Adding all files

App.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cff2e3b3-d3fb-4932-b8f3-a3fc6dc2b151",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/affan/Library/Python/3.9/lib/python/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n",
+      "/var/folders/l3/j0h5_0155713kvrktqyvrrxc0000gn/T/ipykernel_1254/2190181889.py:12: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
+      "  img=gr.inputs.Image(shape=(28,28),source=\"canvas\",invert_colors=True)\n",
+      "/var/folders/l3/j0h5_0155713kvrktqyvrrxc0000gn/T/ipykernel_1254/2190181889.py:12: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
+      "  img=gr.inputs.Image(shape=(28,28),source=\"canvas\",invert_colors=True)\n",
+      "/var/folders/l3/j0h5_0155713kvrktqyvrrxc0000gn/T/ipykernel_1254/2190181889.py:13: 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/l3/j0h5_0155713kvrktqyvrrxc0000gn/T/ipykernel_1254/2190181889.py:13: 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",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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": [
+    "import gradio as gr\n",
+    "from fastai.vision.all import *\n",
+    "learn=load_learner(\"model.pkl\")\n",
+    "\n",
+    "def classify_images(im):\n",
+    "    pred,idx,probs=learn.predict(im)\n",
+    "    s='Your submitted alphabet is '+pred\n",
+    "    return s\n",
+    "\n",
+    "\n",
+    "\n",
+    "img=gr.inputs.Image(shape=(28,28),source=\"canvas\",invert_colors=True)\n",
+    "label=gr.outputs.Label()\n",
+    "examples=[\"A.jpg\",\"h.jpg\",\"z.jpg\"]\n",
+    "\n",
+    "intf=gr.Interface(title=\"English Alphabets Recognition App\",description=\"You can choose an example or draw in canvas. Press submit and model will recognize your input. This model only works on Capital Alphabets\",fn=classify_images,inputs=img,outputs=label,examples=examples)\n",
+    "intf.launch(inline=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9837ff83-7ce6-454c-8998-96d5b4e8b142",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5e1ebe15696ecfebd08a1c43412a968736cd8107d3159dea7f92f47e2006c514
+size 55997721

requirements.txt

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+fastai