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CHANGELOG.md

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## [0.8.0-beta.2](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.8.0-beta.1...v0.8.0-beta.2) (2024-05-04)
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## [0.8.0](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.7.0...v0.8.0) (2024-05-03)
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### Features
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* Enable end users to pass model instances of HuggingFaceHub ([7599234](https://github.com/VinciGit00/Scrapegraph-ai/commit/7599234ab9563ca4ee9b7f5b2d0267daac621ecf))
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## [0.8.0-beta.1](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.7.0...v0.8.0-beta.1) (2024-05-03)
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### Features
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docs/source/getting_started/installation.rst

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pip install scrapegraphai
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Additionally on Windows when using WSL
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. code-block:: bash
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sudo apt-get -y install libnss3 libnspr4 libgbm1 libasound2
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As simple as that! You are now ready to scrape gnamgnamgnam 👿👿👿
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pyproject.toml

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[tool.poetry]
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name = "scrapegraphai"
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version = "0.8.0b2"
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version = "0.8.0"
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description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines."
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authors = [
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pandas = "2.0.3"
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python-dotenv = "1.0.1"
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tiktoken = {version = ">=0.5.2,<0.6.0"}
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tqdm = "4.66.1"
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tqdm = "4.66.3"
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graphviz = "0.20.1"
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google = "3.0.0"
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minify-html = "0.15.0"

requirements.txt

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pandas==2.0.3
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python-dotenv==1.0.1
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tiktoken>=0.5.2,<0.6.0
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tqdm==4.66.1
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tqdm==4.66.3
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graphviz==0.20.1
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google==3.0.0
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minify-html==0.15.0

scrapegraphai/helpers/models_tokens.py

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"codellama": 16000,
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"dolphin-mixtral": 32000,
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"mistral-openorca": 32000,
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"stablelm-zephyr": 8192
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"stablelm-zephyr": 8192,
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"nomic-embed-text":8192
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},
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"groq": {
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"llama3-8b-8192": 8192,

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