sourcegraph.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
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      "\u001b[2K     \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.6/57.6 kB\u001b[0m \u001b[31m922.1 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0mMB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\n",
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      "Collecting google-generativeai<0.5.0,>=0.4.1 (from langchain-google-genai==1.0.1->scrapegraphai==0.9.0b7)\n",
      "  Downloading google_generativeai-0.4.1-py3-none-any.whl.metadata (6.2 kB)\n",
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      "Collecting google-ai-generativelanguage==0.4.0 (from google-generativeai<0.5.0,>=0.4.1->langchain-google-genai==1.0.1->scrapegraphai==0.9.0b7)\n",
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      "\u001b[?25hDownloading google_ai_generativelanguage-0.4.0-py3-none-any.whl (598 kB)\n",
      "\u001b[2K   \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m598.7/598.7 kB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25hInstalling collected packages: tqdm, html2text, graphviz, tiktoken, pandas, langchain-openai, google-ai-generativelanguage, langchain, google-generativeai, langchain-google-genai, scrapegraphai\n",
      "  Attempting uninstall: tqdm\n",
      "    Found existing installation: tqdm 4.66.4\n",
      "    Uninstalling tqdm-4.66.4:\n",
      "      Successfully uninstalled tqdm-4.66.4\n",
      "  Attempting uninstall: html2text\n",
      "    Found existing installation: html2text 2024.2.26\n",
      "    Uninstalling html2text-2024.2.26:\n",
      "      Successfully uninstalled html2text-2024.2.26\n",
      "  Attempting uninstall: graphviz\n",
      "    Found existing installation: graphviz 0.20.3\n",
      "    Uninstalling graphviz-0.20.3:\n",
      "      Successfully uninstalled graphviz-0.20.3\n",
      "  Attempting uninstall: tiktoken\n",
      "    Found existing installation: tiktoken 0.6.0\n",
      "    Uninstalling tiktoken-0.6.0:\n",
      "      Successfully uninstalled tiktoken-0.6.0\n",
      "  Attempting uninstall: pandas\n",
      "    Found existing installation: pandas 2.2.2\n",
      "    Uninstalling pandas-2.2.2:\n",
      "      Successfully uninstalled pandas-2.2.2\n",
      "  Attempting uninstall: langchain-openai\n",
      "    Found existing installation: langchain-openai 0.1.6\n",
      "    Uninstalling langchain-openai-0.1.6:\n",
      "      Successfully uninstalled langchain-openai-0.1.6\n",
      "  Attempting uninstall: google-ai-generativelanguage\n",
      "    Found existing installation: google-ai-generativelanguage 0.6.2\n",
      "    Uninstalling google-ai-generativelanguage-0.6.2:\n",
      "      Successfully uninstalled google-ai-generativelanguage-0.6.2\n",
      "  Attempting uninstall: langchain\n",
      "    Found existing installation: langchain 0.1.15\n",
      "    Uninstalling langchain-0.1.15:\n",
      "      Successfully uninstalled langchain-0.1.15\n",
      "  Attempting uninstall: google-generativeai\n",
      "    Found existing installation: google-generativeai 0.5.2\n",
      "    Uninstalling google-generativeai-0.5.2:\n",
      "      Successfully uninstalled google-generativeai-0.5.2\n",
      "  Attempting uninstall: langchain-google-genai\n",
      "    Found existing installation: langchain-google-genai 1.0.3\n",
      "    Uninstalling langchain-google-genai-1.0.3:\n",
      "      Successfully uninstalled langchain-google-genai-1.0.3\n",
      "  Attempting uninstall: scrapegraphai\n",
      "    Found existing installation: scrapegraphai 0.10.0\n",
      "    Uninstalling scrapegraphai-0.10.0:\n",
      "      Successfully uninstalled scrapegraphai-0.10.0\n",
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "mergekit 0.0.4.1 requires tqdm==4.66.2, but you have tqdm 4.66.3 which is incompatible.\u001b[0m\u001b[31m\n",
      "\u001b[0mSuccessfully installed google-ai-generativelanguage-0.4.0 google-generativeai-0.4.1 graphviz-0.20.1 html2text-2020.1.16 langchain-0.1.14 langchain-google-genai-1.0.1 langchain-openai-0.1.1 pandas-2.0.3 scrapegraphai-0.9.0b7 tiktoken-0.5.2 tqdm-4.66.3\n"
     ]
    }
   ],
   "source": [
    "!pip3 install scrapegraphai==0.9.0b7 --upgrade\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Chromium 124.0.6367.29 (playwright build v1112) downloaded to /Users/1littlecoder/Library/Caches/ms-playwright/chromium-1112\n",
