From 36292150daf6449d6af58fc18ced1771e70e45cc Mon Sep 17 00:00:00 2001 From: semantic-release-bot Date: Wed, 5 Jun 2024 07:18:31 +0000 Subject: [PATCH] ci(release): 1.5.5 [skip ci] ## [1.5.5](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.5.4...v1.5.5) (2024-06-05) ### Bug Fixes * bug on generate_answer_node ([1d38ed1](https://github.com/VinciGit00/Scrapegraph-ai/commit/1d38ed146afae95dae1f35ac51180a1882bf8a29)) ### Docs * add Japanese README ([4559ab6](https://github.com/VinciGit00/Scrapegraph-ai/commit/4559ab6db845a0d94371a09d0ed1e1623eed9ee2)) * update japanese.md ([f0042a8](https://github.com/VinciGit00/Scrapegraph-ai/commit/f0042a8e33f8fb8b113681ee0a9995d329bb0faa)) * update README.md ([871e398](https://github.com/VinciGit00/Scrapegraph-ai/commit/871e398a26786d264dbd1b2743864ed2cc12b3da)) --- CHANGELOG.md | 14 ++++++++++++++ pyproject.toml | 2 +- 2 files changed, 15 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 4e0e98e6..07d48c27 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,3 +1,17 @@ +## [1.5.5](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.5.4...v1.5.5) (2024-06-05) + + +### Bug Fixes + +* bug on generate_answer_node ([1d38ed1](https://github.com/VinciGit00/Scrapegraph-ai/commit/1d38ed146afae95dae1f35ac51180a1882bf8a29)) + + +### Docs + +* add Japanese README ([4559ab6](https://github.com/VinciGit00/Scrapegraph-ai/commit/4559ab6db845a0d94371a09d0ed1e1623eed9ee2)) +* update japanese.md ([f0042a8](https://github.com/VinciGit00/Scrapegraph-ai/commit/f0042a8e33f8fb8b113681ee0a9995d329bb0faa)) +* update README.md ([871e398](https://github.com/VinciGit00/Scrapegraph-ai/commit/871e398a26786d264dbd1b2743864ed2cc12b3da)) + ## [1.5.4](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.5.3...v1.5.4) (2024-05-31) diff --git a/pyproject.toml b/pyproject.toml index 1bef8c1a..15a9c789 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -2,7 +2,7 @@ name = "scrapegraphai" -version = "1.5.4" +version = "1.5.5" description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines."