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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "CAFh4lY1FR3S"
+ },
+ "source": [
+ "Python script to send POST request"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "5XKBySblIBym"
+ },
+ "source": [
+ "Top ten highest grossing films in 2021 so far (US box office):\n",
+ "\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "St0eQTpyIkUd"
+ },
+ "source": [
+ "NB: Mortal Kombat is a martial-arts thriller film. In trainng dataset, the term martial-arts was not hypenated, so decided not to when creating small testing set."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "metadata": {
+ "executionInfo": {
+ "elapsed": 462,
+ "status": "ok",
+ "timestamp": 1621483094754,
+ "user": {
+ "displayName": "Matthew Ipindamitan",
+ "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14Ghfx9T0gQmYjyJnrRC2_JcVk1sVXpNeckv-pW3OGQ=s64",
+ "userId": "14221568594772652826"
+ },
+ "user_tz": -60
+ },
+ "id": "Qct-7o_RFb5X"
+ },
+ "outputs": [],
+ "source": [
+ "import requests\n",
+ "import pandas as pd\n",
+ "from bs4 import BeautifulSoup as bs"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 74,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 343
+ },
+ "executionInfo": {
+ "elapsed": 2943,
+ "status": "ok",
+ "timestamp": 1621486158365,
+ "user": {
+ "displayName": "Matthew Ipindamitan",
+ "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14Ghfx9T0gQmYjyJnrRC2_JcVk1sVXpNeckv-pW3OGQ=s64",
+ "userId": "14221568594772652826"
+ },
+ "user_tz": -60
+ },
+ "id": "I6V-PU1-F1MR",
+ "outputId": "ad0c6fea-4bad-4dbb-8de5-1660fb8164a5"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>Title</th>\n",
+ " <th>Genre</th>\n",
+ " <th>Wiki Page</th>\n",
+ " <th>Plot</th>\n",
+ " <th>Genre Prediction</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>Godzilla vs. Kong</td>\n",
+ " <td>Monster</td>\n",
+ " <td>https://en.wikipedia.org/wiki/Godzilla_vs._Kong</td>\n",
+ " <td>Five years after Godzilla defeated King Ghidor...</td>\n",
+ " <td>action</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>Raya and the Last Dragon</td>\n",
+ " <td>Animated Fantasy Action Adventure</td>\n",
+ " <td>https://en.wikipedia.org/wiki/Raya_and_the_Las...</td>\n",
+ " <td>The prosperous land of Kumandra is ravaged by ...</td>\n",
+ " <td>action</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>Tom & Jerry</td>\n",
+ " <td>live-action animated comedy slapstick</td>\n",
+ " <td>https://en.wikipedia.org/wiki/Tom_%26_Jerry_(2...</td>\n",
+ " <td>In Manhattan, Tom Cat, who dreams of becoming ...</td>\n",
+ " <td>comedy romance</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>Demon Slayer: Kimetsu no Yaiba the Movie: Muge...</td>\n",
+ " <td>animated dark fantasy period action</td>\n",
+ " <td>https://en.wikipedia.org/wiki/Demon_Slayer:_Ki...</td>\n",
+ " <td>Tanjiro Kamado, his demon sister Nezuko, Zenit...</td>\n",
+ " <td>action thriller</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>Mortal Kombat</td>\n",
+ " <td>martial art fantasy</td>\n",
+ " <td>https://en.wikipedia.org/wiki/Mortal_Kombat_(2...</td>\n",
+ " <td>In 17th-century Japan, Lin Kuei assassins led ...</td>\n",
+ " <td>action</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>Nobody</td>\n",
+ " <td>action thriller</td>\n",
+ " <td>https://en.wikipedia.org/wiki/Nobody_(2021_film)</td>\n",
+ " <td>Hutch Mansell is a seemingly ordinary man; he ...</td>\n",
+ " <td></td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>The Marksman</td>\n",
+ " <td>action thriller</td>\n",
+ " <td>https://en.wikipedia.org/wiki/The_Marksman_(20...</td>\n",
+ " <td>Former-United States Marine Corps Scout Sniper...</td>\n",
+ " <td>drama</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>The Little Things</td>\n",
+ " <td>neo-noir crime thriller</td>\n",
+ " <td>https://en.wikipedia.org/wiki/The_Little_Thing...</td>\n",
+ " <td>One night in 1990, a girl drives on a highway,...</td>\n",
+ " <td>thriller</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>Wrath of Man</td>\n",
+ " <td>action thriller</td>\n",
+ " <td>https://en.wikipedia.org/wiki/Wrath_of_Man</td>\n",
+ " <td>Patrick Hill begins work at Fortico Security, ...</td>\n",
+ " <td>action thriller</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>The Unholy</td>\n",
+ " <td>supernatural horror</td>\n",
+ " <td>https://en.wikipedia.org/wiki/The_Unholy_(2021...</td>\n",
+ " <td>The film opens with the execution of a woman a...</td>\n",
+ " <td>thriller</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Title ... Genre Prediction\n",
+ "0 Godzilla vs. Kong ... action\n",
+ "1 Raya and the Last Dragon ... action\n",
+ "2 Tom & Jerry ... comedy romance\n",
+ "3 Demon Slayer: Kimetsu no Yaiba the Movie: Muge... ... action thriller\n",
+ "4 Mortal Kombat ... action\n",
+ "5 Nobody ... \n",
+ "6 The Marksman ... drama\n",
+ "7 The Little Things ... thriller\n",
+ "8 Wrath of Man ... action thriller\n",
+ "9 The Unholy ... thriller\n",
+ "\n",
+ "[10 rows x 5 columns]"
+ ]
+ },
+ "execution_count": 74,
+ "metadata": {
+ "tags": []
+ },
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "post_url=\"http://20.86.144.56/predict\"\n",
+ "test_set_file= 'testing_dataset.csv'\n",
+ "\n",
+ "ten_movies = pd.read_csv(test_set_file, delimiter=\",\")\n",
+ "\n",
+ "def post_request(movie_plot):\n",
+ " return [pred.text.strip() for pred in bs(requests.post(post_url, data={'plot': movie_plot}).text, 'html.parser').find_all('li')]\n",
+ "\n",
+ "ten_movies[\"Genre Prediction\"] = [\" \".join(post_request(movie_plot)) for movie_plot in ten_movies['Plot']]\n",
+ "\n",
+ "ten_movies\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "colab": {
+ "authorship_tag": "ABX9TyMy/2pz9mg3aZKlse96sLy5",
+ "collapsed_sections": [],
+ "name": "Python post script",
+ "provenance": []
+ },
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}