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ci(release): 0.10.1 [skip ci]

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## [0.10.1](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.10.0...v0.10.1) (2024-05-11)

### Bug Fixes

* crash asyncio due dependency version ([2563773](2563773447))

### Docs

* fixed speechgraphexample ([4bf90f3](4bf90f32a8))
* fixed unused param and install ([cc28d5a](cc28d5a64f))
* **readme:** improve main readme ([ae5655f](ae5655fdde))
* update instructions to use with LocalAI ([198420c](198420c505))
* Update README.md ([772e064](772e064c55))
* updated sponsor logo ([f8d8d71](f8d8d71589))
This commit is contained in:
semantic-release-bot 2024-05-11 08:17:32 +00:00
parent 2563773447
commit d359814c4a
2 changed files with 18 additions and 1 deletions
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17
CHANGELOG.md
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## [0.10.1](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.10.0...v0.10.1) (2024-05-11)
### Bug Fixes
* crash asyncio due dependency version ([2563773](https://github.com/VinciGit00/Scrapegraph-ai/commit/25637734479a0da293860cf404a618eb5f49c7e2))
### Docs
* fixed speechgraphexample ([4bf90f3](https://github.com/VinciGit00/Scrapegraph-ai/commit/4bf90f32a8fbb5a06279ec3002200961458a1250))
* fixed unused param and install ([cc28d5a](https://github.com/VinciGit00/Scrapegraph-ai/commit/cc28d5a64f6e0e061f697262302403db875bc6fe))
* **readme:** improve main readme ([ae5655f](https://github.com/VinciGit00/Scrapegraph-ai/commit/ae5655fdde810e80d20d7918b0b2232e29ee3f56))
* update instructions to use with LocalAI ([198420c](https://github.com/VinciGit00/Scrapegraph-ai/commit/198420c505544c88805e719e2fc864f061c7de05))
* Update README.md ([772e064](https://github.com/VinciGit00/Scrapegraph-ai/commit/772e064c55f38ea296511f737dec9a412e0dbf4e))
* updated sponsor logo ([f8d8d71](https://github.com/VinciGit00/Scrapegraph-ai/commit/f8d8d71589ffc9ccde13259b50d309c7949beeb8))
## [0.10.0](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.9.0...v0.10.0) (2024-05-08)

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pyproject.toml
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[tool.poetry]
name = "scrapegraphai"
version = "0.10.0"
version = "0.10.1"
description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines."
authors = [