|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 1, |
| 6 | + "metadata": {}, |
| 7 | + "outputs": [], |
| 8 | + "source": [ |
| 9 | + "# nuclio: ignore\n", |
| 10 | + "# if the nuclio-jupyter package is not installed run !pip install nuclio-jupyter\n", |
| 11 | + "import nuclio " |
| 12 | + ] |
| 13 | + }, |
| 14 | + { |
| 15 | + "cell_type": "code", |
| 16 | + "execution_count": 2, |
| 17 | + "metadata": {}, |
| 18 | + "outputs": [ |
| 19 | + { |
| 20 | + "name": "stdout", |
| 21 | + "output_type": "stream", |
| 22 | + "text": [ |
| 23 | + "Requirement already satisfied: textblob in ./.pythonlibs/lib/python3.6/site-packages (0.15.3)\n", |
| 24 | + "Requirement already satisfied: nltk>=3.1 in ./.pythonlibs/lib/python3.6/site-packages (from textblob) (3.4)\n", |
| 25 | + "Requirement already satisfied: six in /conda/lib/python3.6/site-packages (from nltk>=3.1->textblob) (1.12.0)\n", |
| 26 | + "Requirement already satisfied: singledispatch in ./.pythonlibs/lib/python3.6/site-packages (from nltk>=3.1->textblob) (3.4.0.3)\n", |
| 27 | + "%nuclio: setting 'TO_LANG' environment variable\n" |
| 28 | + ] |
| 29 | + } |
| 30 | + ], |
| 31 | + "source": [ |
| 32 | + "%nuclio cmd pip install textblob\n", |
| 33 | + "%nuclio env TO_LANG=fr" |
| 34 | + ] |
| 35 | + }, |
| 36 | + { |
| 37 | + "cell_type": "code", |
| 38 | + "execution_count": 11, |
| 39 | + "metadata": {}, |
| 40 | + "outputs": [], |
| 41 | + "source": [ |
| 42 | + "from textblob import TextBlob\n", |
| 43 | + "import os\n", |
| 44 | + "\n", |
| 45 | + "def handler(context, event):\n", |
| 46 | + " context.logger.info('This is an NLP example! ')\n", |
| 47 | + "\n", |
| 48 | + " # process and correct the text\n", |
| 49 | + " blob = TextBlob(str(event.body.decode('utf-8')))\n", |
| 50 | + " corrected = blob.correct()\n", |
| 51 | + "\n", |
| 52 | + " # debug print the text before and after correction\n", |
| 53 | + " context.logger.info_with(\"Corrected text\", corrected=str(corrected), orig=str(blob))\n", |
| 54 | + "\n", |
| 55 | + " # calculate sentiments\n", |
| 56 | + " context.logger.info_with(\"Sentiment\",\n", |
| 57 | + " polarity=str(corrected.sentiment.polarity),\n", |
| 58 | + " subjectivity=str(corrected.sentiment.subjectivity))\n", |
| 59 | + "\n", |
| 60 | + " # read target language from environment and return translated text\n", |
| 61 | + " lang = os.getenv('TO_LANG','fr')\n", |
| 62 | + " return str(corrected.translate(to=lang))" |
| 63 | + ] |
| 64 | + }, |
| 65 | + { |
| 66 | + "cell_type": "code", |
| 67 | + "execution_count": 16, |
| 68 | + "metadata": {}, |
| 69 | + "outputs": [ |
| 70 | + { |
| 71 | + "name": "stdout", |
| 72 | + "output_type": "stream", |
| 73 | + "text": [ |
| 74 | + "Python> 2019-03-14 11:33:43,830 [info] This is an NLP example! \n", |
| 75 | + "Python> 2019-03-14 11:33:43,831 [info] Corrected text: {'corrected': 'good evening', 'orig': 'good evening'}\n", |
