Upload nlp

v3io · Mar 18, 2019 · 75bcf3c · 75bcf3c
1 parent 6b29e12
commit 75bcf3c
Showing 1 changed file with 165 additions and 0 deletions.
diff --git a/demos/nlp/nlp-example.ipynb b/demos/nlp/nlp-example.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# nuclio: ignore\n",
+    "# if the nuclio-jupyter package is not installed run !pip install nuclio-jupyter\n",
+    "import nuclio "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: textblob in ./.pythonlibs/lib/python3.6/site-packages (0.15.3)\n",
+      "Requirement already satisfied: nltk>=3.1 in ./.pythonlibs/lib/python3.6/site-packages (from textblob) (3.4)\n",
+      "Requirement already satisfied: six in /conda/lib/python3.6/site-packages (from nltk>=3.1->textblob) (1.12.0)\n",
+      "Requirement already satisfied: singledispatch in ./.pythonlibs/lib/python3.6/site-packages (from nltk>=3.1->textblob) (3.4.0.3)\n",
+      "%nuclio: setting 'TO_LANG' environment variable\n"
+     ]
+    }
+   ],
+   "source": [
+    "%nuclio cmd pip install textblob\n",
+    "%nuclio env TO_LANG=fr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from textblob import TextBlob\n",
+    "import os\n",
+    "\n",
+    "def handler(context, event):\n",
+    "    context.logger.info('This is an NLP example! ')\n",
+    "\n",
+    "    # process and correct the text\n",
+    "    blob = TextBlob(str(event.body.decode('utf-8')))\n",
+    "    corrected = blob.correct()\n",
+    "\n",
+    "    # debug print the text before and after correction\n",
+    "    context.logger.info_with(\"Corrected text\", corrected=str(corrected), orig=str(blob))\n",
+    "\n",
+    "    # calculate sentiments\n",
+    "    context.logger.info_with(\"Sentiment\",\n",
+    "                             polarity=str(corrected.sentiment.polarity),\n",
+    "                             subjectivity=str(corrected.sentiment.subjectivity))\n",
+    "\n",
+    "    # read target language from environment and return translated text\n",
+    "    lang = os.getenv('TO_LANG','fr')\n",
+    "    return str(corrected.translate(to=lang))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Python> 2019-03-14 11:33:43,830 [info] This is an NLP example! \n",
+      "Python> 2019-03-14 11:33:43,831 [info] Corrected text: {'corrected': 'good evening', 'orig': 'good evening'}\n",
+      "Python> 2019-03-14 11:33:43,833 [info] Sentiment: {'polarity': '0.7', 'subjectivity': '0.6000000000000001'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'Bonsoir'"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# nuclio: ignore\n",
+    "event = nuclio.Event(body=b'good morninng')\n",
+    "handler(context, event)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "%nuclio: ['deploy', '-n', 'nlp', '-p', 'ai', '-c', '/User/nlp-example.ipynb']\n",
+      "%nuclio: [nuclio.deploy] 2019-03-14 11:32:56,340 (info) Building processor image\n",
+      "%nuclio: [nuclio.deploy] 2019-03-14 11:32:58,391 (info) Pushing image\n",
+      "%nuclio: [nuclio.deploy] 2019-03-14 11:32:58,391 (info) Build complete\n",
+      "%nuclio: [nuclio.deploy] 2019-03-14 11:33:02,434 (info) Function deploy complete\n",
+      "%nuclio: [nuclio.deploy] 2019-03-14 11:33:02,442 done updating nlp, function address: 3.122.204.208:32182\n",
+      "%nuclio: function deployed\n"
+     ]
+    }
+   ],
+   "source": [
+    "%nuclio deploy -n nlp -p ai -c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "bonne soir��e '"
+     ]
+    }
+   ],
+   "source": [
+    "!curl -X POST -d \"good evening\" 3.122.204.208:32182"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}