trying to improve annotation

annotation_gui.py

@@ -80,9 +80,13 @@ CANVAS_GLOBAL_JS = r"""
             boxes = [];
         }
 
-        const hiddenInput = document.getElementById('canvas-boxes-data');
+        const hiddenRoot = document.getElementById('canvas-boxes-data');
+        const hiddenInput = hiddenRoot
+            ? (hiddenRoot.querySelector('textarea, input') || hiddenRoot)
+            : null;
         const syncHidden = () => {
             if (!hiddenInput) return;
+            if (!('value' in hiddenInput)) return;
             hiddenInput.value = JSON.stringify(boxes);
             hiddenInput.dispatchEvent(new Event('input', { bubbles: true }));
         };
@@ -233,16 +237,23 @@ CANVAS_GLOBAL_JS = r"""
                 const y1 = Math.min(createStart.y, dragStart.y);
                 const x2 = Math.max(createStart.x, dragStart.x);
                 const y2 = Math.max(createStart.y, dragStart.y);
-                if (x2 - x1 > 10 && y2 - y1 > 10) {
-                    boxes.push({
-                        bbox: [x1, y1, x2, y2],
-                        label: 'knot',
-                        confidence: 1.0,
-                        source: 'manual',
-                    });
-                    syncHidden();
-                    redraw();
+                const w = x2 - x1;
+                const h = y2 - y1;
+                if (w > 10 && h > 10) {
+                    boxes.push({ bbox: [x1, y1, x2, y2], label: 'knot', confidence: 1.0, source: 'manual' });
+                } else {
+                    // Click without drag: create a default-size box around the click.
+                    const size = 120;
+                    const cx = createStart.x;
+                    const cy = createStart.y;
+                    const bx1 = Math.max(0, cx - size / 2);
+                    const by1 = Math.max(0, cy - size / 2);
+                    const bx2 = Math.min(displayWidth, cx + size / 2);
+                    const by2 = Math.min(displayHeight, cy + size / 2);
+                    boxes.push({ bbox: [bx1, by1, bx2, by2], label: 'knot', confidence: 1.0, source: 'manual' });
                 }
+                syncHidden();
+                redraw();
             }
 
             isDragging = false;
@@ -264,9 +275,13 @@ CANVAS_GLOBAL_JS = r"""
     const obs = new MutationObserver(() => scan());
     obs.observe(document.documentElement, { childList: true, subtree: true });
     window.addEventListener('load', () => scan());
-    setTimeout(() => scan(), 0);
-    setTimeout(() => scan(), 250);
-    setTimeout(() => scan(), 1000);
+  scan();
+  setTimeout(() => scan(), 0);
+  setTimeout(() => scan(), 100);
+  setTimeout(() => scan(), 250);
+  setTimeout(() => scan(), 500);
+  setTimeout(() => scan(), 1000);
+  setTimeout(() => scan(), 2000);
 })();
 """
 
@@ -536,7 +551,7 @@ class AnnotationApp:
         # Format as readable list
         lines = ["📂 Available Models:"]
         for i, model in enumerate(available_models, 1):
-            lines.append(f"{i}. {model['dir']} → {model['path'].name} ({model['type'].upper()})")
+            lines.append(f"{i}. {model['dir']} -> {model['path'].name} ({model['type'].upper()})")
         
         lines.append("\n💡 Use the Model Selector dropdown above to quickly switch models")
         return "\n".join(lines)
@@ -562,14 +577,14 @@ class AnnotationApp:
         
         return f"❌ Model '{model_display}' not found"
     
-    def load_new_images_dir(self, images_dir: str) -> tuple[str, str, str]:
+    def load_new_images_dir(self, images_dir: str) -> tuple[str, str, str, str]:
         """Load a new images directory from the GUI."""
         path = Path(images_dir)
         if not path.exists():
-            return "<div>Directory not found</div>", "", f"❌ Directory not found: {images_dir}"
+            return "<div>Directory not found</div>", "", "Image: -/-", f"❌ Directory not found: {images_dir}"
         
         if not path.is_dir():
-            return "<div>Not a directory</div>", "", f"❌ Not a directory: {images_dir}"
+            return "<div>Not a directory</div>", "", "Image: -/-", f"❌ Not a directory: {images_dir}"
         
         result = self._load_images(path)
         
