fix minor bugs

docs/en/user-guide/training-guide.md

@@ -44,7 +44,7 @@ After the base model and dataset have been uploaded successfully, please follow
 5. The successfully trained LoRa model can be selected directly in **txt2img** or **img2img**, and used in image generation. More details refer to [txt2img guide](./txt2img-guide.md) or [img2img guide](./img2img-guide.md).
 
 ### Train Loss Visualization
-On the **Train Management** tab, all the finished training job will be listed in the **Training List**, click the training id and the logs will show the below reffered to the follwing figure. 
+On the **Train Management** tab, all the finished training job will be listed in the **Training List**, click the training id and the logs will show the below referred to the following figure. 
 ![Training List](../images/traininglist.jpg)
 Click the log event link and a new web page with loss tensorboard will be appeared as the below figure.
 ![Training Loss](../images/trainingloss.jpg)

middleware_api/endpoints/create_endpoint.py

@@ -144,7 +144,7 @@ def handler(raw_event, ctx):
 
         if event.workflow:
             if endpoint_type != 'async':
-                raise BadRequestException(message=f"Your cant create Async endpoint only for workflow currently")
+                raise BadRequestException(message=f"Your can't create Async endpoint only for workflow currently")
             short_id = event.workflow.name
 
         endpoint_name = f"{event.service_type}-{endpoint_type}-{short_id}"