clarifai fake test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from clarifai import rest\n",
    "from clarifai.rest import ClarifaiApp\n",
    "import glob\n",
    "#fake images\n",
    "app = ClarifaiApp(\"Rl9u7.....zGchRS41ktHlmhV\", \"ApKNR39--.....JiBV9KelI9\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# testing - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# testing - 1\n",
    "from clarifai.rest import Image as ClImage\n",
    "import pandas as pd\n",
    "mostly_test = \"C:/Users/Roshan Sridhar/Downloads/Global AI Hackathon/images/mostly REAL rips from redditripv15/*\"\n",
    "count = 0\n",
    "model=app.models.get('fake_images')\n",
    "clarifai_scores = pd.DataFrame(columns=['url','score'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# testing - 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# testing - 2\n",
    "from clarifai.rest import Image as ClImage\n",
    "import pandas as pd\n",
    "real_test = \"C:/Users/Roshan Sridhar/Downloads/photoshopbattles REAL TEST/*\"\n",
    "count = 0\n",
    "model=app.models.get('fake_images')\n",
    "clarifai_scores = pd.DataFrame(columns=['url','score','predicted'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>score</th>\n",
       "      <th>real</th>\n",
       "      <th>fake</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>qwe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   url  score  real fake\n",
       "0  qwe    1.0  12.0  NaN"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df.append({'url':'qwe','score':1,'real':12},ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'outputs': [{'created_at': '2017-06-25T15:04:50.542569653Z',\n",
       "   'data': {'concepts': [{'app_id': 'ea3fdf9046b0486093b2c339187706a8',\n",
       "      'id': 'real',\n",
       "      'name': 'real',\n",
       "      'value': 0.9338369},\n",
       "     {'app_id': 'ea3fdf9046b0486093b2c339187706a8',\n",
       "      'id': 'fake',\n",
       "      'name': 'fake',\n",
       "      'value': 0.066163145}]},\n",
       "   'id': 'efc2a55b00a64ccda2564958ff9b6260',\n",
       "   'input': {'data': {'image': {'url': 'https://s3.amazonaws.com/clarifai-api/img2/prod/small/ea3fdf9046b0486093b2c339187706a8/d0b1e814059447cd94b6b196a6667e62.jpeg'}},\n",
       "    'id': 'cc798346a5304c79991095d74ff15d9b'},\n",
       "   'model': {'app_id': 'ea3fdf9046b0486093b2c339187706a8',\n",
       "    'created_at': '2017-06-25T01:20:55.120695Z',\n",
       "    'id': 'fake_images',\n",
       "    'model_version': {'created_at': '2017-06-25T09:08:56.755819Z',\n",
       "     'id': 'a87fc2d8677b4fc7a9e53b8a468e45d3',\n",
       "     'status': {'code': 21100, 'description': 'Model trained successfully'}},\n",
       "    'name': 'fake_images',\n",
       "    'output_info': {'message': 'Show output_info with: GET /models/{model_id}/output_info',\n",
       "     'output_config': {'closed_environment': True,\n",
       "      'concepts_mutually_exclusive': True},\n",
       "     'type': 'concept',\n",
       "     'type_ext': 'concept'}},\n",
       "   'status': {'code': 10000, 'description': 'Ok'}}],\n",
       " 'status': {'code': 10000, 'description': 'Ok'}}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image = app.inputs.create_image_from_filename(\"C:/Users/Roshan Sridhar/Downloads/photoshopbattles REAL TEST/6io844 1.jpg\")\n",
    "model.predict([image])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'real'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict([image])['outputs'][0]['data']['concepts'][0]['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9338369"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict([image])['outputs'][0]['data']['concepts'][0]['value']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# testing - 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25\n",
      "50\n",
      "75\n",
      "100\n",
      "125\n",
      "150\n",
      "175\n",
      "200\n",
      "225\n",
      "250\n",
      "275\n",
      "300\n",
      "325\n",
      "350\n",
      "375\n",
      "400\n",
      "425\n",
      "450\n",
      "475\n",
      "500\n"
     ]
    }
   ],
   "source": [
    "fake_test = \"C:/Users/Roshan Sridhar/Downloads/photoshopbattles FAKE TEST/*\"\n",
    "count = 0\n",
    "model=app.models.get('fake_images')\n",
    "for f in glob.glob(fake_test):\n",
    "    count += 1\n",
    "    try:\n",
    "        image = app.inputs.create_image_from_filename(f)\n",
    "        url=model.predict([image])['outputs'][0]['input']['data']['image']['url']\n",
    "        pred=model.predict([image])['outputs'][0]['data']['concepts'][0]['value']\n",
    "        if (model.predict([image])['outputs'][0]['data']['concepts'][0]['name'])=='real':\n",
    "            test_df  = test_df.append({\"url\":str(url),\"score\":0,\"real\":pred},ignore_index=True)\n",
    "        else:\n",
    "            test_df  = test_df.append({\"url\":str(url),\"score\":0,\"fake\":pred},ignore_index=True)\n",
    "    except:\n",
    "        continue\n",
    "        \n",
    "    if count%25==0:\n",
    "        print(count)\n",
    "    if count>500:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25\n",
      "50\n",
      "75\n",
      "100\n",
      "125\n",
      "150\n",
      "175\n",
      "200\n",
      "225\n"
     ]
    }
   ],
   "source": [
    "real_test = \"C:/Users/Roshan Sridhar/Downloads/photoshopbattles REAL TEST/*\"\n",
    "count = 0\n",
    "model=app.models.get('fake_images')\n",
    "for f in glob.glob(real_test):\n",
    "    count += 1\n",
    "    try:\n",
    "        image = app.inputs.create_image_from_filename(f)\n",
    "        url=model.predict([image])['outputs'][0]['input']['data']['image']['url']\n",
    "        pred=model.predict([image])['outputs'][0]['data']['concepts'][0]['value']\n",
    "        if (model.predict([image])['outputs'][0]['data']['concepts'][0]['name'])=='real':\n",
    "            test_df  = test_df.append({\"url\":str(url),\"score\":1,\"real\":pred},ignore_index=True)\n",
    "        else:\n",
    "            test_df  = test_df.append({\"url\":str(url),\"score\":1,\"fake\":pred},ignore_index=True)\n",
    "    except:\n",
    "        continue\n",
    "    if count%25==0:\n",
    "        print(count)\n",
    "    if count>500:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>score</th>\n",
       "      <th>real</th>\n",
       "      <th>fake</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    </tr>\n",
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       "      <td>0.0</td>\n",
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       "      <th>...</th>\n",
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       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