@@ -578,11 +593,12 @@ class AnnotationApp:
             img, filename = self.get_current_image()
             boxes = self.annotations.get(filename, [])
             img_html = self.generate_interactive_canvas(boxes)
-            boxes_text = self._format_boxes_text(boxes)
-            info = f"{result}\nImage 1/{len(self.image_paths)}: {filename}"
-            return img_html, boxes_text, info
+            boxes_html = self._format_boxes_html(boxes)
+            image_label = self._current_image_label(filename)
+            status = result
+            return img_html, boxes_html, image_label, status
         else:
-            return "<div>No images found</div>", "", f"{result}\n⚠️ No .jpg or .png images found in directory"
+            return "<div>No images found</div>", "", "Image: -/-", f"{result}\n⚠️ No .jpg or .png images found in directory"
     
     def get_current_model_info(self) -> str:
         """Get info about currently loaded model."""
@@ -597,6 +613,12 @@ class AnnotationApp:
     def get_current_dir_info(self) -> str:
         """Get info about current images directory."""
         return f"📁 {self.images_dir} ({len(self.image_paths)} images)"
+
+    def _current_image_label(self, filename: str) -> str:
+        """Stable image index display (kept separate from status messages)."""
+        if not filename or not self.image_paths:
+            return "Image: -/-"
+        return f"Image {self.current_idx + 1}/{len(self.image_paths)}: {filename}"
     
     def get_current_image(self) -> tuple[Image.Image, str]:
         """Get current image and filename."""
@@ -671,30 +693,64 @@ class AnnotationApp:
             <textarea id="annotation-initial-boxes" style="display:none;">{boxes_escaped}</textarea>
             <div data-annotation-root="1" style="position: relative; width: {display_width}px; height: {display_height}px;">
                 <img id="annotation-img" src="data:image/png;base64,{img_base64}"
-                     style="position:absolute; left:0; top:0; width:{display_width}px; height:{display_height}px;" />
+                     style="position:absolute; left:0; top:0; width:{display_width}px; height:{display_height}px; z-index: 1;" />
                 <canvas id="annotation-canvas" width="{display_width}" height="{display_height}"
-                        style="position:absolute; left:0; top:0; width:{display_width}px; height:{display_height}px; cursor: crosshair; background: transparent;"></canvas>
+                        style="position:absolute; left:0; top:0; width:{display_width}px; height:{display_height}px; cursor: crosshair; background: transparent; z-index: 2; pointer-events: auto;"></canvas>
             </div>
         </div>
         """
         
         return html_out
     
-    def _format_boxes_text(self, boxes: list[dict]) -> str:
-        """Format boxes for display."""
+    def _format_boxes_html(self, boxes: list[dict]) -> str:
+        """Format boxes as HTML list with delete buttons."""
         if not boxes:
-            return "No annotations"
+            return "<div style='color: #999; font-style: italic;'>No annotations</div>"
         
-        lines = []
+        lines = ["<div style='font-family: monospace; font-size: 13px;'>"]
         for i, box in enumerate(boxes):
             x1, y1, x2, y2 = box["bbox"]
             conf = box.get("confidence", 1.0)
             source = box.get("source", "manual")
-            lines.append(f"{i}: [{x1:.0f}, {y1:.0f}, {x2:.0f}, {y2:.0f}] conf={conf:.2f} ({source})")
-        
-        return "\n".join(lines)
+            lines.append(
+                f"<div style='margin: 4px 0; padding: 4px; background: #f5f5f5; border-radius: 3px; display: flex; justify-content: space-between; align-items: center;'>"
+                f"<span style='flex: 1;'>{i}: [{x1:.0f},{y1:.0f},{x2:.0f},{y2:.0f}] {conf:.2f} ({source})</span>"
+                f"<button onclick='window.deleteBox({i})' style='background: #ff4444; color: white; border: none; padding: 2px 8px; border-radius: 3px; cursor: pointer; margin-left: 8px;'>✕</button>"
+                f"</div>"
+            )
+        lines.append("</div>")
+        return "".join(lines)
+
+    def _parse_boxes_text(self, text: str) -> list[dict] | None:
+        """Parse edited JSON from the Annotations textbox."""
+        if not text:
+            return None
+        try:
+            data = json.loads(text)
+        except json.JSONDecodeError:
+            return None
+        if not isinstance(data, list):
+            return None
+        cleaned: list[dict] = []
+        for item in data:
+            if not isinstance(item, dict) or "bbox" not in item:
+                continue
+            bbox = item.get("bbox")
+            if not (isinstance(bbox, list) and len(bbox) == 4):
+                continue
+            try:
+                x1, y1, x2, y2 = [float(v) for v in bbox]
+            except Exception:
+                continue
+            cleaned.append({
+                "bbox": [x1, y1, x2, y2],
+                "label": item.get("label", "knot"),
+                "confidence": float(item.get("confidence", 1.0)),
+                "source": item.get("source", "manual"),
+            })
+        return cleaned
     
