Revert "add gpt-image-1 qs"

This reverts commit 2539b10.

Author: PatrickFarley

articles/ai-services/openai/includes/dall-e-python.md

@@ -19,7 +19,7 @@ Use this guide to get started generating images with the Azure OpenAI SDK for Py
 - An Azure subscription. <a href="https://azure.microsoft.com/free/ai-services" target="_blank">Create one for free</a>.
 - <a href="https://www.python.org/" target="_blank">Python 3.8 or later version</a>.
 - An Azure OpenAI resource created in a compatible region. See [Region availability](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability).
-- Then, you need to deploy a `gpt-image-1` model or `dalle3` model with your Azure resource. For more information, see [Create a resource and deploy a model with Azure OpenAI](../how-to/create-resource.md).
+- Then, you need to deploy a `dalle3` model with your Azure resource. For more information, see [Create a resource and deploy a model with Azure OpenAI](../how-to/create-resource.md).
 
 ## Setup
 
@@ -53,89 +53,12 @@ pip install requests
 pip install pillow 
 ```
 
-## Generate images
+## Generate images with DALL-E
 
 Create a new python file, _quickstart.py_. Open it in your preferred editor or IDE.
 
-#### [GPT-image-1](#tab/gpt-image-1)
-
 Replace the contents of _quickstart.py_ with the following code. 
 
-```python
-import os
-import requests
-import base64
-from PIL import Image
-from io import BytesIO
-
-# You will need to set these environment variables or edit the following values.
-endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
-subscription_key = os.getenv("AZURE_OPENAI_API_KEY")
-
-deployment = "gpt-image-1" # the name of your GPT-image-1 deployment
-api_version = "2025-04-01-preview" # or later version
-
-def decode_and_save_image(b64_data, output_filename):
-  image = Image.open(BytesIO(base64.b64decode(b64_data)))
-  image.show()
-  image.save(output_filename)
-
-def save_all_images_from_response(response_data, filename_prefix):
-  for idx, item in enumerate(response_data['data']):
-    b64_img = item['b64_json']
-    filename = f"{filename_prefix}_{idx+1}.png"
-    decode_and_save_image(b64_img, filename)
-    print(f"Image saved to: '{filename}'")
-
-base_path = f'openai/deployments/{deployment}/images'
-params = f'?api-version={api_version}'
-
-generation_url = f"{endpoint}{base_path}/generations{params}"
-generation_body = {
-  "prompt": "girl falling asleep",
-  "n": 1,
-  "size": "1024x1024",
-  "quality": "medium",
-  "output_format": "png"
-}
-generation_response = requests.post(
-  generation_url,
-  headers={
-    'Api-Key': subscription_key,
-    'Content-Type': 'application/json',
-  },
-  json=generation_body
-).json()
-save_all_images_from_response(generation_response, "generated_image")
-
-# In addition to generating images, you can edit them.
-edit_url = f"{endpoint}{base_path}/edits{params}"
-edit_body = {
-  "prompt": "girl falling asleep",
-  "n": 1,
-  "size": "1024x1024",
-  "quality": "medium"
-}
-files = {
-  "image": ("generated_image_1.png", open("generated_image_1.png", "rb"), "image/png"),
-  # You can use a mask to specify which parts of the image you want to edit.
-  # The mask must be the same size as the input image.
-  # "mask": ("mask.png", open("mask.png", "rb"), "image/png"),
-}
-edit_response = requests.post(
-  edit_url,
-  headers={'Api-Key': subscription_key},
-  data=edit_body,
-  files=files
-).json()
-save_all_images_from_response(edit_response, "edited_image")
-```
-
-1. Change the value of `prompt` to your preferred text.
-1. Change the value of `deployment` to the name of your deployed GPT-image-1 model.
-
-#### [DALL-E](#tab/dall-e-3)
-
 ```python
 from openai import AzureOpenAI
 import os
@@ -178,11 +101,10 @@ image = Image.open(image_path)
 image.show()
 ```
 
+1. Enter your endpoint URL and key in the appropriate fields. 
 1. Change the value of `prompt` to your preferred text.
 1. Change the value of `model` to the name of your deployed DALL-E 3 model.
 
----
-
 > [!IMPORTANT]
 > Remember to remove the key from your code when you're done, and never post your key publicly. For production, use a secure way of storing and accessing your credentials. For more information, see [Azure Key Vault](/azure/key-vault/general/overview).