mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
102 lines
2.9 KiB
Plaintext
102 lines
2.9 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "ad553e51",
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"metadata": {},
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"source": [
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"# Async Chromium\n",
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"\n",
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"Chromium is one of the browsers supported by Playwright, a library used to control browser automation. \n",
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"\n",
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"By running `p.chromium.launch(headless=True)`, we are launching a headless instance of Chromium. \n",
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"\n",
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"Headless mode means that the browser is running without a graphical user interface.\n",
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"\n",
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"`AsyncChromiumLoader` load the page, and then we use `Html2TextTransformer` to trasnform to text."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1c3a4c19",
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"metadata": {},
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"outputs": [],
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"source": [
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"! pip install -q playwright beautifulsoup4\n",
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"! playwright install"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "dd2cdea7",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'<!DOCTYPE html><html lang=\"en\"><head><script src=\"https://s0.2mdn.net/instream/video/client.js\" asyn'"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from langchain.document_loaders import AsyncChromiumLoader\n",
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"urls = [\"https://www.wsj.com\"]\n",
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"loader = AsyncChromiumLoader(urls)\n",
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"docs = loader.load()\n",
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"docs[0].page_content[0:100]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "013caa7e",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"\"Skip to Main ContentSkip to SearchSkip to... Select * Top News * What's News *\\nFeatured Stories * Retirement * Life & Arts * Hip-Hop * Sports * Video *\\nEconomy * Real Estate * Sports * CMO * CIO * CFO * Risk & Compliance *\\nLogistics Report * Sustainable Business * Heard on the Street * Barron’s *\\nMarketWatch * Mansion Global * Penta * Opinion * Journal Reports * Sponsored\\nOffers Explore Our Brands * WSJ * * * * * Barron's * * * * * MarketWatch * * *\\n* * IBD # The Wall Street Journal SubscribeSig\""
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from langchain.document_transformers import Html2TextTransformer\n",
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"html2text = Html2TextTransformer()\n",
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"docs_transformed = html2text.transform_documents(docs)\n",
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"docs_transformed[0].page_content[0:500]"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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