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   "source": [
    "# Senpy in 1 minute\n",
    "\n",
    "This mini-tutorial only shows how to annotate with a service.\n",
    "We will use the [demo server](http://senpy.gsi.upm.es), which runs some open source plugins for sentiment and emotion analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Annotating with senpy is as simple as issuing an HTTP request to the API using your favourite tool.\n",
    "This is just an example using curl:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\r\n",
      "  \"@context\": \"http://senpy.gsi.upm.es/api/contexts/YXBpL3NlbnRpbWVudDE0MD8j\",\r\n",
      "  \"@type\": \"Results\",\r\n",
      "  \"entries\": [\r\n",
      "    {\r\n",
      "      \"@id\": \"prefix:\",\r\n",
      "      \"@type\": \"Entry\",\r\n",
      "      \"marl:hasOpinion\": [\r\n",
      "        {\r\n",
      "          \"@type\": \"Sentiment\",\r\n",
      "          \"marl:hasPolarity\": \"marl:Positive\",\r\n",
      "          \"prov:wasGeneratedBy\": \"prefix:Analysis_1554389334.6431913\"\r\n",
      "        }\r\n",
      "      ],\r\n",
      "      \"nif:isString\": \"Senpy is awesome\",\r\n",
      "      \"onyx:hasEmotionSet\": []\r\n",
      "    }\r\n",
      "  ]\r\n",
      "}"
     ]
    }
   ],
   "source": [
    "!curl \"http://senpy.gsi.upm.es/api/sentiment140\" --data-urlencode \"input=Senpy is awesome\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Congratulations**, you've used your first senpy service!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is the equivalent using the `requests` library:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"@context\": \"http://senpy.gsi.upm.es/api/contexts/YXBpL3NlbnRpbWVudDE0MD9pbnB1dD1TZW5weStpcythd2Vzb21lIw%3D%3D\",\n",
      "  \"@type\": \"Results\",\n",
      "  \"entries\": [\n",
      "    {\n",
      "      \"@id\": \"prefix:\",\n",
      "      \"@type\": \"Entry\",\n",
      "      \"marl:hasOpinion\": [\n",
      "        {\n",
      "          \"@type\": \"Sentiment\",\n",
      "          \"marl:hasPolarity\": \"marl:Positive\",\n",
      "          \"prov:wasGeneratedBy\": \"prefix:Analysis_1554389335.9803226\"\n",
      "        }\n",
      "      ],\n",
      "      \"nif:isString\": \"Senpy is awesome\",\n",
      "      \"onyx:hasEmotionSet\": []\n",
      "    }\n",
      "  ]\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "res = requests.get('http://senpy.gsi.upm.es/api/sentiment140',\n",
    "                   params={\"input\": \"Senpy is awesome\",})\n",
    "print(res.text)"
   ]
  }
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