04_Consummer-Complain-Classification_test_application.ipynb

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    "## Test Flask App\n",
    "From the other notebook, `03_ISeg_run_application.ipynb`, the flask app is running and ready to serve requests using python http or `curl` statements."
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    "We can start by testing that the server is indeed running:"
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    "!curl http://localhost:5000/status"
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    "Now we can use curl to send the name of an image, and wait for the result:"
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   "source": [
    "!curl -X POST -H \"Content-Type: application/json\" --data '{\"data\": \"sample_1.jpg\"}' http://localhost:5000/predictions"
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   "source": [
    "We could also do it using pure Python code:"
   ]
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       "<Response [200]>"
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    "import requests\n",
    "import json\n",
    "\n",
    "# sample_data = {\"data\":\n",
    "#   {\n",
    "\n",
    "\n",
    "#         \"names\":\n",
    "#             [\n",
    "#               \"Debt collection\"\n",
    "#             ],\n",
    "#       \"ndarray\": [\"could longer pay enormous charge hired company nl take either nothing pay day loan company accept term get several letter week threatened take civil action get check\"]\n",
    "\n",
    "#   }\n",
    "# }\n",
    "\n",
    "sample_data = {\"data\":\n",
    "[\"could longer pay enormous charge hired company nl take either nothing pay day loan company accept term get several letter week threatened take civil action get check\"]\n",
    "\n",
    "\n",
    "}\n",
    "\n",
    "\n",
    "json_data = '{\"data\": [\"could longer pay enormous charge hired company nl take either nothing pay day loan company accept term get several letter week threatened take civil action get check\"]}'\n",
    "\n",
    "response = requests.post('http://127.0.0.1:5000/predictions', json_data)\n",
    "response\n"
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    "response"
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   "metadata": {},
   "source": [
    "\n",
    "\n",
    "When you're finished, you can go back to the instuctions for the conclusion of this workshop."
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