q_for_ai)
         if not analysis_result or not analysis_result.get("success"):
@@ -673,9 +674,9 @@ button.gr-button:hover, button.gr-button-primary:hover {
                                 with gr.Column(scale=1):
                                     gr.HTML("<h3>📸 Wound Image</h3>")
                                     wound_image = gr.Image(label="Upload Wound Image", type="filepath")
-                                    # Manual annotation field: user can draw wound boundary if model fails
+                                    # Optional manual wound mask upload
                                     gr.HTML("<h3>✏️ Manual Annotation (optional)</h3>")
-                                    manual_annotation = gr.Image(label="Draw wound boundary", tool="sketch", type="pil", interactive=True)
+                                    manual_annotation = gr.Image(label="Upload Manual Wound Mask", type="filepath")
                                     gr.HTML("<h3>📝 Medical History</h3>")
                                     previous_treatment = gr.Textbox(label="Previous Treatment", lines=3)
                                     medical_history = gr.Textbox(label="Medical History", lines=3)
@@ -871,22 +872,6 @@ button.gr-button:hover, button.gr-button-primary:hover {
                 outputs=[new_patient_group, existing_patient_dd]
             )
 
-            # Keep manual annotation preview in sync with uploaded image
-            def _update_annotation_preview(path):
-                try:
-                    if not path:
-                        return None
-                    from PIL import Image
-                    return Image.open(path).convert("RGB")
-                except Exception:
-                    return None
-
-            wound_image.change(
-                _update_annotation_preview,
-                inputs=[wound_image],
-                outputs=[manual_annotation]
-            )
-
             # --- IMPORTANT: call standalone GPU function via lambda to pass instance/ctx ---
             analyze_btn.click(
                 fn=lambda mode, ex_lbl, np_n, np_a, np_g, wl, wd, p, m, i, d, pt, mh, med, al, nt, img, annot: \