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.ipynb_checkpoints/Model Deployment-checkpoint.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a039038d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from flask import Flask, render_template, request\n",
+    "import joblib\n",
+    "from datetime import date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "72ca2b80",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ExtraTreesClassifier()"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model = joblib.load('model.pkl')\n",
+    "model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "d8644c65",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "app = Flask(__name__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "199c0604",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2022"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "year = date.today().year\n",
+    "year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1b57ef0e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@app.route(\"/\")\n",
+    "def home():\n",
+    "    return render_template('home.html',current_year=year)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "ed816e8b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@app.route(\"/predict\", methods=[\"GET\",\"POST\"])\n",
+    "def predict():\n",
+    "    if request.method == \"POST\":\n",
+    "        ph = request.form['ph'] #Range: (0.00,14.00)\n",
+    "        hardness = request.form['hardness'] #Range: (117.12,276.39)\n",
+    "        solids = request.form['solids'] #Range: (320.94,44831.86)\n",
+    "        chloramines = request.form['chloramines'] #Range: (3.14,11.09)\n",
+    "        sulfate = request.form['sulfate'] #Range: (267.15,400.32)\n",
+    "        conductivity = request.form['conductivity'] #Range: (191.64,655.87)\n",
+    "        organic_carbon = request.form['organic_carbon'] #Range: (5.32,23.29)\n",
+    "        trihalomethanes = request.form['trihalomethanes'] #Range: (26.61,106.69)\n",
+    "        turbidity = request.form['turbidity'] #Range: (1.84,6.09)\n",
+    "        \n",
+    "        predictions = model.predict([[\n",
+    "            ph,\n",
+    "            hardness,\n",
+    "            solids,\n",
+    "            chloramines,\n",
+    "            sulfate,\n",
+    "            conductivity,\n",
+    "            organic_carbon,\n",
+    "            trihalomethanes,\n",
+    "            turbidity\n",
+    "        ]])\n",
+    "        \n",
+    "        output = int(predictions[0])\n",
+    "        \n",
+    "        if output == 1:\n",
+    "            return render_template('home.html',current_year=year,prediction_text=\"The water with given details is pure and potable enough to drink and meets the federal standards for domestic consumption.\")\n",
+    "        else:\n",
+    "            return render_template('home.html',current_year=year,prediction_text=\"The water with specified details is impure, contaminated and non-potable. It may not be suitable for domestic consumption.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb97512c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " * Serving Flask app '__main__' (lazy loading)\n",
+      " * Environment: production\n",
+      "\u001b[31m   WARNING: This is a development server. Do not use it in a production deployment.\u001b[0m\n",
+      "\u001b[2m   Use a production WSGI server instead.\u001b[0m\n",
+      " * Debug mode: off\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " * Running on http://127.0.0.1:8080/ (Press CTRL+C to quit)\n",
+      "127.0.0.1 - - [05/Jun/2022 22:54:35] \"GET / HTTP/1.1\" 200 -\n",
+      "127.0.0.1 - - [05/Jun/2022 22:54:51] \"POST /predict HTTP/1.1\" 200 -\n"
+     ]
+    }
+   ],
+   "source": [
+    "if __name__ == \"__main__\":\n",
+    "    app.run(port=8080)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}