model selection and confirmation

app.ipynb

@@ -438,7 +438,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "a48e7483-c04b-4048-a1ae-34a8c7986a57",
    "metadata": {},
    "outputs": [
@@ -451,83 +451,6 @@
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Traceback (most recent call last):\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/gradio/routes.py\", line 321, in run_predict\n",
-      "    output = await app.blocks.process_api(\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/gradio/blocks.py\", line 1015, in process_api\n",
-      "    result = await self.call_function(fn_index, inputs, iterator, request)\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/gradio/blocks.py\", line 856, in call_function\n",
-      "    prediction = await anyio.to_thread.run_sync(\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/anyio/to_thread.py\", line 31, in run_sync\n",
-      "    return await get_asynclib().run_sync_in_worker_thread(\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/anyio/_backends/_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
-      "    return await future\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/anyio/_backends/_asyncio.py\", line 867, in run\n",
-      "    result = context.run(func, *args)\n",
-      "  File \"/var/folders/jk/w8lkkz7n40s81208_5_qd5_80000gn/T/ipykernel_3681/233086315.py\", line 5, in classify_image\n",
-      "    pred,idx,probs = learn.predict(img)\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/fastai/learner.py\", line 312, in predict\n",
-      "    dl = self.dls.test_dl([item], rm_type_tfms=rm_type_tfms, num_workers=0)\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/fastai/data/core.py\", line 532, in test_dl\n",
-      "    test_ds = test_set(self.valid_ds, test_items, rm_tfms=rm_type_tfms, with_labels=with_labels\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/fastai/data/core.py\", line 511, in test_set\n",
-      "    if rm_tfms is None: rm_tfms = [tl.infer_idx(get_first(test_items)) for tl in test_tls]\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/fastai/data/core.py\", line 511, in <listcomp>\n",
-      "    if rm_tfms is None: rm_tfms = [tl.infer_idx(get_first(test_items)) for tl in test_tls]\n",
-      "  File \"/Users/ajithj/Library/Python/3.8/lib/python/site-packages/fastai/data/core.py\", line 405, in infer_idx\n",
-      "    assert idx < len(self.types), f\"Expected an input of type in \\n{pretty_types}\\n but got {type(x)}\"\n",
-      "AssertionError: Expected an input of type in \n",
-      "  - <class 'pathlib.PosixPath'>\n",
-      "  - <class 'pathlib.Path'>\n",
-      "  - <class 'str'>\n",
-      "  - <class 'torch.Tensor'>\n",
-      "  - <class 'numpy.ndarray'>\n",
-      "  - <class 'bytes'>\n",
-      "  - <class 'fastai.vision.core.PILImage'>\n",
-      " but got <class 'NoneType'>\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<style>\n",
-       "    /* Turns off some styling */\n",
-       "    progress {\n",
-       "        /* gets rid of default border in Firefox and Opera. */\n",
-       "        border: none;\n",
-       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
-       "        background-size: auto;\n",
-       "    }\n",
-       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
-       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
-       "    }\n",
-       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
-       "        background: #F44336;\n",
-       "    }\n",
-       "</style>\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "text/html": [
@@ -601,21 +524,6 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Keyboard interruption in main thread... closing server.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": []
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -627,11 +535,12 @@
     "    with gr.Column(variant=\"panel\"):\n",
     "        image = gr.inputs.Image(label=\"Pick an image\")\n",
     "        model = gr.inputs.Dropdown(label=\"Select a model\", choices=models)\n",
-    "        model.change(fn=select_model, inputs=model, outputs=None)\n",
     "        btnClassify = gr.Button(\"Classify\")\n",
     "    with gr.Column(variant=\"panel\"):\n",
+    "        selected = gr.outputs.Textbox(label=\"Active Model\")\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",
     "\n",
@@ -643,10 +552,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "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",

app.py

@@ -47,11 +47,12 @@ with demo:
     with gr.Column(variant="panel"):
         image = gr.inputs.Image(label="Pick an image")
         model = gr.inputs.Dropdown(label="Select a model", choices=models)
-        model.change(fn=select_model, inputs=model, outputs=None)
         btnClassify = gr.Button("Classify")
     with gr.Column(variant="panel"):
+        selected = gr.outputs.Textbox(label="Active Model")
         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)