Adding app.py

App.ipynb

@@ -1,130 +0,0 @@
-{
- "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
-}

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from fastai.vision.all import *
+learn=load_learner("model.pkl")
+
+def classify_images(im):
+    pred,idx,probs=learn.predict(im)
+    s='Your submitted alphabet is '+pred
+    return s
+
+
+
+img=gr.inputs.Image(shape=(28,28),source="canvas",invert_colors=True)
+label=gr.outputs.Label()
+examples=["A.jpg","h.jpg","z.jpg"]
+
+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)
+intf.launch(inline=False)