fix loss and matrix event, remove examples

app.ipynb

@@ -447,7 +447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "a48e7483-c04b-4048-a1ae-34a8c7986a57",
    "metadata": {},
    "outputs": [
@@ -496,18 +496,27 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Keyboard interruption in main thread... closing server.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "#| export\n",
     "example_images = [ 'cheetah.jpg', 'jaguar.jpg', 'tiger.jpg', 'cougar.jpg', 'lion.jpg', 'african leopard.jpg', 'clouded leopard.jpg', 'snow leopard.jpg', 'hidden.png', 'hidden2.png' ]\n",
     "\n",
-    "model_matrix = [ 'models/resnet101-confusion-matrix.png', 'models/resnet18-confusion-matrix.png',  'models/resnet50-confusion-matrix.png',\n",
-    "'models/resnet152-confusion-matrix.png', 'models/resnet34-confusion-matrix.png' ]\n",
-    "\n",
-    "model_losses = [ 'models/resnet101-top-losses.png', 'models/resnet18-top-losses.png',  'models/resnet50-top-losses.png',\n",
-    "'models/resnet152-top-losses.png', 'models/resnet34-top-losses.png' ]\n",
-    "\n",
     "demo = gr.Blocks()\n",
     "with demo:\n",
     "    with gr.Column(variant=\"panel\"):\n",
@@ -521,13 +530,13 @@
     "            losses=gr.outputs.Image(type='filepath', label=\"Top Losses\")\n",
     "        result = gr.outputs.Label(label=\"Result\")\n",
     "        \n",
-    "    model.change(fn=select_model, inputs=model, outputs=selected)\n",
     "    btnClassify.click(fn=classify_image, inputs=image, outputs=result)\n",
     "    img_gallery = gr.Examples(examples=example_images, inputs=image)\n",
-    "    matrix_gallery = gr.Examples(examples=model_matrix, label='Models Confusion Matrix', inputs=matrix)\n",
-    "    loss_gallery = gr.Examples(examples=model_losses, label='Models Top Losses', inputs=losses)\n",
-    "    result.change(fn=update_matrix, outputs=matrix)\n",
-    "    result.change(fn=update_losses, outputs=losses)\n",
+    "\n",
+    "    # Register all ev\n",
+    "    model.change(fn=select_model, inputs=model, outputs=selected)\n",
+    "    model.change(fn=update_matrix, outputs=matrix)\n",
+    "    model.change(fn=update_losses, outputs=losses)\n",
     "\n",
     "demo.launch(debug=True, inline=False)\n",
     "    # intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example_images, title=title, description=description )\n",
@@ -537,15 +546,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "cab071f9-7c3b-4b35-a0d1-3687731ffce5",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Export successful\n"
+     ]
+    }
+   ],
    "source": [
     "import nbdev\n",
     "nbdev.export.nb_export('app.ipynb', './')\n",
     "print('Export successful')"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "95f0e7ec-edd2-4afa-a68f-7da8b85b1f61",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

app.py

@@ -1,8 +1,8 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
 
 # %% auto 0
-__all__ = ['title', 'description', 'learners', 'models', 'active_name', 'active_model', 'example_images', 'model_matrix',
-           'model_losses', 'demo', 'classify_image', 'select_model', 'update_matrix', 'update_losses']
+__all__ = ['title', 'description', 'learners', 'models', 'active_name', 'active_model', 'example_images', 'demo',
+           'classify_image', 'select_model', 'update_matrix', 'update_losses']
 
 # %% app.ipynb 1
 from fastai.vision.all import *
@@ -50,12 +50,6 @@ def update_losses():
 # %% app.ipynb 5
 example_images = [ 'cheetah.jpg', 'jaguar.jpg', 'tiger.jpg', 'cougar.jpg', 'lion.jpg', 'african leopard.jpg', 'clouded leopard.jpg', 'snow leopard.jpg', 'hidden.png', 'hidden2.png' ]
 
-model_matrix = [ 'models/resnet101-confusion-matrix.png', 'models/resnet18-confusion-matrix.png',  'models/resnet50-confusion-matrix.png',
-'models/resnet152-confusion-matrix.png', 'models/resnet34-confusion-matrix.png' ]
-
-model_losses = [ 'models/resnet101-top-losses.png', 'models/resnet18-top-losses.png',  'models/resnet50-top-losses.png',
-'models/resnet152-top-losses.png', 'models/resnet34-top-losses.png' ]
-
 demo = gr.Blocks()
 with demo:
     with gr.Column(variant="panel"):
@@ -69,13 +63,13 @@ with demo:
             losses=gr.outputs.Image(type='filepath', label="Top Losses")
         result = gr.outputs.Label(label="Result")
         
-    model.change(fn=select_model, inputs=model, outputs=selected)
     btnClassify.click(fn=classify_image, inputs=image, outputs=result)
     img_gallery = gr.Examples(examples=example_images, inputs=image)
-    matrix_gallery = gr.Examples(examples=model_matrix, label='Models Confusion Matrix', inputs=matrix)
-    loss_gallery = gr.Examples(examples=model_losses, label='Models Top Losses', inputs=losses)
-    result.change(fn=update_matrix, outputs=matrix)
-    result.change(fn=update_losses, outputs=losses)
+
+    # Register all ev
+    model.change(fn=select_model, inputs=model, outputs=selected)
+    model.change(fn=update_matrix, outputs=matrix)
+    model.change(fn=update_losses, outputs=losses)
 
 demo.launch(debug=True, inline=False)
     # intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example_images, title=title, description=description )