generate-description.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import json\n",
    "\n",
    "from io import BytesIO\n",
    "from pathlib import Path\n",
    "\n",
    "from urllib.parse import urlparse\n",
    "from urllib.parse import parse_qs\n",
    "\n",
    "import requests\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from PIL import Image\n",
    "from jinja2 import Template"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "folder = Path('07-bentoml-production')\n",
    "\n",
    "os.makedirs(folder / 'images', exist_ok=True)\n",
    "\n",
    "with open(folder / 'meta.json') as f_in:\n",
    "    data = json.load(f_in)\n",
    "\n",
    "\n",
    "session = data['session']\n",
    "session_name = data['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "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>lesson</th>\n",
       "      <th>name</th>\n",
       "      <th>page_name</th>\n",
       "      <th>video</th>\n",
       "      <th>slides</th>\n",
       "      <th>notebook</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Intro/Session Overview</td>\n",
       "      <td>01-intro.md</td>\n",
       "      <td>https://www.youtube.com/watch?v=2viqmJ_NpgE</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Building Your Prediction Service with BentoML</td>\n",
       "      <td>02-build-bento-service.md</td>\n",
       "      <td>https://www.youtube.com/watch?v=bWdEVlUw1CA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Deploying Your Prediction Service</td>\n",
       "      <td>03-deploy-bento-service.md</td>\n",
       "      <td>https://www.youtube.com/watch?v=qpjLm_Lm4FA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Sending, Receiving and Validating Data</td>\n",
       "      <td>04-validation.md</td>\n",
       "      <td>https://www.youtube.com/watch?v=zNYtXde0BCA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>High-Performance Serving</td>\n",
       "      <td>05-high-performance.md</td>\n",
       "      <td>https://www.youtube.com/watch?v=LjDYPWhJBrY</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   lesson                                           name  \\\n",
       "0       1                         Intro/Session Overview   \n",
       "1       2  Building Your Prediction Service with BentoML   \n",
       "2       3              Deploying Your Prediction Service   \n",
       "3       4         Sending, Receiving and Validating Data   \n",
       "4       5                       High-Performance Serving   \n",
       "\n",
       "                    page_name                                        video  \\\n",
       "0                 01-intro.md  https://www.youtube.com/watch?v=2viqmJ_NpgE   \n",
       "1   02-build-bento-service.md  https://www.youtube.com/watch?v=bWdEVlUw1CA   \n",
       "2  03-deploy-bento-service.md  https://www.youtube.com/watch?v=qpjLm_Lm4FA   \n",
       "3            04-validation.md  https://www.youtube.com/watch?v=zNYtXde0BCA   \n",
       "4      05-high-performance.md  https://www.youtube.com/watch?v=LjDYPWhJBrY   \n",
       "\n",
       "  slides notebook  \n",
       "0                  \n",
       "1                  \n",
       "2                  \n",
       "3                  \n",
       "4                  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(folder / data['data'])\n",
    "df = df.fillna('')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ML Zoomcamp 7.1 - Intro/Session Overview\n",
      "\n",
      "\n",
      "Links:\n",
      "\n",
      "- Lesson page: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/01-intro.md\n",
      "- Notebook: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/\n",
      "- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp\n",
      "- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo\n",
      "- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ\n",
      "\n",
      "Join DataTalks.Club: https://datatalks.club/slack.html\n",
      "\n",
      "\n",
      "\n",
      "ML Zoomcamp 7.2 - Building Your Prediction Service With Bentoml\n",
      "\n",
      "\n",
      "Links:\n",
      "\n",
      "- Lesson page: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/02-build-bento-service.md\n",
      "- Notebook: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/\n",
      "- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp\n",
      "- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo\n",
      "- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ\n",
      "\n",
      "Join DataTalks.Club: https://datatalks.club/slack.html\n",
      "\n",
      "\n",
      "\n",
      "ML Zoomcamp 7.3 - Deploying Your Prediction Service\n",
      "\n",
      "\n",
      "Links:\n",
      "\n",
      "- Lesson page: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/03-deploy-bento-service.md\n",
      "- Notebook: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/\n",
      "- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp\n",
      "- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo\n",
      "- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ\n",
      "\n",
      "Join DataTalks.Club: https://datatalks.club/slack.html\n",
      "\n",
      "\n",
      "\n",
      "ML Zoomcamp 7.4 - Sending, Receiving And Validating Data\n",
      "\n",
      "\n",
      "Links:\n",
      "\n",
      "- Lesson page: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/04-validation.md\n",
      "- Notebook: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/\n",
      "- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp\n",
      "- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo\n",
      "- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ\n",
      "\n",
      "Join DataTalks.Club: https://datatalks.club/slack.html\n",
      "\n",
      "\n",
      "\n",
      "ML Zoomcamp 7.5 - High-Performance Serving\n",
      "\n",
      "\n",
      "Links:\n",
      "\n",
      "- Lesson page: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/05-high-performance.md\n",
      "- Notebook: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/\n",
      "- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp\n",
