Removed deprecated `inputs` and `outputs`

app.py

@@ -25,8 +25,8 @@ def classify_image(img):
     return dict(zip(categories, map(float, probs)))
 
 
-image = gr.inputs.Image(shape=(192, 192))
-label = gr.outputs.Label()
+image = gr.Image(shape=(192, 192))
+label = gr.Label()
 examples = ['dog.jpeg', 'cat.jpeg', 'wot.jpeg']
 
 

pets.ipynb

@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -35,7 +35,7 @@
        "PILImage mode=RGB size=192x108"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -58,7 +58,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -104,7 +104,7 @@
        "('False', tensor(0), tensor([1.0000e+00, 9.8498e-07]))"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -115,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -129,7 +129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -161,7 +161,14 @@
     },
     {
      "data": {
-      "text/html": [],
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      0.00% [0/1 00:00&lt;?]\n",
+       "    </div>\n",
+       "    "
+      ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
@@ -175,7 +182,7 @@
        "{'Dog': 0.9999990463256836, 'Cat': 9.849827620200813e-07}"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -186,23 +193,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/23/fchp9d7d3zs1g2bfgb98hns80000gn/T/ipykernel_57597/1476562385.py:2: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
-      "  image = gr.inputs.Image(shape=(192, 192))\n",
-      "/var/folders/23/fchp9d7d3zs1g2bfgb98hns80000gn/T/ipykernel_57597/1476562385.py:2: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
-      "  image = gr.inputs.Image(shape=(192, 192))\n",
-      "/var/folders/23/fchp9d7d3zs1g2bfgb98hns80000gn/T/ipykernel_57597/1476562385.py:3: GradioDeprecationWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
-      "  label = gr.outputs.Label()\n",
-      "/var/folders/23/fchp9d7d3zs1g2bfgb98hns80000gn/T/ipykernel_57597/1476562385.py:3: GradioUnusedKwargWarning: You have unused kwarg parameters in Label, please remove them: {'type': 'auto'}\n",
-      "  label = gr.outputs.Label()\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -216,74 +209,89 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 9,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Traceback (most recent call last):\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/gradio/routes.py\", line 534, in predict\n",
-      "    output = await route_utils.call_process_api(\n",
-      "             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/gradio/route_utils.py\", line 226, in call_process_api\n",
-      "    output = await app.get_blocks().process_api(\n",
-      "             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/gradio/blocks.py\", line 1550, in process_api\n",
-      "    result = await self.call_function(\n",
-      "             ^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/gradio/blocks.py\", line 1185, in call_function\n",
-      "    prediction = await anyio.to_thread.run_sync(\n",
-      "                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/anyio/to_thread.py\", line 56, in run_sync\n",
-      "    return await get_async_backend().run_sync_in_worker_thread(\n",
-      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/anyio/_backends/_asyncio.py\", line 2144, in run_sync_in_worker_thread\n",
-      "    return await future\n",
-      "           ^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/anyio/_backends/_asyncio.py\", line 851, in run\n",
-      "    result = context.run(func, *args)\n",
-      "             ^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/gradio/utils.py\", line 661, in wrapper\n",
-      "    response = f(*args, **kwargs)\n",
-      "               ^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/var/folders/23/fchp9d7d3zs1g2bfgb98hns80000gn/T/ipykernel_57597/2178911619.py\", line 5, in classify_image\n",
-      "    pred, idx, probs = learn.predict(img)\n",
-      "                       ^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/fastai/learner.py\", line 320, in predict\n",
-      "    dl = self.dls.test_dl([item], rm_type_tfms=rm_type_tfms, num_workers=0)\n",
-      "         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/fastai/data/core.py\", line 524, in test_dl\n",
-      "    test_ds = test_set(self.valid_ds, test_items, rm_tfms=rm_type_tfms, with_labels=with_labels\n",
-      "              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/fastai/data/core.py\", line 503, in test_set\n",
-      "    if rm_tfms is None: rm_tfms = [tl.infer_idx(get_first(test_items)) for tl in test_tls]\n",
-      "                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/fastai/data/core.py\", line 503, in <listcomp>\n",
-      "    if rm_tfms is None: rm_tfms = [tl.infer_idx(get_first(test_items)) for tl in test_tls]\n",
-      "                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/Users/nikhilb/fastai/course/pets/venv/lib/python3.11/site-packages/fastai/data/core.py\", line 397, 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",
-      "           ^^^^^^^^^^^^^^^^^^^^^\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 'PIL.Image.Image'>\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"
     }
    ],
    "source": [
     "#|export\n",
-    "image = gr.inputs.Image(shape=(192, 192))\n",
-    "label = gr.outputs.Label()\n",
+    "image = gr.Image(shape=(192, 192))\n",
+    "label = gr.Label()\n",
     "examples = ['dog.jpeg', 'cat.jpeg', 'wot.jpeg']\n",
     "\n",
     "\n",