First model version

.gitignore

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+data/
+.ipynb_checkpoints/
+flagged/
+.DS_Store/

app.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "68be7c38-5de9-41bb-b2e6-db358bab0516",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from fastai.vision.all import *\n",
+    "import gradio as gr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "e0961d9e-d655-4367-ac5b-cc90ce41118f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "learn = load_learner('model.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "d7fd2b34-1111-4694-88be-9bd3d4e9efa2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "categories = learn.dls.vocab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "3afc0a26-0769-4b94-8e16-266eb43ffeed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def classify_image(img):\n",
+    "    pred, idx, probs = learn.predict(img)\n",
+    "    return dict(zip(categories, map(float, probs)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "95875ae8-f066-4c24-9488-5ccd1602fdaa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/toqi/opt/miniconda3/envs/fastai/lib/python3.9/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",
+      "/Users/toqi/opt/miniconda3/envs/fastai/lib/python3.9/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
+      "  warnings.warn(value)\n",
+      "/Users/toqi/opt/miniconda3/envs/fastai/lib/python3.9/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",
+      "/Users/toqi/opt/miniconda3/envs/fastai/lib/python3.9/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",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "image = gr.inputs.Image(shape=(224, 224))\n",
+    "label = gr.outputs.Label()\n",
+    "# examples = ['black-bear.jpg', 'grizzly-bear.jpg', 'teddy-bear.jpg']\n",
+    "\n",
+    "title= \"Car Classifer\"\n",
+    "\n",
+    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, title=title)\n",
+    "intf.launch(inline=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "43c24456-6927-4098-8537-6399258923e8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.9 (fastai)",
+   "language": "python",
+   "name": "fastai"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.15"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+categories = learn.dls.vocab
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label()
+# examples = ['black-bear.jpg', 'grizzly-bear.jpg', 'teddy-bear.jpg']
+
+title= "Car Classifer"
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, title=title)
+intf.launch(inline=False)
+

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7e765cb1e2f5f269d8f1285531152578a2a83c13fa2a69c8ef0cab73a904c63c
+size 88023949