Merge pull request microsoft#30 from softchris/Chapter9

Adding Chapter 9

9-image-apps/app-variation.py

@@ -0,0 +1,45 @@
+import openai
+import os
+import requests
+from PIL import Image
+import dotenv
+
+# import dotenv
+dotenv.load_dotenv()
+
+# Get endpoint and key from environment variables
+openai.api_base = os.environ['AZURE_OPENAI_ENDPOINT']
+openai.api_key = os.environ['AZURE_OPENAI_KEY']     
+
+# Assign the API version (DALL-E is currently supported for the 2023-06-01-preview API version only)
+openai.api_version = '2023-06-01-preview'
+openai.api_type = 'azure'
+
+image_dir = os.path.join(os.curdir, 'images')
+
+# Initialize the image path (note the filetype should be png)
+image_path = os.path.join(image_dir, 'generated_image.png')
+
+# ---creating variation below---
+try:
+    print("LOG creating variation")
+    response = openai.Image.create_variation(
+        image=open("generated_image.png", "rb"),
+        n=1,
+        size="1024x1024"
+    )
+
+    image_path = os.path.join(image_dir, 'generated_variation.png')
+
+    image_url = response['data'][0]['url']
+
+    print("LOG downloading image")
+    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 in the default image viewer
+    image = Image.open(image_path)
+    image.show()
+except openai.error.InvalidRequestError as err:
+    print(err)

9-image-apps/app.py

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+import openai
+import os
+import requests
+from PIL import Image
+import dotenv
+
+# import dotenv
+dotenv.load_dotenv()
+
+# Get endpoint and key from environment variables
+openai.api_base = os.environ['AZURE_OPENAI_ENDPOINT']
+openai.api_key = os.environ['AZURE_OPENAI_KEY']     
+
+# Assign the API version (DALL-E is currently supported for the 2023-06-01-preview API version only)
+openai.api_version = '2023-06-01-preview'
+openai.api_type = 'azure'
+
+
+try:
+    # Create an image by using the image generation API
+    generation_response = openai.Image.create(
+        prompt='Bunny on horse, holding a lollipop, on a foggy meadow where it grows daffodils',    # Enter your prompt text here
+        size='1024x1024',
+        n=2,
+        temperature=0,
+    )
+    # 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 = generation_response["data"][0]["url"]  # extract image URL from response
+    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 in the default image viewer
+    image = Image.open(image_path)
+    image.show()
+
+# catch exceptions
+except openai.error.InvalidRequestError as err:
+    print(err)
+
+# ---creating variation below---
+
+response = openai.Image.create_variation(
+  image=open(image_path, "rb"),
+  n=1,
+  size="1024x1024"
+)
+
+image_path = os.path.join(image_dir, 'generated_variation.png')
+
+image_url = response['data'][0]['url']
+
+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 in the default image viewer
+image = Image.open(image_path)
+image.show()