      "- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo\n",
      "- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ\n",
      "\n",
      "Join DataTalks.Club: https://datatalks.club/slack.html\n",
      "\n",
      "\n",
      "\n",
      "ML Zoomcamp 7.6 - Bento Production Deployment\n",
      "\n",
      "\n",
      "Links:\n",
      "\n",
      "- Lesson page: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/06-production-deployment.md\n",
      "- Notebook: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/\n",
      "- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp\n",
      "- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo\n",
      "- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ\n",
      "\n",
      "Join DataTalks.Club: https://datatalks.club/slack.html\n",
      "\n",
      "\n",
      "\n",
      "ML Zoomcamp 7.7 - (Optional) Advanced Example: Deploying Stable Diffusion Model\n",
      "\n",
      "\n",
      "Links:\n",
      "\n",
      "- Lesson page: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/07-stable-diffusion.md\n",
      "- Notebook: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/\n",
      "- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp\n",
      "- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo\n",
      "- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ\n",
      "\n",
      "Join DataTalks.Club: https://datatalks.club/slack.html\n",
      "\n",
      "\n",
      "\n",
      "ML Zoomcamp 7.8 - Summary\n",
      "\n",
      "\n",
      "Links:\n",
      "\n",
      "- Lesson page: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/08-summary.md\n",
      "- Notebook: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/\n",
      "- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp\n",
      "- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo\n",
      "- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ\n",
      "\n",
      "Join DataTalks.Club: https://datatalks.club/slack.html\n",
      "\n",
      "\n",
      "\n",
      "ML Zoomcamp 7.9 - Homework\n",
      "\n",
      "\n",
      "Links:\n",
      "\n",
      "- Lesson page: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/homework.md\n",
      "- Notebook: https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp/07-bentoml-production/\n",
      "- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp\n",
      "- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo\n",
      "- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ\n",
      "\n",
      "Join DataTalks.Club: https://datatalks.club/slack.html\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(df)):\n",
    "    row = df.loc[i]\n",
    "    \n",
    "    print('ML Zoomcamp %s.%s - %s' % (session, row.lesson, row['name'].title()))\n",
    "    print()\n",
    "    print()\n",
    "    \n",
    "    prefix = 'https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/course-zoomcamp'\n",
    "    lesson_page = '%s/%s/%s' % (prefix, folder, row.page_name)\n",
    "\n",
    "    description = [\n",
    "        'Links:',\n",
    "        '',\n",
    "        '- Lesson page: %s' % lesson_page,\n",
    "    ]\n",
    "    \n",
    "    if 'notebook' in row:\n",
    "        notebook_page = '%s/%s/%s' % (prefix, folder, row.notebook)\n",
    "        line = '- Notebook: %s' % notebook_page\n",
    "        description.append(line)\n",
    "    \n",
    "    if row.slides:\n",
    "        line = '- Slides: %s' % row.slides\n",
    "        description.append(line)\n",
    "        \n",
    "#     if i > 0:\n",
    "#         prev_row = df.loc[i - 1]\n",
    "#         line = '* Previous: [%s](%s)' % (prev_row['name'], prev_row.page_name)\n",
    "#         navigation.append(line)\n",
    "\n",
    "#     if i + 1 < len(df):\n",
    "#         next_row = df.loc[i + 1]\n",
    "#         line = '* Next: [%s](%s)' % (next_row['name'], next_row.page_name)\n",
    "#         navigation.append(line)\n",
    "    \n",
    "    more_lines = [\n",
    "        '- Course GitHub repo: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp',\n",
    "        '- Register here for the course: https://airtable.com/shryxwLd0COOEaqXo',\n",
    "        '- Public Google calendar: https://calendar.google.com/calendar/?cid=cGtjZ2tkbGc1OG9yb2lxa2Vwc2g4YXMzMmNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ',\n",
    "       # '- The book - Machine Learning Bookcamp: http://bit.ly/mlbookcamp (Get 40% off with code \"grigorevpc\")',\n",
    "        '',\n",
    "        'Join DataTalks.Club: https://datatalks.club/slack.html'\n",
    "    ]\n",
    "\n",
    "    description.extend(more_lines)\n",
    "    \n",
    "    print('\\n'.join(description))\n",
    "    \n",
    "    print()\n",
    "    print()\n",
    "    print()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## 7. [Production-Ready Machine Learning (Bento ML)](07-bentoml-production/)\n",
      "\n",
      "- 7.1 [Intro/Session Overview](07-bentoml-production/01-intro.md)\n",
      "- 7.2 [Building Your Prediction Service with BentoML](07-bentoml-production/02-build-bento-service.md)\n",
      "- 7.3 [Deploying Your Prediction Service](07-bentoml-production/03-deploy-bento-service.md)\n",
      "- 7.4 [Sending, Receiving and Validating Data](07-bentoml-production/04-validation.md)\n",
      "- 7.5 [High-Performance Serving](07-bentoml-production/05-high-performance.md)\n",
      "- 7.6 [Bento Production Deployment](07-bentoml-production/06-production-deployment.md)\n",
      "- 7.7 [(Optional) Advanced Example: Deploying Stable Diffusion Model](07-bentoml-production/07-stable-diffusion.md)\n",
      "- 7.8 [Summary](07-bentoml-production/08-summary.md)\n",
      "- 7.9 [Homework](07-bentoml-production/homework.md)\n"
     ]
    }
   ],
   "source": [
    "print('## %s. [%s](%s/)' % (session, session_name, folder))\n",
    "print()\n",
    "\n",
    "for i in range(len(df)):\n",
    "    row = df.loc[i]\n",
    "\n",
    "    print('- %s.%s [%s](%s/%s)' % (session, row.lesson, row['name'], folder, row.page_name))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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