      "Downloading FFMPEG playwright build v1009\u001b[2m from https://playwright.azureedge.net/builds/ffmpeg/1009/ffmpeg-mac-arm64.zip\u001b[22m\n",
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      "FFMPEG playwright build v1009 downloaded to /Users/1littlecoder/Library/Caches/ms-playwright/ffmpeg-1009\n",
      "Downloading Firefox 124.0 (playwright build v1447)\u001b[2m from https://playwright.azureedge.net/builds/firefox/1447/firefox-mac-13-arm64.zip\u001b[22m\n",
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      "Firefox 124.0 (playwright build v1447) downloaded to /Users/1littlecoder/Library/Caches/ms-playwright/firefox-1447\n",
      "Downloading Webkit 17.4 (playwright build v1992)\u001b[2m from https://playwright.azureedge.net/builds/webkit/1992/webkit-mac-13-arm64.zip\u001b[22m\n",
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      "Webkit 17.4 (playwright build v1992) downloaded to /Users/1littlecoder/Library/Caches/ms-playwright/webkit-1992\n"
     ]
    }
   ],
   "source": [
    "!playwright install"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!ollama pull mistral"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!ollama pull nomic-embed-text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scrapegraphai.graphs import SmartScraperGraph\n",
    "\n",
    "graph_config = {\n",
    "    \"llm\": {\n",
    "        \"model\": \"ollama/mistral\",\n",
    "        \"temperature\": 0,\n",
    "        \"format\": \"json\",  # Ollama needs the format to be specified explicitly\n",
    "        \"base_url\": \"http://localhost:11434\",  # set Ollama URL\n",
    "    },\n",
    "    \"embeddings\": {\n",
    "        \"model\": \"ollama/nomic-embed-text\",\n",
    "        \"base_url\": \"http://localhost:11434\",  # set Ollama URL\n",
    "    }\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "smart_scraper_graph = SmartScraperGraph(\n",
    "    prompt=\"List me top latest article\",\n",
    "    # also accepts a string with the already downloaded HTML code\n",
    "    source=\"https://www.espncricinfo.com/\",\n",
    "    config=graph_config\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nest_asyncio\n",
    "nest_asyncio.apply()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'version': '1.1', 'title': \"IPL 2024: McClenaghan on Rahul's need for confidence, Sangakkara backs Samson for T20 WC | ESPNcricinfo.com\", 'description': \"Get the latest updates from IPL 2024 as McClenaghan talks about Rahul's need for confidence and Sangakkara backs Samson for the T20 World Cup.\", 'image': 'https://a.espncdn.com/combiner/i/info-graphics/cricket/2024/05/10/1368798_1368798_1368798_1368798_1368798.jpg?width=1200&height=630', 'datePublished': '2024-05-10T13:30:00Z', 'dateModified': '2024-05-10T13:30:00Z', 'author': {'name': 'ESPNcricinfo Staff'}, 'publisher': {'name': 'ESPNCricinfo.com', 'logo': {'url': 'https://a.espncdn.com/combiner/i/espn/logo-espncricinfo.png?width=300&height=150', 'width': 300, 'height': 150}, 'section': 'Cricket', 'contentType': 'video', 'duration': 'PT2M48S', 'thumbnailUrl': 'https://a.espncdn.com/combiner/i/info-graphics/cricket/2024/05/10/1368798_1368798_1368798_1368798_1368798.jpg?width=1200&height=630', 'embedHtml': '<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/-vZjKzJwWxk?rel=0&amp;showinfo=0\" frameborder=\"0\" allowfullscreen></iframe>', 'keywords': ['IPL 2024', 'Rahul', 'McClenaghan', 'confidence', 'Sangakkara', 'Samson', 'T20 World Cup'], 'categories': [{'term': 'Cricket'}], 'interactionCount': {'viewItemCount': 1, 'upvoteCount': 0, 'downvoteCount': 0, 'commentCount': 0}, 'source': {'name': 'YouTube', 'url': 'https://www.youtube.com/embed/-vZjKzJwWxk?rel=0&amp;showinfo=0'}}}\n"
     ]
    }
   ],
   "source": [
    "\n",
    "result = smart_scraper_graph.run()\n",
    "print(result)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/1littlecoder/Library/Python/3.9/lib/python/site-packages/IPython/core/formatters.py:344: FutureWarning: RangeIndex.format is deprecated and will be removed in a future version. Convert using index.astype(str) or index.map(formatter) instead.\n",
      "  return method()\n"
     ]
    },
    {
     "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: []"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "# Creating a DataFrame\n",
    "df = pd.DataFrame(result['articles'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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    "name": "ipython",
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