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app.ipynb

@@ -0,0 +1,246 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gradio as gr\n",
+    "import tensorflow as tf\n",
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "model_path = \"kia_apartment_keras_model.keras\"\n",
+    "model = tf.keras.models.load_model(model_path)\n",
+    "\n",
+    "df_bfs_data = pd.read_csv('bfs_municipality_and_tax_data.csv', sep=',', encoding='utf-8')\n",
+    "df_bfs_data['tax_income'] = df_bfs_data['tax_income'].str.replace(\"'\", \"\").astype(float)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "locations = {\n",
+    "    \"Zürich\": 261,\n",
+    "    \"Kloten\": 62,\n",
+    "    \"Uster\": 198,\n",
+    "    \"Illnau-Effretikon\": 296,\n",
+    "    \"Feuerthalen\": 27,\n",
+    "    \"Pfäffikon\": 177,\n",
+    "    \"Ottenbach\": 11,\n",
+    "    \"Dübendorf\": 191,\n",
+    "    \"Richterswil\": 138,\n",
+    "    \"Maur\": 195,\n",
+    "    \"Embrach\": 56,\n",
+    "    \"Bülach\": 53,\n",
+    "    \"Winterthur\": 230,\n",
+    "    \"Oetwil am See\": 157,\n",
+    "    \"Russikon\": 178,\n",
+    "    \"Obfelden\": 10,\n",
+    "    \"Wald (ZH)\": 120,\n",
+    "    \"Niederweningen\": 91,\n",
+    "    \"Dällikon\": 84,\n",
+    "    \"Buchs (ZH)\": 83,\n",
+    "    \"Rüti (ZH)\": 118,\n",
+    "    \"Hittnau\": 173,\n",
+    "    \"Bassersdorf\": 52,\n",
+    "    \"Glattfelden\": 58,\n",
+    "    \"Opfikon\": 66,\n",
+    "    \"Hinwil\": 117,\n",
+    "    \"Regensberg\": 95,\n",
+    "    \"Langnau am Albis\": 136,\n",
+    "    \"Dietikon\": 243,\n",
+    "    \"Erlenbach (ZH)\": 151,\n",
+    "    \"Kappel am Albis\": 6,\n",
+    "    \"Stäfa\": 158,\n",
+    "    \"Zell (ZH)\": 231,\n",
+    "    \"Turbenthal\": 228,\n",
+    "    \"Oberglatt\": 92,\n",
+    "    \"Winkel\": 72,\n",
+    "    \"Volketswil\": 199,\n",
+    "    \"Kilchberg (ZH)\": 135,\n",
+    "    \"Wetzikon (ZH)\": 121,\n",
+    "    \"Zumikon\": 160,\n",
+    "    \"Weisslingen\": 180,\n",
+    "    \"Elsau\": 219,\n",
+    "    \"Hettlingen\": 221,\n",
+    "    \"Rüschlikon\": 139,\n",
+    "    \"Stallikon\": 13,\n",
+    "    \"Dielsdorf\": 86,\n",
+    "    \"Wallisellen\": 69,\n",
+    "    \"Dietlikon\": 54,\n",
+    "    \"Meilen\": 156,\n",
+    "    \"Wangen-Brüttisellen\": 200,\n",
+    "    \"Flaach\": 28,\n",
+    "    \"Regensdorf\": 96,\n",
+    "    \"Niederhasli\": 90,\n",
+    "    \"Bauma\": 297,\n",
+    "    \"Aesch (ZH)\": 241,\n",
+    "    \"Schlieren\": 247,\n",
+    "    \"Dürnten\": 113,\n",
+    "    \"Unterengstringen\": 249,\n",
+    "    \"Gossau (ZH)\": 115,\n",
+    "    \"Oberengstringen\": 245,\n",
+    "    \"Schleinikon\": 98,\n",
+    "    \"Aeugst am Albis\": 1,\n",
+    "    \"Rheinau\": 38,\n",
+    "    \"Höri\": 60,\n",
+    "    \"Rickenbach (ZH)\": 225,\n",
+    "    \"Rafz\": 67,\n",
+    "    \"Adliswil\": 131,\n",
+    "    \"Zollikon\": 161,\n",
+    "    \"Urdorf\": 250,\n",
+    "    \"Hombrechtikon\": 153,\n",
+    "    \"Birmensdorf (ZH)\": 242,\n",
+    "    \"Fehraltorf\": 172,\n",
+    "    \"Weiach\": 102,\n",
+    "    \"Männedorf\": 155,\n",
+    "    \"Küsnacht (ZH)\": 154,\n",
+    "    \"Hausen am Albis\": 4,\n",
+    "    \"Hochfelden\": 59,\n",
+    "    \"Fällanden\": 193,\n",
+    "    \"Greifensee\": 194,\n",
+    "    \"Mönchaltorf\": 196,\n",
+    "    \"Dägerlen\": 214,\n",
+    "    \"Thalheim an der Thur\": 39,\n",
+    "    \"Uetikon am See\": 159,\n",
+    "    \"Seuzach\": 227,\n",
+    "    \"Uitikon\": 248,\n",
+    "    \"Affoltern am Albis\": 2,\n",
+    "    \"Geroldswil\": 244,\n",
+    "    \"Niederglatt\": 89,\n",
+    "    \"Thalwil\": 141,\n",
+    "    \"Rorbas\": 68,\n",
+    "    \"Pfungen\": 224,\n",
+    "    \"Weiningen (ZH)\": 251,\n",
+    "    \"Bubikon\": 112,\n",
+    "    \"Neftenbach\": 223,\n",
+    "    \"Mettmenstetten\": 9,\n",
+    "    \"Otelfingen\": 94,\n",
+    "    \"Flurlingen\": 29,\n",
+    "    \"Stadel\": 100,\n",
+    "    \"Grüningen\": 116,\n",
+    "    \"Henggart\": 31,\n",
+    "    \"Dachsen\": 25,\n",
+    "    \"Bonstetten\": 3,\n",
+    "    \"Bachenbülach\": 51,\n",
+    "    \"Horgen\": 295\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define the core prediction function\n",
+    "def predict_apartment(rooms, area, town):\n",
+    "    bfs_number = locations[town]\n",
+    "    df = df_bfs_data[df_bfs_data['bfs_number']==bfs_number]\n",
+    "    \n",
+    "    if len(df) != 1: # if there are more than two records with the same bfs_number reutrn -1\n",
+    "        return -1\n",
+    "    \n",
+    "    input_data = np.array([rooms, area, df['pop'].iloc[0], df['pop_dens'].iloc[0], df['frg_pct'].iloc[0], df['emp'].iloc[0], df['tax_income'].iloc[0]])\n",
+    "    input_data = input_data.reshape(1, 7)\n",
+    "    prediction = model.predict(input_data)\n",
+    "    return float(np.round(prediction[0][0], 0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7863\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "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>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 91ms/step\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create the Gradio interface\n",
+    "iface = gr.Interface(\n",
+    "    fn=predict_apartment,\n",
+    "    inputs=[\"number\", \"number\", gr.Dropdown(choices=locations.keys(), label=\"Town\", type=\"value\")],\n",
+    "    outputs=gr.Number(),\n",
+    "    examples=[[4.5, 120, \"Dietlikon\"], [3.5, 60, \"Winterthur\"]]\n",
+    ")\n",
+    "\n",
+    "iface.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv_new",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}