refactor: update readme and add connect function

CHANGELOG.md

@@ -12,6 +12,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - Add `get_model` and `encode` method to encode docarray. ([#522](https://github.com/jina-ai/finetuner/pull/522))
 
+- Add connect function to package ([#532](https://github.com/jina-ai/finetuner/pull/532))
+
 ### Removed
 
 ### Changed
@@ -22,6 +24,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - Improve `describe_models` with open-clip models. ([#528](https://github.com/jina-ai/finetuner/pull/528))
 
+- Use stream logging in the README example ([#532](https://github.com/jina-ai/finetuner/pull/532))
+
 ### Fixed
 
 - Print logs before run status is `STARTED`. ([#531](https://github.com/jina-ai/finetuner/pull/531))

README.md

@@ -152,8 +152,9 @@ import finetuner
 finetuner.login()
 
 run = finetuner.get_run('resnet50-tll-run')
-print(run.status())
-print(run.logs())
+
+for msg in run.stream_logs():
+    print(msg)
 
 run.save_artifact('resnet-tll')
 ```
@@ -173,10 +174,9 @@ Finally, you can use the model to encode images:
 import finetuner
 from docarray import Document, DocumentArray
 
-model = finetuner.get_model('resnet-tll')
-
 da = DocumentArray([Document(uri='~/Pictures/your_img.png')])
 
+model = finetuner.get_model('resnet-tll')
 finetuner.encode(model=model, data=da)
 
 da.summary()

finetuner/__init__.py

@@ -34,6 +34,10 @@ def login():
     ft.login()
 
 
+def connect():
+    ft.connect()
+
+
 def list_callbacks() -> Dict[str, callback.CallbackStubType]:
     """List available callbacks."""
     return {