Small edits (#819)

docs/configs/clearml_conf.md

@@ -14,7 +14,7 @@ This reference page is organized by configuration file section:
 * [files](#files-section) - Define auto-generated files to apply into local file system
 
 
-An example configuration file is located [here](https://github.com/allegroai/clearml-agent/blob/master/docs/clearml.conf), 
+See an [example configuration file](https://github.com/allegroai/clearml-agent/blob/master/docs/clearml.conf), 
 in the ClearML Agent GitHub repository. 
 
 :::info

docs/guides/automation/task_piping.md

@@ -13,13 +13,13 @@ This example accomplishes a task pipe by doing the following:
 1. Creating the template Task which is named `Toy Base Task`. It must be stored in ClearML Server before instances of 
    it can be created. To create it, run another ClearML example script, [toy_base_task.py](https://github.com/allegroai/clearml/blob/master/examples/automation/toy_base_task.py).
    The template Task has a parameter dictionary, which is connected to the Task: `{'Example_Param': 1}`. 
-1. Back in `programmatic_orchestration.py`, creating a parameter dictionary, which is connected to the Task by calling [Task.connect](../../references/sdk/task.md#connect) 
+1. Back in `programmatic_orchestration.py`, creating a parameter dictionary, which is connected to the Task by calling [`Task.connect`](../../references/sdk/task.md#connect) 
    so that the parameters are logged by ClearML. The dictionary contains the name of the parameter from the template 
    Task that is going to be customized (`Example_Param`), as well as its new value.
-1. Creating a Task object referencing the template Task. See [Task.get_task](../../references/sdk/task.md#taskget_task).
+1. Creating a Task object referencing the template Task. See [`Task.get_task`](../../references/sdk/task.md#taskget_task).
 1. Creating an instance of the template Task by cloning it.
-1. Getting the newly cloned Task's parameters. See [Task.get_parameters](../../references/sdk/task.md#get_parameters).
-1. Setting the newly cloned Task's parameters to the search values in the parameter dictionary (Step 2). See [Task.set_parameters](../../references/sdk/task.md#set_parameters).
-1. Enqueuing the newly cloned Task to execute. See [Task.enqueue](../../references/sdk/task.md#taskenqueue).
+1. Getting the newly cloned Task's parameters. See [`Task.get_parameters`](../../references/sdk/task.md#get_parameters).
+1. Setting the newly cloned Task's parameters to the search values in the parameter dictionary (Step 2). See [`Task.set_parameters`](../../references/sdk/task.md#set_parameters).
+1. Enqueuing the newly cloned Task to execute. See [`Task.enqueue`](../../references/sdk/task.md#taskenqueue).
 
 When the example script runs, it creates an instance of the template experiment, named `Auto generated cloned task` in the `examples` project. In the instance, the value of the customized parameter, `Example_Param` changed to `3`. You can see it in **CONFIGURATION** **>** **HYPERPARAMETERS**.

docs/guides/distributed/distributed_pytorch_example.md

@@ -27,7 +27,7 @@ of the subprocess, making each unique.
 
 ```python
 Task.current_task().upload_artifact(
-    'temp {:02d}'.format(dist.get_rank()), 
+    name='temp {:02d}'.format(dist.get_rank()), 
     artifact_object={'worker_rank': dist.get_rank()}
 )
 ```

docs/guides/frameworks/pytorch/pytorch_distributed_example.md

@@ -28,7 +28,8 @@ on `Task.current_task` (the main Task). The dictionary contains the `dist.rank`
 
 ```python
 Task.current_task().upload_artifact(
-    'temp {:02d}'.format(dist.get_rank()), artifact_object={'worker_rank': dist.get_rank()}
+    name='temp {:02d}'.format(dist.get_rank()), 
+    artifact_object={'worker_rank': dist.get_rank()}
 )
 ```
 
@@ -44,7 +45,10 @@ same title (`loss`), but a different series name (containing the subprocess' `ra
 
 ```python
 Task.current_task().get_logger().report_scalar(
-    'loss', 'worker {:02d}'.format(dist.get_rank()), value=loss.item(), iteration=i
+    title='loss', 
+    series='worker {:02d}'.format(dist.get_rank()), 
+    value=loss.item(), 
+    iteration=i
 )
 ```
 

sidebars.js

@@ -141,8 +141,8 @@ module.exports = {
                     'webapp/applications/apps_trigger_manager',
                     'webapp/applications/apps_jupyter_lab',
                     'webapp/applications/apps_vscode',
-                    'webapp/applications/gradio',
-                    'webapp/applications/streamlit'
+                    'webapp/applications/apps_gradio',
+                    'webapp/applications/apps_streamlit'
                 ]
 
             },