update NB

test.ipynb

@@ -2,14 +2,14 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7863\n",
+      "Running on local URL:  http://127.0.0.1:7864\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -17,7 +17,7 @@
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7863/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+       "<div><iframe src=\"http://127.0.0.1:7864/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -41,13 +41,13 @@
    "source": [
     "import gradio as gr\n",
     "import pickle\n",
-    "import sklearn\n",
+    "\n",
     "\n",
     "title = \"VO2max calculator\"\n",
     "\n",
     "def greet(alder, høyde, vekt, kjønn, midje):\n",
-    "    filename = \"./SSO-VO2-model/VO2_020323.sav\"\n",
-    "    f = open(\"./SSO-VO2-model/VO2_020323.sav\", \"rb\")\n",
+    "    filename = \"./VO2_020323.sav\"\n",
+    "    f = open(filename, \"rb\")\n",
     "    model = pickle.load(f)\n",
     "    X = np.expand_dims(np.array([alder, høyde, vekt, kjønn, midje]),0)\n",
     "    y_hat = model.predict(X)\n",