expanded the scope of the post

content/posts/2024-01-09.md

@@ -54,7 +54,86 @@ You will need to set the following environment variables in your `.env` file:
 
 {{< notice note >}} If you are using conda to manage your Python environments, some environment variables tend to be sticky, I had to add the following code to workaround it: `load_dotenv(find_dotenv(), override=True)`, which seems to have fixed the issue. {{< /notice >}}
 
+## Authenticate to Azure OpenAI Service
+
+The following code is used to authenticate to Azure OpenAI Service:
+
+```python
+client = AzureOpenAI(
+  azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT"), 
+  api_key=os.getenv("AZURE_OPENAI_KEY"),  
+  api_version="2023-12-01-preview"
+)
+```
+
+Make sure to use the latest API version, which is `2023-12-01-preview` at the time of writing.
+
+## Generate an Image
+
+The following code is used to generate an image using DALL-E in Azure OpenAI with Python:
+
+```python
+result = client.images.generate(
+    model="dalle3", # the name of your DALL-E 3 deployment
+    prompt=input("Enter a query: "),
+    n=1
+)
+```
+
+You can also hardcode the prompt value instead of using the `input()` function.
+
+## Parse the Response
+
+The following code is used to parse the response from the Azure OpenaAI API:
+
+```python
+json_response = json.loads(result.model_dump_json())
+```
+
+## Get the Image
+
+The following code is used to get the image from the response:
+
+```python
+# Set the directory for the stored image
+image_dir = os.path.join(os.curdir, 'images')
+
+# If the directory doesn't exist, create it
+if not os.path.isdir(image_dir):
+    os.mkdir(image_dir)
+
+# Initialize the image path (note the filetype should be png)
+image_path = os.path.join(image_dir, 'generated_image.png')
+
+# Retrieve the generated image
+image_url = json_response["data"][0]["url"]  # extract image URL from response
+```
+
+
+## Save the Image
+
+The following code is used to save the image to a file:
+
+```python
+generated_image = requests.get(image_url).content  # download the image
+with open(image_path, "wb") as image_file:
+    image_file.write(generated_image)
+```
+
+## Display the Image
+
+The following code is used to display the image:
+
+```python
+# Display the image in the default image viewer
+image = Image.open(image_path)
+image.show()
+```
+
+## Conclusion
+
+That's it! You can now generate images using DALL-E in Azure OpenAI with Python using the latest API schema.
+
 Happy coding with Python and Azure OpenAI Service!
 
 🐳
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