-    def load_image(self, direction: str = "current") -> tuple[str, str, str]:
+    def load_image(self, direction: str = "current") -> tuple[str, str, str, str]:
         """Load image (current/next/prev)."""
         if direction == "next":
             self.current_idx = min(self.current_idx + 1, len(self.image_paths) - 1)
@@ -703,21 +759,21 @@ class AnnotationApp:
         
         img, filename = self.get_current_image()
         if not img:
-            return "<div>No images</div>", "", "No images"
+            return "<div>No images</div>", "", "Image: -/-", "No images"
         
         # Load existing annotations
         boxes = self.annotations.get(filename, [])
         img_html = self.generate_interactive_canvas(boxes)
-        boxes_text = self._format_boxes_text(boxes)
-        info = f"Image {self.current_idx + 1}/{len(self.image_paths)}: {filename}"
-        
-        return img_html, boxes_text, info
+        boxes_html = self._format_boxes_html(boxes)
+        image_label = self._current_image_label(filename)
+
+        return img_html, boxes_html, image_label, ""
     
-    def add_box_manual(self, x1: int, y1: int, x2: int, y2: int) -> tuple[str, str, str]:
+    def add_box_manual(self, x1: int, y1: int, x2: int, y2: int) -> tuple[str, str, str, str]:
         """Manually add a bounding box."""
         img, filename = self.get_current_image()
         if not img:
-            return "<div>No images</div>", "", "No images"
+            return "<div>No images</div>", "", "Image: -/-", "No images"
         
         # Add box
         box = {
@@ -735,16 +791,14 @@ class AnnotationApp:
         # Redraw
         boxes = self.annotations[filename]
         img_html = self.generate_interactive_canvas(boxes)
-        boxes_text = self._format_boxes_text(boxes)
-        info = f"✓ Added box: {len(boxes)} total | Image {self.current_idx + 1}/{len(self.image_paths)}: {filename}"
-        
-        return img_html, boxes_text, info
+        boxes_html = self._format_boxes_html(boxes)
+        return img_html, boxes_html, self._current_image_label(filename), f"✓ Added box: {len(boxes)} total"
     
-    def delete_last_box(self) -> tuple[str, str, str]:
+    def delete_last_box(self) -> tuple[str, str, str, str]:
         """Delete the last box from current image."""
         img, filename = self.get_current_image()
         if not img:
-            return "<div>No images</div>", "", "No images"
+            return "<div>No images</div>", "", "Image: -/-", "No images"
         
         if filename in self.annotations and self.annotations[filename]:
             self.annotations[filename].pop()
@@ -753,35 +807,50 @@ class AnnotationApp:
         # Redraw
         boxes = self.annotations.get(filename, [])
         img_html = self.generate_interactive_canvas(boxes)
-        boxes_text = self._format_boxes_text(boxes)
-        info = f"✓ Deleted last box: {len(boxes)} remaining | Image {self.current_idx + 1}/{len(self.image_paths)}: {filename}"
-        
-        return img_html, boxes_text, info
+        boxes_html = self._format_boxes_html(boxes)
+        return img_html, boxes_html, self._current_image_label(filename), f"✓ Deleted last box: {len(boxes)} remaining"
     
