waiting for finetuned model result instead polling (#44504)

* Using correct method in finetuning samples for async operation

* making chages

* finetuning correction

* correcting var name

---------

Co-authored-by: Jayesh Tanna <[email protected]>

Author: jayesh-tanna

sdk/ai/azure-ai-projects/samples/finetuning/sample_finetuning_supervised_job.py

@@ -105,9 +105,8 @@ def deploy_model(openai_client, credential, job_id):
             deployment=deployment_config,
         )
 
-        while deployment.status() not in ["Succeeded", "Failed"]:
-            time.sleep(30)
-            print(f"Deployment status: {deployment.status()}")
+        print("Waiting for deployment to complete...")
+        deployment.result()
 
     print(f"Model deployment completed: {deployment_name}")
     return deployment_name

sdk/ai/azure-ai-projects/samples/finetuning/sample_finetuning_supervised_job_async.py

@@ -107,9 +107,8 @@ async def deploy_model(openai_client, credential, job_id):
             deployment=deployment_config,
         )
 
-        while deployment.status() not in ["Succeeded", "Failed"]:
-            await asyncio.sleep(30)
-            print(f"Deployment status: {deployment.status()}")
+        print(f"Waiting for deployment to complete...")
+        await deployment.result()
 
     print(f"Model deployment completed: {deployment_name}")
     return deployment_name