| 76 | + "Python> 2019-03-14 11:33:43,833 [info] Sentiment: {'polarity': '0.7', 'subjectivity': '0.6000000000000001'}\n" |
| 77 | + ] |
| 78 | + }, |
| 79 | + { |
| 80 | + "data": { |
| 81 | + "text/plain": [ |
| 82 | + "'Bonsoir'" |
| 83 | + ] |
| 84 | + }, |
| 85 | + "execution_count": 16, |
| 86 | + "metadata": {}, |
| 87 | + "output_type": "execute_result" |
| 88 | + } |
| 89 | + ], |
| 90 | + "source": [ |
| 91 | + "# nuclio: ignore\n", |
| 92 | + "event = nuclio.Event(body=b'good morninng')\n", |
| 93 | + "handler(context, event)" |
| 94 | + ] |
| 95 | + }, |
| 96 | + { |
| 97 | + "cell_type": "code", |
| 98 | + "execution_count": 14, |
| 99 | + "metadata": {}, |
| 100 | + "outputs": [ |
| 101 | + { |
| 102 | + "name": "stdout", |
| 103 | + "output_type": "stream", |
| 104 | + "text": [ |
| 105 | + "%nuclio: ['deploy', '-n', 'nlp', '-p', 'ai', '-c', '/User/nlp-example.ipynb']\n", |
| 106 | + "%nuclio: [nuclio.deploy] 2019-03-14 11:32:56,340 (info) Building processor image\n", |
| 107 | + "%nuclio: [nuclio.deploy] 2019-03-14 11:32:58,391 (info) Pushing image\n", |
| 108 | + "%nuclio: [nuclio.deploy] 2019-03-14 11:32:58,391 (info) Build complete\n", |
| 109 | + "%nuclio: [nuclio.deploy] 2019-03-14 11:33:02,434 (info) Function deploy complete\n", |
| 110 | + "%nuclio: [nuclio.deploy] 2019-03-14 11:33:02,442 done updating nlp, function address: 3.122.204.208:32182\n", |
| 111 | + "%nuclio: function deployed\n" |
| 112 | + ] |
| 113 | + } |
| 114 | + ], |
| 115 | + "source": [ |
| 116 | + "%nuclio deploy -n nlp -p ai -c" |
| 117 | + ] |
| 118 | + }, |
| 119 | + { |
| 120 | + "cell_type": "code", |
| 121 | + "execution_count": 15, |
| 122 | + "metadata": {}, |
| 123 | + "outputs": [ |
| 124 | + { |
| 125 | + "name": "stdout", |
| 126 | + "output_type": "stream", |
| 127 | + "text": [ |
| 128 | + "bonne soir��e '" |
| 129 | + ] |
| 130 | + } |
| 131 | + ], |
| 132 | + "source": [ |
| 133 | + "!curl -X POST -d \"good evening\" 3.122.204.208:32182" |
| 134 | + ] |
| 135 | + }, |
| 136 | + { |
| 137 | + "cell_type": "code", |
| 138 | + "execution_count": null, |
| 139 | + "metadata": {}, |
| 140 | + "outputs": [], |
| 141 | + "source": [] |
| 142 | + } |
| 143 | + ], |
| 144 | + "metadata": { |
| 145 | + "kernelspec": { |
| 146 | + "display_name": "Python 3", |
| 147 | + "language": "python", |
| 148 | + "name": "python3" |
| 149 | + }, |
| 150 | + "language_info": { |
| 151 | + "codemirror_mode": { |
| 152 | + "name": "ipython", |
| 153 | + "version": 3 |
| 154 | + }, |
| 155 | + "file_extension": ".py", |
| 156 | + "mimetype": "text/x-python", |
| 157 | + "name": "python", |
| 158 | + "nbconvert_exporter": "python", |
| 159 | + "pygments_lexer": "ipython3", |
| 160 | + "version": "3.6.8" |
| 161 | + } |
| 162 | + }, |
| 163 | + "nbformat": 4, |
| 164 | + "nbformat_minor": 2 |
| 165 | +} |
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