[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

README.md

@@ -16,11 +16,11 @@ A tool to annotate cell types in scRNA-seq data based on marker genes using Open
 
 ## Key features
 
--   Automatically annotate cells including type, state and confidence fields.
--   Generate consistent annotations across samples of your study.
--   Optionally infuse prior knowledge by providing information about your biological system.
--   Retrieve reliable results thanks to [OpenAI structured outputs](https://platform.openai.com/docs/guides/structured-outputs)
--   Use this tool to quickly generate pre-integration cell type labels to either score your integration quality (e.g. [scIB metrics](https://scib-metrics.readthedocs.io/en/stable/)) or to guide your integration effort (e.g. [scPoli](https://docs.scarches.org/en/latest/), [scANVI](https://docs.scvi-tools.org/en/stable/api/reference/scvi.model.SCANVI.html)).
+- Automatically annotate cells including type, state and confidence fields.
+- Generate consistent annotations across samples of your study.
+- Optionally infuse prior knowledge by providing information about your biological system.
+- Retrieve reliable results thanks to [OpenAI structured outputs](https://platform.openai.com/docs/guides/structured-outputs)
+- Use this tool to quickly generate pre-integration cell type labels to either score your integration quality (e.g. [scIB metrics](https://scib-metrics.readthedocs.io/en/stable/)) or to guide your integration effort (e.g. [scPoli](https://docs.scarches.org/en/latest/), [scANVI](https://docs.scvi-tools.org/en/stable/api/reference/scvi.model.SCANVI.html)).
 
 Note that this package is based on output generated by large language models and might **sometimes make mistakes**. We use some safeguards, like anchoring the tool in a multi-step process, and using structured output predictions, but mistakes are still possible. We recommend using this tool as a first step in an annotation workflow to generate an initial, coarse set of annotations that must be further refined.