1.x sdk default

Author: eric-urban

articles/ai-services/openai/includes/whisper-python.md

@@ -4,7 +4,7 @@ author: mrbullwinkle
 ms.author: mbullwin
 ms.service: openai
 ms.topic: include
-ms.date: 1/25/2024
+ms.date: 3/19/2024
 ---
 
 ## Python
@@ -18,16 +18,16 @@ ms.date: 1/25/2024
 
 Install the OpenAI Python client library with:
 
-# [OpenAI Python 0.28.1](#tab/python)
+# [OpenAI Python 1.x](#tab/python-new)
 
 ```console
-pip install openai==0.28.1
+pip install openai
 ```
 
-# [OpenAI Python 1.x](#tab/python-new)
+# [OpenAI Python 0.28.1](#tab/python)
 
 ```console
-pip install openai
+pip install openai==0.28.1
 ```
 
 ---
@@ -36,30 +36,30 @@ pip install openai
 
 1. Replace the contents of quickstart.py with the following code. Modify the code to add your deployment name:
 
-```python
-import openai
-import time
-import os
-
-openai.api_key = os.getenv("AZURE_OPENAI_API_KEY")
-openai.api_base = os.getenv("AZURE_OPENAI_ENDPOINT")  # your endpoint should look like the following https://YOUR_RESOURCE_NAME.openai.azure.com/
-openai.api_type = "azure"
-openai.api_version = "2024-02-01"
-
-model_name = "whisper"
-deployment_id = "YOUR-DEPLOYMENT-NAME-HERE" #This will correspond to the custom name you chose for your deployment when you deployed a model."
-audio_language="en"
-
-audio_test_file = "./wikipediaOcelot.wav"
-
-result = openai.Audio.transcribe(
-            file=open(audio_test_file, "rb"),            
-            model=model_name,
-            deployment_id=deployment_id
-        )
-
-print(result)
-```
+    ```python
+    import openai
+    import time
+    import os
+    
+    openai.api_key = os.getenv("AZURE_OPENAI_API_KEY")
+    openai.api_base = os.getenv("AZURE_OPENAI_ENDPOINT")  # your endpoint should look like the following https://YOUR_RESOURCE_NAME.openai.azure.com/
+    openai.api_type = "azure"
+    openai.api_version = "2024-02-01"
+    
+    model_name = "whisper"
+    deployment_id = "YOUR-DEPLOYMENT-NAME-HERE" #This will correspond to the custom name you chose for your deployment when you deployed a model."
+    audio_language="en"
+    
+    audio_test_file = "./wikipediaOcelot.wav"
+    
+    result = openai.Audio.transcribe(
+                file=open(audio_test_file, "rb"),            
+                model=model_name,
+                deployment_id=deployment_id
+            )
+    
+    print(result)
+    ```
 
 Run the application with the python command on your quickstart file:
 

articles/ai-services/openai/whisper-quickstart.md

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: devx-track-python
 ms.topic: quickstart
-ms.date: 2/1/2024
+ms.date: 3/19/2024
 ms.reviewer: v-baolianzou
 ms.author: eur
 author: eric-urban