CoolFace
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tomweks/fontsrecognizer

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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app.ipynb164 linesDownload Raw Back to root
1{2  "nbformat": 4,3  "nbformat_minor": 0,4  "metadata": {5    "colab": {6      "provenance": []7    },8    "kernelspec": {9      "name": "python3",10      "display_name": "Python 3"11    },12    "language_info": {13      "name": "python"14    }15  },16  "cells": [17    {18      "cell_type": "code",19      "source": [20        "!pip install -Uqq fastai gradio nbdev"21      ],22      "metadata": {23        "id": "LyRA7KSuOt6f"24      },25      "execution_count": null,26      "outputs": []27    },28    {29      "cell_type": "code",30      "execution_count": null,31      "metadata": {32        "id": "P9petL8cIBXd"33      },34      "outputs": [],35      "source": [36        "#|default_exp app"37      ]38    },39    {40      "cell_type": "code",41      "source": [42        "#|export\n",43        "from fastai.vision.all import *\n",44        "import gradio as gr"45      ],46      "metadata": {47        "id": "6olANYYvILjT"48      },49      "execution_count": null,50      "outputs": []51    },52    {53      "cell_type": "code",54      "source": [55        "im = PILImage.create('garamond.png')\n",56        "im.thumbnail((192, 192))\n",57        "im"58      ],59      "metadata": {60        "id": "JNb8CfVCRM3C"61      },62      "execution_count": null,63      "outputs": []64    },65    {66      "cell_type": "code",67      "source": [68        "#|export\n",69        "learn = load_learner('model.pkl')"70      ],71      "metadata": {72        "id": "FFxZjXWrP-Fg"73      },74      "execution_count": null,75      "outputs": []76    },77    {78      "cell_type": "code",79      "source": [80        "learn.predict(im)"81      ],82      "metadata": {83        "id": "gA5vqoTISPVL"84      },85      "execution_count": null,86      "outputs": []87    },88    {89      "cell_type": "code",90      "source": [91        "#|export\n",92        "categories = ('Garamond', 'Helvetica')\n",93        "\n",94        "def classify_image(img):\n",95        "  pred, idx, probs = learn.predict(img)\n",96        "  return dict(zip(categories, map(float, probs)))"97      ],98      "metadata": {99        "id": "bScV4g0eQUgh"100      },101      "execution_count": null,102      "outputs": []103    },104    {105      "cell_type": "code",106      "source": [107        "classify_image(im)"108      ],109      "metadata": {110        "id": "_yMhyT_hSXt0"111      },112      "execution_count": null,113      "outputs": []114    },115    {116      "cell_type": "code",117      "source": [118        "#|export\n",119        "image = gr.inputs.Image(shape=(192, 192))\n",120        "label = gr.outputs.Label()\n",121        "examples = ['garamond.png', 'helvetica.png']\n",122        "\n",123        "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",124        "intf.launch(inline=False)"125      ],126      "metadata": {127        "id": "BTRZvR-3SdRp"128      },129      "execution_count": null,130      "outputs": []131    },132    {133      "cell_type": "markdown",134      "source": [135        "# Export"136      ],137      "metadata": {138        "id": "BtgbVjRtTTqB"139      }140    },141    {142      "cell_type": "code",143      "source": [144        "import nbdev"145      ],146      "metadata": {147        "id": "_wNIvDXSTUwC"148      },149      "execution_count": null,150      "outputs": []151    },152    {153      "cell_type": "code",154      "source": [155        "nbdev.export.nb_export('app.ipynb', 'app')"156      ],157      "metadata": {158        "id": "CMlwAQz0Taj0"159      },160      "execution_count": null,161      "outputs": []162    }163  ]164}