-    def clear_boxes(self) -> tuple[str, str, str]:
+    def delete_box_by_index(self, index: int) -> tuple[str, str, str, str]:
+        """Delete a specific box by index."""
+        img, filename = self.get_current_image()
+        if not img:
+            return "<div>No images</div>", "", "Image: -/-", "No images"
+        
+        boxes = self.annotations.get(filename, [])
+        if 0 <= index < len(boxes):
+            boxes.pop(index)
+            self.annotations[filename] = boxes
+            self._save_annotations()
+            img_html = self.generate_interactive_canvas(boxes)
+            boxes_html = self._format_boxes_html(boxes)
+            return img_html, boxes_html, self._current_image_label(filename), f"✓ Deleted box {index}"
+        else:
+            img_html = self.generate_interactive_canvas(boxes)
+            boxes_html = self._format_boxes_html(boxes)
+            return img_html, boxes_html, self._current_image_label(filename), "❌ Invalid box index"
+    
+    def clear_boxes(self) -> tuple[str, str, str, str]:
         """Clear all boxes from current image."""
         img, filename = self.get_current_image()
         if not img:
-            return "<div>No images</div>", "", "No images"
+            return "<div>No images</div>", "", "Image: -/-", "No images"
         
         self.annotations[filename] = []
         self._save_annotations()
         
         boxes = []
         img_html = self.generate_interactive_canvas(boxes)
-        boxes_text = "No annotations"
-        info = f"✓ Cleared all boxes | Image {self.current_idx + 1}/{len(self.image_paths)}: {filename}"
-        
-        return img_html, boxes_text, info
+        boxes_html = self._format_boxes_html(boxes)
+        return img_html, boxes_html, self._current_image_label(filename), "✓ Cleared all boxes"
     
-    def auto_label_current(self, threshold: float = 0.5) -> tuple[str, str, str]:
+    def auto_label_current(self, threshold: float = 0.5) -> tuple[str, str, str, str]:
         """Auto-label current image using loaded model."""
         if not self.model:
-            return "<div>No model loaded</div>", "", "❌ No model loaded"
+            return "<div>No model loaded</div>", "", "Image: -/-", "❌ No model loaded"
         
         img, filename = self.get_current_image()
         if not img:
-            return "<div>No images</div>", "", "No images"
+            return "<div>No images</div>", "", "Image: -/-", "No images"
         
         try:
             # Run inference based on model type
@@ -828,40 +897,37 @@ class AnnotationApp:
             
             # Redraw
             img_html = self.generate_interactive_canvas(self.annotations[filename])
-            boxes_text = self._format_boxes_text(self.annotations[filename])
-            info = f"🤖 Auto-labeled: {len(boxes)} detections | Image {self.current_idx + 1}/{len(self.image_paths)}: {filename}"
-            
-            return img_html, boxes_text, info
+            boxes_html = self._format_boxes_html(self.annotations[filename])
+            return img_html, boxes_html, self._current_image_label(filename), f"🤖 Auto-labeled: {len(boxes)} detections"
             
         except Exception as e:
             boxes = self.annotations.get(filename, [])
             img_html = self.generate_interactive_canvas(boxes)
-            return img_html, self._format_boxes_text(boxes), f"❌ Auto-label failed: {e}"
+            return img_html, self._format_boxes_html(boxes), self._current_image_label(filename), f"❌ Auto-label failed: {e}"
     
-    def save_canvas_changes(self, boxes_json: str) -> tuple[str, str, str]:
-        """Save changes made in the interactive canvas."""
+    def save_canvas_changes(self, boxes_json: str) -> tuple[str, str, str, str]:
+        """Auto-save changes made in the canvas."""
         img, filename = self.get_current_image()
         if not img:
-            return "<div>No images</div>", "", "No images"
-        
+            return "<div>No images</div>", "", "Image: -/-", "No images"
+
         try:
-            # Parse the boxes from JSON
             if boxes_json:
                 boxes = json.loads(boxes_json)
                 self.annotations[filename] = boxes
                 self._save_annotations()
-                info = f"✓ Saved {len(boxes)} boxes | Image {self.current_idx + 1}/{len(self.image_paths)}: {filename}"
+                status = ""
             else:
                 boxes = self.annotations.get(filename, [])
-                info = f"✓ No changes to save | Image {self.current_idx + 1}/{len(self.image_paths)}: {filename}"
+                status = ""
         except json.JSONDecodeError:
             boxes = self.annotations.get(filename, [])
-            info = f"❌ Invalid boxes data | Image {self.current_idx + 1}/{len(self.image_paths)}: {filename}"
-        
+            status = "❌ Invalid canvas data"
+
         img_html = self.generate_interactive_canvas(boxes)
-        boxes_text = self._format_boxes_text(boxes)
-        
-        return img_html, boxes_text, info
+        boxes_html = self._format_boxes_html(boxes)
+
+        return img_html, boxes_html, self._current_image_label(filename), status
     
