Information collection for transparency story

We want to showcase an example to fulfill the transparency requirements from the AI act. There is a first collection in the [docs](https://github.com/aai-institute/twai-pipeline/blob/main/docs/explanations/transparency.md).

**Ideas:**

- [ ] json file for static system information (e.g. intended use, responsible persons/institution, contacts)
- [ ] model signature (source: mlflow) + model prediction endpoint (swagger UI)
- [ ] evaluation results (metrics + plots)
- [ ] fairness scores with explanation
- [ ] data source
- [ ] [huggingface model card template](https://clear.ml/docs/latest/docs/webapp/webapp_exp_track_visual/#execution)

**Missing information (not yet traced):**
- [ ] commit hash
- [ ] serving endpoint runtime (dependencies) information (make available via separate endpoint), check [this collection from clearml for inspiration](https://clear.ml/docs/latest/docs/webapp/webapp_exp_track_visual/#execution)
- [ ] implement raw information collection step in pipeline (result zip archive logged in datalake/ mlflow)

**Things to check:**