use webcam for input

app.py

@@ -11,7 +11,7 @@ def classify_image(img):
 
 demo = gr.Interface(
     fn=classify_image,
-    inputs=[gr.Image(shape=(192,192))],
+    inputs=[gr.Image(shape=(192,192), source='webcam')],
     outputs=[gr.Label()],
     examples=['male.jpg', 'female.jpg']
 )

gradio-app.ipynb

@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "1948dee4",
+   "id": "83670509",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "74e47a6e",
+   "id": "66360cf1",
    "metadata": {},
    "outputs": [
     {
@@ -36,7 +36,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "d92f25a0",
+   "id": "144144fe",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "25be07fd",
+   "id": "e5ff35b9",
    "metadata": {},
    "outputs": [
     {
@@ -75,7 +75,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "e4a6bcb7",
+   "id": "0d828251",
    "metadata": {},
    "outputs": [
     {
@@ -132,15 +132,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "7548045a",
+   "execution_count": 8,
+   "id": "f49cd34d",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7860\n",
+      "Running on local URL:  http://127.0.0.1:7861\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -148,24 +148,220 @@
     {
      "data": {
       "text/plain": [
-       "(<gradio.routes.App at 0x7c55b40a16c0>, 'http://127.0.0.1:7860/', None)"
+       "(<gradio.routes.App at 0x7c561b921630>, 'http://127.0.0.1:7861/', None)"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Traceback (most recent call last):\n",
+      "  File \"/home/antonrubisov/mambaforge/lib/python3.10/site-packages/gradio/routes.py\", line 283, in run_predict\n",
+      "    output = await app.blocks.process_api(\n",
+      "  File \"/home/antonrubisov/mambaforge/lib/python3.10/site-packages/gradio/blocks.py\", line 892, in process_api\n",
+      "    result = await self.call_function(fn_index, inputs, iterator)\n",
+      "  File \"/home/antonrubisov/mambaforge/lib/python3.10/site-packages/gradio/blocks.py\", line 733, in call_function\n",
+      "    prediction = await anyio.to_thread.run_sync(\n",
+      "  File \"/home/antonrubisov/mambaforge/lib/python3.10/site-packages/anyio/to_thread.py\", line 31, in run_sync\n",
+      "    return await get_asynclib().run_sync_in_worker_thread(\n",
+      "  File \"/home/antonrubisov/mambaforge/lib/python3.10/site-packages/anyio/_backends/_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
+      "    return await future\n",
+      "  File \"/home/antonrubisov/mambaforge/lib/python3.10/site-packages/anyio/_backends/_asyncio.py\", line 867, in run\n",
+      "    result = context.run(func, *args)\n",
+      "  File \"/tmp/ipykernel_24169/2631874386.py\", line 5, in classify_image\n",
+      "    pred, pred_idx, probs = learn.predict(img)\n",
+      "  File \"/home/antonrubisov/mambaforge/lib/python3.10/site-packages/fastai/learner.py\", line 302, in predict\n",
+      "    dl = self.dls.test_dl([item], rm_type_tfms=rm_type_tfms, num_workers=0)\n",
+      "  File \"/home/antonrubisov/mambaforge/lib/python3.10/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 \"/home/antonrubisov/mambaforge/lib/python3.10/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 \"/home/antonrubisov/mambaforge/lib/python3.10/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 \"/home/antonrubisov/mambaforge/lib/python3.10/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": [
+       "\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": [
+       "\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": [
+       "\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",
     "demo = gr.Interface(\n",
     "    fn=classify_image,\n",
-    "    inputs=[gr.Image(shape=(192,192))],\n",
+    "    inputs=[gr.Image(shape=(192,192),source='webcam')],\n",
     "    outputs=[gr.Label()],\n",
     "    examples=['male.jpg', 'female.jpg']\n",
     ")\n",
     "demo.launch(inline=False)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8ba84dab",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {