Label-studio

<!-- Release notes generated using configuration in .github/release.yml at release/1.0.3 -->

What's Changed
Bug Fixes
* fix: DIA-1144: Mensuration demo fixed by matt-bernstein in https://github.com/HumanSignal/label-studio-sdk/pull/253
* `project.update()` API changed to work with Label Studio Enterprise version

**Full Changelog**: https://github.com/HumanSignal/label-studio-sdk/compare/1.0.2...1.0.3

<!-- Release notes generated using configuration in .github/release.yml at release/1.0.2 -->

What's Changed
* feat: DIA-1144: SDK demo for mensuration and polling by matt-bernstein in https://github.com/HumanSignal/label-studio-sdk/pull/245
* Bugfix with calling `tasks.get()`
* Improving `actions` methods



**Full Changelog**: https://github.com/HumanSignal/label-studio-sdk/compare/1.0.1...1.0.2

<!-- Release notes generated using configuration in .github/release.yml at release/1.0.1 -->

What's Changed
Features
* Added `actions.create()` endpoint for managing tasks
* Added `query` parameter when for filtering, selecting and ordering tasks in `tasks.list()` call
Fixed issues
* Fixed pagination - now you can iterate `for task in ls.tasks.list()` without handling 404 error.
* Fixed `annotations` calls

Other Changes
* Add changes for the labeling interface by niklub in https://github.com/HumanSignal/label-studio-sdk/pull/230

<!-- Release notes generated using configuration in .github/release.yml at release/1.0.0 -->
We’re excited to announce the release of a new version the Label Studio SDK which includes a number of major improvements that will make working with our SDK and API considerably easier. It utilizes [Fern](https://buildwithfern.com/)](https://buildwithfern.com/) to automate SDK generation utilizing the OpenAPI schema.

Check our [updated documentation](https://api.labelstud.io/)

What’s new?

Here some of the key changes to this new SDK release:

- Clean and modular SDK design with idiomatic method names that follows SDK design best practices, with a clean hierarchy that reflects LS data models
- Typization and parameter validation to reduce potential for user errors
- Automated retries for more resilient calls
- Async client support that now allows users to evoke calls in async applications for more efficient throughput on project and task creation
- Auto-paginated calls for retrieving projects, tasks and users to make managing pagination less painful and allow users to iterate objects with simple “for taks in tasks” loops
- New functions including cloud storage data I/O management, managing batches of annotation, connecting ML backends, and configuring webhooks
- Enhanced test coverage and API compatibility with Label Studio versioning to introduce additional stability
- Added converter for import/export data formats using `label_studio_sdk.converter` to streamline conversions between Label Studio input/output and various common ML formats
- Greatly improved documentation

Backwards compatibility?

We do not anticipate that these SDK changes will be breaking and we have worked to ensure backwards compatibility with previous SDK versions if you’re using `from label_studio_sdk import Client` or `from label_studio_sdk.data_manager import *`for the legacy code. However, please note that other imports for old functions must be replaced with `from label_studio_sdk._legacy import Project` .

Also, the `_legacy` library will be deprecated; deprecation period `label-studio-sdk>=1,<2`.

We hope you enjoy working with this new API and look forward to hearing your feedback in the community Discourse.

New Contributors

Thanks to [Fern team](https://buildwithfern.com/) for their beautiful SDK autogeneration framework!

**Full Changelog**: https://github.com/HumanSignal/label-studio-sdk/compare/0.0.34...1.0.0

Fix LSF with TextArea editing mechanics
Fix labeling configs for NeMo
Fix predict drag&drop redirect on the model page

Cloud storage improvements
- Set up Microsoft Azure as source or target storage for tasks and completions ([keesschollaart81](https://github.com/keesschollaart81)).
- Set up Redis as source or target storage for tasks and completions. ([kasuteru](https://github.com/kasuteru))
- Added an option to set the Amazon AWS S3 endpoint with an environment variable when setting up cloud storage ([herber523](https://github.com/herber523)).

See [Cloud Storages](https://labelstud.io/guide/storage.html).
Automated Speech Recognition with Nvidia NeMo ML backend
- Added an example for Automatic Speech Recognition (ASR) machine learning backend using NVIDIA NeMo toolkit, including an ASR_MANIFEST export format.
- Updated the Label Studio Frontend for textarea labeling to make it easier to update transcription labels.
- Renamed the template "Whole Audio Transcription" to "Speech Transcription".
Other improvements
- POST a label config as XML using the API ([laynr](https://github.com/laynr)).
- Add a while loop to check for more busy ports ([UtrechtUniversity](https://github.com/UtrechtUniversity)).
- Use pre-labeling to make predictions for specific tasks by ID.
- No longer require tasks and completions to be ASCII-formatted, supporting non-ASCII languages like Persian ([578](https://github.com/heartexlabs/label-studio/issues/578))
- Improved the workflow for importing data to make it easier to fix label configuration errors.
- Improved the timeseries data import flow to make it clearer how to import from text files.
- Improved the multi-session mode experience.
Notable bug fixes
- Fixed an issue where exported data would have duplicate completions.
- Fixed a bug when uploading files in multi-session mode.
- Improved handling of timeseries and polygon labels.
- Fixed a bug where the .conll export format misses labels or assigns them to the subsequent token.