Update Application

app.ipynb

@@ -47,28 +47,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/kibuchi/mambaforge/lib/python3.10/site-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
-      "  warnings.warn(\n",
-      "/home/kibuchi/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
-      "  warnings.warn(value)\n",
-      "/home/kibuchi/mambaforge/lib/python3.10/site-packages/gradio/outputs.py:197: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
-      "  warnings.warn(\n",
-      "/home/kibuchi/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
-      "  warnings.warn(value)\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7861\n",
+      "Running on local URL:  http://127.0.0.1:7860\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -77,16 +63,57 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "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"
     }
    ],
    "source": [
     "#|export\n",
-    "image = gr.inputs.Image(shape=(192, 192))\n",
-    "label = gr.outputs.Label()\n",
-    "examples = [\"messi.jpg\", \"ronaldo.jpg\", \"hazard.jpg\"]\n",
+    "from pathlib import Path\n",
+    "\n",
+    "image = gr.Image(shape=(192, 192))\n",
+    "label = gr.Label()\n",
+    "\n",
+    "path = Path(\"examples\")\n",
+    "examples = [file for file in path.iterdir()]\n",
     "\n",
     "intf = gr.Interface(\n",
     "    fn=classify_img,\n",
@@ -101,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -110,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {

app.py

@@ -1,7 +1,7 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
 
 # %% auto 0
-__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_img']
+__all__ = ['learn', 'categories', 'image', 'label', 'path', 'examples', 'intf', 'classify_img']
 
 # %% ../app.ipynb 1
 from fastai.vision.all import *
@@ -19,9 +19,13 @@ def classify_img(img):
     return dict(zip(categories, map(float, probs)))
 
 # %% ../app.ipynb 4
+from pathlib import Path
+
 image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
-examples = ["messi.jpg", "ronaldo.jpg", "hazard.jpg"]
+
+path = Path("examples")
+examples = [file for file in path.iterdir()]
 
 intf = gr.Interface(
     fn=classify_img,