Initial commit

README.md

@@ -1,7 +1,7 @@
 ---
-title: Cats Vs Dogs
-emoji: 😻
-colorFrom: gray
+title: Cats N Dogs
+emoji: 🐱
+colorFrom: yellow
 colorTo: red
 sdk: gradio
 sdk_version: 3.9

app.py

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+from fastai.vision.all import *
+import gradio as gr
+import skimage
+
+# Function needed to set labels
+def is_cat(filename):
+    return filename.name[0].isupper() 
+
+learn = load_learner('cat_dog_model.pkl')
+labels = learn.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+title = "Cat/Dog Classifier"
+description = "Basic Cat/Dog classifier trained on the Oxford Pets dataset with fastai. Testing out Gradio on HF Spaces."
+examples = ['siamese.jpg', 'boerboel.jpg', 'german_shepherd.jpg', 'sphynx.jpg']
+enable_queue=True
+
+gr.Interface(
+    fn=predict, 
+    inputs=gr.Image(shape=(512,512)),
+    outputs=gr.Label(num_top_classes=3),
+    title=title,
+    description=description,
+    examples=examples,
+).launch(enable_queue=enable_queue)
+
+

cat_dog_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8727159e573fed157946386cb511af61e01b5040e089a114fa8cc06bc800723e
+size 47081707

demo.ipynb

@@ -0,0 +1,124 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "71299281",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from fastai.vision.all import *\n",
+    "import gradio as gr\n",
+    "import skimage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "7d256402",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function needed to set labels\n",
+    "def is_cat(filename):\n",
+    "    return filename.name[0].isupper() "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a350f960",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "learn = load_learner('cat_dog_model.pkl')\n",
+    "labels = learn.dls.vocab\n",
+    "\n",
+    "def predict(img):\n",
+    "    img = PILImage.create(img)\n",
+    "    pred, pred_idx, probs = learn.predict(img)\n",
+    "    return {labels[i]: float(probs[i]) for i in range(len(labels))}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "8703a184",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7860\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(<gradio.routes.App at 0x7f5b0f748d90>, 'http://127.0.0.1:7860/', None)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "title = \"Cat/Dog Classifier\"\n",
+    "description = \"Basic Cat/Dog classifier trained on the Oxford Pets dataset with fastai. Testing out Gradio on HF Spaces.\"\n",
+    "examples = ['siamese.jpg', 'boerboel.jpg', 'german_shepherd.jpg', 'sphynx.jpg']\n",
+    "enable_queue=True\n",
+    "\n",
+    "gr.Interface(\n",
+    "    fn=predict, \n",
+    "    inputs=gr.Image(shape=(512,512)),\n",
+    "    outputs=gr.Label(num_top_classes=3),\n",
+    "    title=title,\n",
+    "    description=description,\n",
+    "    examples=examples,\n",
+    ").launch(enable_queue=enable_queue)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 ('base')",
+   "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": "3.10.6"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "ed0e91aaffcefde6eb9bcd4f55fe7652d77471dc031ce772257aa5eb4a54e8f2"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image