revised PR

Signed-off-by: Miguel Brandão <[email protected]>

Author: HolyMichael

deepsearch/model/README.md

@@ -1,83 +0,0 @@
-# Model API
-> Currently in **beta**.
-
-The Model API is a unified and extensible inference API across different model kinds.
-
-Built-in model kind support includes NLP annotators and QA generators.
-
-## Installation
-To use the Model API, install including the `api` extra, i.e.:
-- with poetry:
-`poetry add "deepsearch-toolkit[api]"`
-- with pip: `pip install "deepsearch-toolkit[api]"`
-
-## Basic usage
-```python
-from deepsearch.model.server.config import Settings
-from deepsearch.model.server.model_app import ModelApp
-
-# (1) create an app
-app = ModelApp(settings=Settings())
-
-# (2) register your model(s)
-model = ...  # e.g. SimpleGeoNLPAnnotator()
-app.register_model(model)
-
-# (3) run the app
-app.run(host="127.0.0.1", port=8000)
-```
-
-### Settings
-App configuration is done in [`Settings`](server/config.py) based on
-[Pydantic Settings with dotenv support](https://docs.pydantic.dev/dev-v1/usage/settings/).
-
-E.g. the required API key can be injected via env var `DS_MODEL_API_KEY`.
-
-### OpenAPI
-The OpenAPI UI is served under `/docs`, i.e. by default at http://127.0.0.1:8000/docs.
-
-## Developing a new model
-To develop a new model class for an existing [kind](kinds/), inherit from the base model
-class of that kind and implement the abstract methods and attributes.
-
-The framework will automatically use the correct controller for your model.
-
-To use a custom controller instead, pass it to `ModelApp.register_model()` via the
-optional parameter `controller`.
-
-### Examples
-- [Dummy NLP annotator](examples/dummy_nlp_annotator/)
-- [Simple geo NLP annotator](examples/simple_geo_nlp_annotator/)
-- [Dummy QA generator](examples/dummy_qa_generator/)
-
-Note: these examples configure the app with API key "example123"; when running them, use
-the same key to access the protected endpoints.
-
-### Inference
-As as example, an input payload for the `/predict` endpoint for the geography annotator
-could look as follows (note that `deepsearch.res.ibm.com/x-deadline` should be a
-future timestamp):
-```json
-{
-    "apiVersion": "v1",
-    "kind": "NLPModel",
-    "metadata": {
-        "annotations": {
-            "deepsearch.res.ibm.com/x-deadline": "2024-04-20T12:26:01.479484+00:00",
-            "deepsearch.res.ibm.com/x-transaction-id": "abc",
-            "deepsearch.res.ibm.com/x-attempt-number": 5,
-            "deepsearch.res.ibm.com/x-max-attempts": 5
-        }
-    },
-    "spec": {
-        "findEntities": {
-            "entityNames": ["cities", "countries"],
-            "objectType": "text",
-            "texts": [
-                "Bern, the capital city of Switzerland, is built around a crook in the Aare River.",
-                "Athens is a major coastal urban area in the Mediterranean and is both the capital and largest city of Greece."
-            ]
-        }
-    }
-}
-```

deepsearch/model/examples/dummy_nlp_annotator/README.MD renamed to deepsearch/model/examples/dummy_nlp_annotator/README.md

@@ -18,4 +18,4 @@
 - [Custom CLI plugins](./cli_plugins.md)
 
 ## Custom models
-- [Custom model examples](./model.md)
+- [Model API](./model.md)