Merge pull request #225529 from soferreira/patch-15

Add python code sample

Author: BCS2022

articles/cognitive-services/openai/how-to/embeddings.md

@@ -22,13 +22,31 @@ An embedding is a special format of data representation that can be easily utili
 
 To obtain an embedding vector for a piece of text, we make a request to the embeddings endpoint as shown in the following code snippets:
 
+# [console](#tab/console)
 ```console
 curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings?api-version=2022-12-01\
   -H 'Content-Type: application/json' \
   -H 'api-key: YOUR_API_KEY' \
   -d '{"input": "Sample Document goes here"}'
 ```
 
+# [python](#tab/python)
+```python
+import openai
+
+openai.api_type = "azure"
+openai.api_key = YOUR_API_KEY
+openai.api_base = "https://YOUR_RESOURCE_NAME.openai.azure.com"
+openai.api_version = "2022-12-01"
+
+response = openai.Embedding.create(
+    input="Your text string goes here",
+    engine="YOUR_DEPLOYMENT_NAME"
+)
+embeddings = response['data'][0]['embedding']
+```
+---
+
 ## Best Practices
 
 ### Verify inputs don't exceed the maximum length