Delete catvsdog.ipynb

catvsdog.ipynb

@@ -1,329 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
-    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
-    "execution": {
-     "iopub.execute_input": "2024-11-07T16:42:00.042481Z",
-     "iopub.status.busy": "2024-11-07T16:42:00.042038Z",
-     "iopub.status.idle": "2024-11-07T16:42:00.536812Z",
-     "shell.execute_reply": "2024-11-07T16:42:00.535349Z",
-     "shell.execute_reply.started": "2024-11-07T16:42:00.042436Z"
-    },
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/kaggle/input/cvd1/pytorch/default/1/model.pkl\n",
-      "/kaggle/input/dog-jpeg/dog.jpeg\n"
-     ]
-    }
-   ],
-   "source": [
-    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
-    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
-    "# For example, here's several helpful packages to load\n",
-    "\n",
-    "import numpy as np # linear algebra\n",
-    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
-    "\n",
-    "# Input data files are available in the read-only \"../input/\" directory\n",
-    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
-    "\n",
-    "import os\n",
-    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
-    "    for filename in filenames:\n",
-    "        print(os.path.join(dirname, filename))\n",
-    "\n",
-    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
-    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2024-11-07T16:42:00.539921Z",
-     "iopub.status.busy": "2024-11-07T16:42:00.539246Z",
-     "iopub.status.idle": "2024-11-07T16:42:00.546035Z",
-     "shell.execute_reply": "2024-11-07T16:42:00.544485Z",
-     "shell.execute_reply.started": "2024-11-07T16:42:00.539864Z"
-    },
-    "trusted": true
-   },
-   "outputs": [],
-   "source": [
-    "#|default.exp app"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "_kg_hide-input": true,
-    "execution": {
-     "iopub.execute_input": "2024-11-07T16:42:00.548268Z",
-     "iopub.status.busy": "2024-11-07T16:42:00.547765Z",
-     "iopub.status.idle": "2024-11-07T16:42:40.346973Z",
-     "shell.execute_reply": "2024-11-07T16:42:40.345786Z",
-     "shell.execute_reply.started": "2024-11-07T16:42:00.548214Z"
-    },
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Collecting gradio\n",
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-      "\u001b[?25hDownloading ffmpy-0.4.0-py3-none-any.whl (5.8 kB)\n",
-      "Installing collected packages: tomlkit, semantic-version, ruff, python-multipart, ffmpy, starlette, huggingface-hub, safehttpx, gradio-client, fastapi, gradio\n",
-      "  Attempting uninstall: tomlkit\n",
-      "    Found existing installation: tomlkit 0.13.2\n",
-      "    Uninstalling tomlkit-0.13.2:\n",
-      "      Successfully uninstalled tomlkit-0.13.2\n",
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-      "      Successfully uninstalled python-multipart-0.0.9\n",
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-      "    Found existing installation: starlette 0.37.2\n",
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-      "      Successfully uninstalled starlette-0.37.2\n",
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-      "    Found existing installation: huggingface-hub 0.24.6\n",
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-      "      Successfully uninstalled huggingface-hub-0.24.6\n",
-      "  Attempting uninstall: fastapi\n",
-      "    Found existing installation: fastapi 0.111.0\n",
-      "    Uninstalling fastapi-0.111.0:\n",
-      "      Successfully uninstalled fastapi-0.111.0\n",
-      "Successfully installed fastapi-0.115.4 ffmpy-0.4.0 gradio-5.5.0 gradio-client-1.4.2 huggingface-hub-0.26.2 python-multipart-0.0.12 ruff-0.7.2 safehttpx-0.1.1 semantic-version-2.10.0 starlette-0.41.2 tomlkit-0.12.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "#|export\n",
-    "from fastai.vision.all import *\n",
-    "!pip install gradio\n",
-    "import gradio as gr\n",
-    "\n",
-    "share = True\n",
-    "def is_cat(x): return x[0].isupper()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2024-11-07T16:42:40.351150Z",
-     "iopub.status.busy": "2024-11-07T16:42:40.350198Z",
-     "iopub.status.idle": "2024-11-07T16:42:40.780869Z",
-     "shell.execute_reply": "2024-11-07T16:42:40.779627Z",
-     "shell.execute_reply.started": "2024-11-07T16:42:40.351085Z"
-    },
-    "trusted": true
-   },
-   "outputs": [],
-   "source": [
-    "#|export\n",
-    "learn = load_learner('/kaggle/input/cvd1/pytorch/default/1/model.pkl')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2024-11-07T16:42:40.782674Z",
-     "iopub.status.busy": "2024-11-07T16:42:40.782252Z",
-     "iopub.status.idle": "2024-11-07T16:42:40.789359Z",
-     "shell.execute_reply": "2024-11-07T16:42:40.787980Z",
-     "shell.execute_reply.started": "2024-11-07T16:42:40.782632Z"
-    },
-    "trusted": true
-   },
-   "outputs": [],
-   "source": [
-    "#|export\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": {
-    "execution": {
-     "iopub.execute_input": "2024-11-07T16:42:40.791441Z",
-     "iopub.status.busy": "2024-11-07T16:42:40.791006Z",
-     "iopub.status.idle": "2024-11-07T16:42:42.246846Z",
-     "shell.execute_reply": "2024-11-07T16:42:42.245632Z",
-     "shell.execute_reply.started": "2024-11-07T16:42:40.791400Z"
-    },
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "* Running on local URL:  http://127.0.0.1:7860\n",
-      "* Running on public URL: https://f0396da6689b4b4b39.gradio.live\n",
-      "\n",
-      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": []
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#|export\n",
-    "image = \"image\"\n",
-    "label = \"label\"\n",
-    "\n",
-    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)\n",
-    "intf.launch(inline=False, share = True)"
-   ]
-  }
- ],
- "metadata": {
-  "kaggle": {
-   "accelerator": "none",
-   "dataSources": [
-    {
-     "datasetId": 5660894,
-     "sourceId": 9340954,
-     "sourceType": "datasetVersion"
-    },
-    {
-     "isSourceIdPinned": true,
-     "modelId": 157980,
-     "modelInstanceId": 135253,
-     "sourceId": 159107,
-     "sourceType": "modelInstanceVersion"
-    }
-   ],
-   "dockerImageVersionId": 30761,
-   "isGpuEnabled": false,
-   "isInternetEnabled": true,
-   "language": "python",
-   "sourceType": "notebook"
-  },
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
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