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       "      <td>1.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.786300</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>723</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.818321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.647895</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.836166</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.555359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>727</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.670761</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.597503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>729</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.656565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.637857</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.723343</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>732</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.849188</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>733</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.574404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>734</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.532893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>735</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.615006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.500068</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>737</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.961107</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>738</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.848290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.669049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.735574</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>741</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.540859</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>742</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.888381</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>743</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.534574</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>744</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.580247</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>745</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.693026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>746</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.770812</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>747</th>\n",
       "      <td>https://s3.amazonaws.com/clarifai-api/img2/pro...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.783163</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>748 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   url  score      real  \\\n",
       "0    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.703028   \n",
       "1    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "2    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "3    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "4    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.940111   \n",
       "5    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.703028   \n",
       "6    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "7    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "8    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "9    https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.940111   \n",
       "10   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "11   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.548924   \n",
       "12   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "13   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "14   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "15   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.577976   \n",
       "16   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "17   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "18   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "19   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.540190   \n",
       "20   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "21   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "22   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "23   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.663917   \n",
       "24   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.891251   \n",
       "25   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "26   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.538293   \n",
       "27   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.908003   \n",
       "28   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0       NaN   \n",
       "29   https://s3.amazonaws.com/clarifai-api/img2/pro...    0.0  0.992843   \n",
       "..                                                 ...    ...       ...   \n",
       "718  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "719  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.674509   \n",
       "720  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.611291   \n",
       "721  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.597685   \n",
       "722  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.786300   \n",
       "723  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "724  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.647895   \n",
       "725  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.836166   \n",
       "726  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "727  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.670761   \n",
       "728  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "729  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "730  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.637857   \n",
       "731  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.723343   \n",
       "732  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.849188   \n",
       "733  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "734  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "735  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "736  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.500068   \n",
       "737  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.961107   \n",
       "738  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "739  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "740  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.735574   \n",
       "741  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.540859   \n",
       "742  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.888381   \n",
       "743  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.534574   \n",
       "744  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.580247   \n",
       "745  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0       NaN   \n",
       "746  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.770812   \n",
       "747  https://s3.amazonaws.com/clarifai-api/img2/pro...    1.0  0.783163   \n",
       "\n",
       "         fake  \n",
       "0         NaN  \n",
       "1    0.730112  \n",
       "2    0.662385  \n",
       "3    0.643354  \n",
       "4         NaN  \n",
       "5         NaN  \n",
       "6    0.730112  \n",
       "7    0.662385  \n",
       "8    0.643354  \n",
       "9         NaN  \n",
       "10   0.618195  \n",
       "11        NaN  \n",
       "12   0.960770  \n",
       "13   0.529002  \n",
       "14   0.601030  \n",
       "15        NaN  \n",
       "16   0.611955  \n",
       "17   0.672754  \n",
       "18   0.917697  \n",
       "19        NaN  \n",
       "20   0.995175  \n",
       "21   0.853851  \n",
       "22   0.544575  \n",
       "23        NaN  \n",
       "24        NaN  \n",
       "25   0.850449  \n",
       "26        NaN  \n",
       "27        NaN  \n",
       "28   0.708243  \n",
       "29        NaN  \n",
       "..        ...  \n",
       "718  0.793403  \n",
       "719       NaN  \n",
       "720       NaN  \n",
       "721       NaN  \n",
       "722       NaN  \n",
       "723  0.818321  \n",
       "724       NaN  \n",
       "725       NaN  \n",
       "726  0.555359  \n",
       "727       NaN  \n",
       "728  0.597503  \n",
       "729  0.656565  \n",
       "730       NaN  \n",
       "731       NaN  \n",
       "732       NaN  \n",
       "733  0.574404  \n",
       "734  0.532893  \n",
       "735  0.615006  \n",
       "736       NaN  \n",
       "737       NaN  \n",
       "738  0.848290  \n",
       "739  0.669049  \n",
       "740       NaN  \n",
       "741       NaN  \n",
       "742       NaN  \n",
       "743       NaN  \n",
       "744       NaN  \n",
       "745  0.693026  \n",
       "746       NaN  \n",
       "747       NaN  \n",
       "\n",
       "[748 rows x 4 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test_df.to_csv('test_csv.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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