Feat: added gradio and git lfs to track

app.ipynb

@@ -0,0 +1,145 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|default_exp app"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "from fastai.vision.all import *\n",
+    "import gradio as gr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "\n",
+    "def is_cat(x):\n",
+    "    return x[0].isupper()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "\n",
+    "learn = load_learner('model.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "\n",
+    "categories = ('Dog', 'Cat')\n",
+    "\n",
+    "def classify_image(img):\n",
+    "    pred, idx, probs = learn.predict(img)\n",
+    "    return dict(zip(categories, map(float, probs)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_232403/3480190996.py:3: 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",
+      "/tmp/ipykernel_232403/3480190996.py:3: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
+      "  image = gr.inputs.Image(shape=(192, 192))\n",
+      "/tmp/ipykernel_232403/3480190996.py:4: 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",
+      "/tmp/ipykernel_232403/3480190996.py:4: GradioUnusedKwargWarning: You have unused kwarg parameters in Label, please remove them: {'type': 'auto'}\n",
+      "  label = gr.outputs.Label()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7860\n",
+      "IMPORTANT: You are using gradio version 3.43.0, however version 4.29.0 is available, please upgrade.\n",
+      "--------\n",
+      "Running on public URL: https://1ff37f198fe37a32c2.gradio.live\n",
+      "\n",
+      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#|export\n",
+    "\n",
+    "image = gr.inputs.Image(shape=(192, 192))\n",
+    "label = gr.outputs.Label()\n",
+    "examples = ['dog.jpg', 'cat.jpg', 'beagle.jpg']\n",
+    "\n",
+    "interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
+    "interface.launch(inline=False, share=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import nbdev\n",
+    "\n",
+    "nbdev.export.nb_export('app.ipynb')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

app.py

@@ -1,6 +1,30 @@
-import gradio as gradio
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
 
-def greet(name):
-    return f'Hello {name}'
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'interface', 'is_cat', 'classify_image']
 
-gradio.Interface(fn=greet, inputs="text", outputs="text").launch()
+# %% ../app.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+# %% ../app.ipynb 2
+def is_cat(x):
+    return x[0].isupper()
+
+# %% ../app.ipynb 3
+learn = load_learner('model.pkl')
+
+# %% ../app.ipynb 4
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% ../app.ipynb 5
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg', 'beagle.jpg']
+
+interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+interface.launch(inline=False, share=True)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c09d8f778f89c9eb588eefd9a5ba094eb163cd3ea708a4ea567a83e924f149f
+size 47059947