Added Gradio app for all opensource classifier battle

app.ipynb

@@ -1,110 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\iitsi\\anaconda3\\lib\\site-packages\\gradio\\blocks.py:503: UserWarning: Cannot load huggingface. Caught Exception: The space huggingface does not exist\n",
-      "  warnings.warn(f\"Cannot load {theme}. Caught Exception: {str(e)}\")\n",
-      "c:\\Users\\iitsi\\anaconda3\\lib\\site-packages\\gradio\\deprecation.py:40: UserWarning: `layout` parameter is deprecated, and it has no effect\n",
-      "  warnings.warn(value)\n",
-      "ERROR:    [Errno 10048] error while attempting to bind on address ('127.0.0.1', 7864): only one usage of each socket address (protocol/network address/port) is normally permitted\n"
-     ]
-    }
-   ],
-   "source": [
-    "import gradio as gr\n",
-    "from transformers import pipeline\n",
-    "\n",
-    "model_names = [\n",
-    "    \"apple/mobilevit-small\",\n",
-    "    \"facebook/deit-base-patch16-224\",\n",
-    "    \"facebook/convnext-base-224\",\n",
-    "    \"google/vit-base-patch16-224\",\n",
-    "    \"google/mobilenet_v2_1.4_224\",\n",
-    "    \"microsoft/resnet-50\",\n",
-    "    \"microsoft/swin-base-patch4-window7-224\",\n",
-    "    \"microsoft/beit-base-patch16-224\",\n",
-    "    \"nvidia/mit-b0\",\n",
-    "    \"shi-labs/nat-base-in1k-224\",\n",
-    "    \"shi-labs/dinat-base-in1k-224\",\n",
-    "]\n",
-    "\n",
-    "\n",
-    "def process(image_file, top_k):\n",
-    "    labels = []\n",
-    "    for m in model_names:\n",
-    "        p = pipeline(\"image-classification\", model=m)\n",
-    "        pred = p(image_file)\n",
-    "        labels.append({x[\"label\"]: x[\"score\"] for x in pred[:top_k]})\n",
-    "    return labels\n",
-    "\n",
-    "\n",
-    "# Inputs\n",
-    "image = gr.Image(type=\"filepath\", label=\"Upload an image\")\n",
-    "top_k = gr.Slider(minimum=1, maximum=5, step=1, value=5, label=\"Top k classes\")\n",
-    "\n",
-    "# Output\n",
-    "labels = [gr.Label(label=m) for m in model_names]\n",
-    "\n",
-    "description = \"This Space lets you quickly compare the most popular image classifiers available on the hub, including the recent NAT and DINAT models. All of them have been fine-tuned on the ImageNet-1k dataset. Anecdotally, the three sample images have been generated with a Stable Diffusion model :)\"\n",
-    "\n",
-    "iface = gr.Interface(\n",
-    "    theme=\"huggingface\",\n",
-    "    description=description,\n",
-    "    layout=\"horizontal\",\n",
-    "    fn=process,\n",
-    "    inputs=[image, top_k],\n",
-    "    outputs=labels,\n",
-    "    examples=[\n",
-    "        [\"bike.jpg\", 5],\n",
-    "        [\"car.jpg\", 5],\n",
-    "        [\"food.jpg\", 5],\n",
-    "    ],\n",
-    "    allow_flagging=\"never\",\n",
-    ")\n",
-    "\n",
-    "iface.launch()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "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": "3.9.13"
-  },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "a10896378c7586fe060a2352f1f55c7416a5095f8b10e25e98ff567d7ae9c79d"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}