diff --git a/Test Keras.ipynb b/Test Keras.ipynb
index a8b4d8ddbe..cc665319ff 100644
--- a/Test Keras.ipynb	
+++ b/Test Keras.ipynb	
@@ -9,18 +9,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%load_ext autoreload\n",
     "%autoreload 2\n",
@@ -32,9 +23,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "WARNING:tensorflow:From C:\\Users\\ALI\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\ops\\resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
+      "Instructions for updating:\n",
+      "Colocations handled automatically by placer.\n"
+     ]
+    }
+   ],
    "source": [
     "model = tf.keras.applications.inception_v3.InceptionV3()"
    ]
@@ -48,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,9 +65,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -74,7 +73,7 @@
      "text": [
       "Closing existing server...\n",
       "NOTE: Gradio is in beta stage, please report all bugs to: contact.gradio@gmail.com\n",
-      "Model is running locally at: http://localhost:7861/\n",
+      "Model is running locally at: http://localhost:7860/\n",
       "Unable to create public link for interface, please check internet connection or try restarting python interpreter.\n"
      ]
     },
@@ -85,14 +84,14 @@
        "        <iframe\n",
        "            width=\"1000\"\n",
        "            height=\"500\"\n",
-       "            src=\"http://localhost:7861/\"\n",
+       "            src=\"http://localhost:7860/\"\n",
        "            frameborder=\"0\"\n",
        "            allowfullscreen\n",
        "        ></iframe>\n",
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x26c65349978>"
+       "<IPython.lib.display.IFrame at 0x25256b5d7b8>"
       ]
      },
      "metadata": {},
@@ -101,17 +100,35 @@
     {
      "data": {
       "text/plain": [
-       "''"
+       "(<gradio.networking.serve_files_in_background.<locals>.HTTPServer at 0x25256cb1080>,\n",
+       " 'http://localhost:7860/',\n",
+       " None)"
       ]
      },
      "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Error in connection handler\n",
+      "Traceback (most recent call last):\n",
+      "  File \"C:\\Users\\ALI\\Anaconda3\\lib\\site-packages\\websockets\\server.py\", line 169, in handler\n",
+      "    yield from self.ws_handler(self, path)\n",
+      "  File \"C:\\Users\\ALI\\Desktop\\gradiome\\gradio\\interface.py\", line 139, in communicate\n",
+      "    self.input_interface.rebuild_flagged(msg)\n",
+      "  File \"C:\\Users\\ALI\\Desktop\\gradiome\\gradio\\inputs.py\", line 223, in rebuild_flagged\n",
+      "    sniffer = csv.Sniffer().sniff(f.readline())\n",
+      "  File \"C:\\Users\\ALI\\Anaconda3\\lib\\csv.py\", line 188, in sniff\n",
+      "    raise Error(\"Could not determine delimiter\")\n",
+      "_csv.Error: Could not determine delimiter\n"
+     ]
     }
    ],
    "source": [
-    "io.launch(inline=True, inbrowser=False, share=True, validate=False)\n",
-    ";"
+    "io.launch(inline=True, inbrowser=False, share=True, validate=False)"
    ]
   },
   {
diff --git a/gradio/inputs.py b/gradio/inputs.py
index 7684468c0c..dde128463e 100644
--- a/gradio/inputs.py
+++ b/gradio/inputs.py
@@ -10,6 +10,7 @@ import numpy as np
 from PIL import Image, ImageOps
 import datetime
 import csv
+import pandas as pd
 
 # Where to find the static resources associated with each template.
 BASE_INPUT_INTERFACE_TEMPLATE_PATH = 'templates/input/{}.html'
@@ -211,9 +212,18 @@ class ImageUpload(AbstractInput):
         im = preprocessing_utils.encoding_to_image(inp)
         timestamp = datetime.datetime.now()
         im.save(f'gradio-flagged/{timestamp.strftime("%Y-%m-%d %H-%M-%S")}.png', 'PNG')
+
         f = open('gradio-flagged/gradio-flagged.csv','a+')
+        header = ['Gradio flag output: Records filename (timestamp) and associated output, as well confidences and second top two outputs (if they exist)']
+        columns = ['Filename (timestamp)','Label','Confidence','Label','Confidence','Label','Confidence']
         fields = [timestamp.strftime("%Y-%m-%d %H-%M-%S"),msg['data']['output']]
         writer = csv.writer(f)
+        # df = pd.read_csv('gradio-flagged/gradio-flagged.csv')
+        # if df.empty:
+        # sniffer = csv.Sniffer().sniff(f.readline())
+        # if sniffer.has_header(f.read(32)):
+        #     writer.writerow(header)
+        #     writer.writerow(columns)
         writer.writerow(fields)
         f.close()