     def _save_annotations(self):
         """Save annotations to JSON file."""
@@ -1089,7 +1155,7 @@ class AnnotationApp:
                     self.training_process.wait()
                     
                     if self.training_process.returncode == 0:
-                        self.training_status = "✅ Training completed successfully!"
+                        self.training_status = "[OK] Training completed successfully!"
                         # Reload model with new weights
                         if framework == "RF-DETR":
                             # RF-DETR uses checkpoint_best_total.pth
@@ -1229,7 +1295,7 @@ class AnnotationApp:
                     return (
                         f"✓ {model_type.upper()} exported to ONNX!\n"
                         f"📁 Output: {output_path}\n"
-                        f"🔗 Next: Convert ONNX → RVC using HubAI (online) or ModelConverter (offline).\n"
+                        f"Next: Convert ONNX -> RVC using HubAI (online) or ModelConverter (offline).\n"
                         f"Docs: https://docs.luxonis.com/software-v3/ai-inference/conversion/\n"
                         f"💡 Offline conversion: Use Luxonis ModelConverter with Docker\n"
                         f"⚠️  OpenVINO export not available: {str(e)}"
@@ -1245,8 +1311,8 @@ def create_ui(app: AnnotationApp) -> gr.Blocks:
     
     with gr.Blocks(title="Knot Annotation Tool") as demo:
         gr.Markdown("""
-        # 🪵 Wood Knot Annotation Tool
-        **Label → Train → Auto-Label → Repeat**
+        # Wood Knot Annotation Tool
+        **Label -> Train -> Auto-Label -> Repeat**
         
         - Manually annotate images or use **Auto-Label** with your trained model
         - Export and prepare dataset for training
@@ -1256,7 +1322,7 @@ def create_ui(app: AnnotationApp) -> gr.Blocks:
         """)
         
         # Settings section at the top
-        with gr.Accordion("⚙️ Settings", open=False):
+        with gr.Accordion("Settings", open=False):
             with gr.Row():
                 with gr.Column():
                     images_dir_input = gr.Textbox(
@@ -1307,7 +1373,6 @@ def create_ui(app: AnnotationApp) -> gr.Blocks:
                     prev_btn = gr.Button("⬅️ Previous")
                     next_btn = gr.Button("Next ➡️")
                     auto_label_btn = gr.Button("🤖 Auto-Label", variant="primary")
-                    save_canvas_btn = gr.Button("💾 Save Canvas Changes")
                 
                 # Hidden textbox to store canvas boxes data
                 canvas_boxes_data = gr.Textbox(visible=False, elem_id="canvas-boxes-data")
@@ -1316,8 +1381,10 @@ def create_ui(app: AnnotationApp) -> gr.Blocks:
                     threshold_slider = gr.Slider(0.1, 0.9, DEFAULT_DETECTION_THRESHOLD, label="Detection Threshold")
             
             with gr.Column(scale=1):
+                image_index_text = gr.Textbox(label="Image", lines=1, interactive=False)
                 info_text = gr.Textbox(label="Status", lines=2)
-                boxes_text = gr.Textbox(label="Annotations", lines=10)
+                boxes_html = gr.HTML(label="Annotations")
+                delete_box_index = gr.Number(visible=False, value=-1)
                 
                 gr.Markdown("### Manual Annotation")
                 with gr.Row():
@@ -1336,11 +1403,11 @@ def create_ui(app: AnnotationApp) -> gr.Blocks:
                     label="Export Path",
                     value="annotations_coco.json"
                 )
-                export_btn = gr.Button("💾 Export COCO")
+                export_btn = gr.Button("Export COCO")
                 export_result = gr.Textbox(label="Export Result", lines=1)
         
         # Training tab
-        with gr.Tab("🎯 Training"):
+        with gr.Tab("Training"):
             gr.Markdown("""
             ### Train Object Detection Model
             
@@ -1350,7 +1417,7 @@ def create_ui(app: AnnotationApp) -> gr.Blocks:
             - **YOLOv6** (MIT): Fast, proven on OAK cameras
             - **YOLOX** (MIT): Similar to YOLOv6, slight differences
             
