[docs] Include all components in the API reference (#15805)

* Update docs

Co-authored-by: Jirka Borovec <[email protected]>

Author: akihironitta

docs/source-app/api_references.rst

@@ -32,11 +32,19 @@ ___________________
     :nosignatures:
     :template: classtemplate_no_index.rst
 
+    ~database.client.DatabaseClient
+    ~database.server.Database
     ~python.popen.PopenPythonScript
     ~python.tracer.TracerPythonScript
     ~training.LightningTrainerScript
     ~serve.gradio.ServeGradio
     ~serve.serve.ModelInferenceAPI
+    ~serve.python_server.PythonServer
+    ~serve.streamlit.ServeStreamlit
+    ~multi_node.base.MultiNode
+    ~multi_node.lite.LiteMultiNode
+    ~multi_node.pytorch_spawn.PyTorchSpawnMultiNode
+    ~multi_node.trainer.LightningTrainerMultiNode
     ~auto_scaler.AutoScaler
 
 ----

src/lightning_app/components/serve/python_server.py

@@ -114,26 +114,26 @@ def __init__(  # type: ignore
                 The default data type is good enough for the basic usecases and it expects the data
                 to be a json object that has one key called `payload`
 
-                ```
-                input_data = {"payload": "some data"}
-                ```
+                .. code-block:: python
+
+                    input_data = {"payload": "some data"}
 
                 and this can be accessed as `request.payload` in the `predict` method.
 
-                ```
-                def predict(self, request):
-                    data = request.payload
-                ```
+                .. code-block:: python
+
+                    def predict(self, request):
+                        data = request.payload
 
             output_type: Optional `output_type` to be provided. This needs to be a pydantic BaseModel class.
                 The default data type is good enough for the basic usecases. It expects the return value of
                 the `predict` method to be a dictionary with one key called `prediction`.
 
-                ```
-                def predict(self, request):
-                    # some code
-                    return {"prediction": "some data"}
-                ```
+                .. code-block:: python
+
+                    def predict(self, request):
+                        # some code
+                        return {"prediction": "some data"}
 
                 and this can be accessed as `response.json()["prediction"]` in the client if
                 you are using requests library