-            **All MIT/Apache 2.0 licensed - free for commercial use!** ✅
+            **All MIT/Apache 2.0 licensed - free for commercial use!**
             
             **Steps:**
             1. Annotate at least 50-100 images in the Annotation tab
@@ -1492,7 +1559,7 @@ def create_ui(app: AnnotationApp) -> gr.Blocks:
         load_images_btn.click(
             app.load_new_images_dir,
             inputs=[images_dir_input],
-            outputs=[image_display, boxes_text, info_text]
+            outputs=[image_display, boxes_html, image_index_text, info_text]
         ).then(
             lambda: (app.get_current_dir_info(), app.get_current_model_info()),
             outputs=[dir_info, model_info]
@@ -1526,47 +1593,48 @@ def create_ui(app: AnnotationApp) -> gr.Blocks:
         
         prev_btn.click(
             lambda: app.load_image("prev"),
-            outputs=[image_display, boxes_text, info_text]
+            outputs=[image_display, boxes_html, image_index_text, info_text]
         )
         
         next_btn.click(
             lambda: app.load_image("next"),
-            outputs=[image_display, boxes_text, info_text]
+            outputs=[image_display, boxes_html, image_index_text, info_text]
         )
         
         auto_label_btn.click(
             lambda t: app.auto_label_current(t),
             inputs=[threshold_slider],
-            outputs=[image_display, boxes_text, info_text]
+            outputs=[image_display, boxes_html, image_index_text, info_text]
         )
         
-        save_canvas_btn.click(
+        # Auto-save when canvas changes
+        canvas_boxes_data.change(
             app.save_canvas_changes,
             inputs=[canvas_boxes_data],
-            outputs=[image_display, boxes_text, info_text],
-            js="""() => {
-                const hiddenInput = document.getElementById('canvas-boxes-data');
-                if (hiddenInput) {
-                    return hiddenInput.value;
-                }
-                return '';
-            }"""
+            outputs=[image_display, boxes_html, image_index_text, info_text]
+        )
+        
+        # Delete box handler (called from HTML button clicks via JS)
+        delete_box_index.change(
+            lambda idx: app.delete_box_by_index(int(idx)) if idx >= 0 else (None, None, None, None),
+            inputs=[delete_box_index],
+            outputs=[image_display, boxes_html, image_index_text, info_text]
         )
         
         add_box_btn.click(
             app.add_box_manual,
             inputs=[x1_input, y1_input, x2_input, y2_input],
-            outputs=[image_display, boxes_text, info_text]
+            outputs=[image_display, boxes_html, image_index_text, info_text]
         )
         
         delete_btn.click(
             app.delete_last_box,
-            outputs=[image_display, boxes_text, info_text]
+            outputs=[image_display, boxes_html, image_index_text, info_text]
         )
         
         clear_btn.click(
             app.clear_boxes,
-            outputs=[image_display, boxes_text, info_text]
+            outputs=[image_display, boxes_html, image_index_text, info_text]
         )
         
         export_btn.click(
@@ -1614,7 +1682,7 @@ def create_ui(app: AnnotationApp) -> gr.Blocks:
         )
         
         # Load first image on start
-        demo.load(on_load, outputs=[image_display, boxes_text, info_text])
+        demo.load(on_load, outputs=[image_display, boxes_html, image_index_text, info_text])
     
     return demo
 
@@ -1674,10 +1742,24 @@ def main():
     print(f"💡 You can change images directory and model weights from the Settings panel")
     print(f"{'='*60}\n")
     
+    # Combine canvas JS with delete button handler
+    combined_js = CANVAS_GLOBAL_JS + r"""
+// Wire delete buttons to hidden number input
+window.deleteBox = function(index) {
+  const hiddenInput = document.querySelector('input[type=number][style*=display], input[type=number].\\!hidden');
+  if (hiddenInput) {
+    hiddenInput.value = index;
+    hiddenInput.dispatchEvent(new Event('input', { bubbles: true }));
+    // Reset after triggering
+    setTimeout(() => { hiddenInput.value = -1; }, 100);
+  }
+};
+"""
+    
     demo.launch(
         server_name="0.0.0.0",
         server_port=args.port,
-        js=CANVAS_GLOBAL_JS,
+        js=combined_js,
         share=False
     )