chore: import upstream snapshot with attribution

python/samples/concepts/images/image_gen_prompt.py

@@ -0,0 +1,49 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+from urllib.request import urlopen
+
+try:
+    from PIL import Image
+
+    pil_available = True
+except ImportError:
+    pil_available = False
+
+from semantic_kernel import Kernel
+from semantic_kernel.connectors.ai import PromptExecutionSettings
+from semantic_kernel.connectors.ai.open_ai import OpenAITextToImage
+from semantic_kernel.functions import KernelArguments
+
+"""
+This sample demonstrates how to use the OpenAI text-to-image service to generate an image from a prompt.
+It uses the OpenAITextToImage class to create an image based on the provided prompt and settings.
+The generated image is then displayed using the PIL library if available.
+"""
+
+
+async def main():
+    kernel = Kernel()
+    kernel.add_service(OpenAITextToImage(service_id="dalle3"))
+
+    result = await kernel.invoke_prompt(
+        prompt="Generate a image of {{$topic}} in the style of a {{$style}}",
+        arguments=KernelArguments(
+            topic="a flower vase",
+            style="painting",
+            settings=PromptExecutionSettings(
+                service_id="dalle3",
+                width=1024,
+                height=1024,
+                quality="hd",
+                style="vivid",
+            ),
+        ),
+    )
+    if result and pil_available:
+        img = Image.open(urlopen(str(result.value[0].uri)))  # nosec
+        img.show()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

python/samples/concepts/images/image_generation.py

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+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import base64
+from io import BytesIO
+
+from semantic_kernel.prompt_template import PromptTemplateConfig
+
+try:
+    from PIL import Image
+
+    pil_available = True
+except ImportError:
+    pil_available = False
+
+from semantic_kernel import Kernel
+from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion, OpenAITextToImage
+from semantic_kernel.contents import ChatHistory, ChatMessageContent, ImageContent, TextContent
+from semantic_kernel.functions.kernel_arguments import KernelArguments
+
+
+async def main():
+    kernel = Kernel()
+    service = OpenAITextToImage()
+    kernel.add_service(service)
+    kernel.add_service(OpenAIChatCompletion(service_id="default"))
+
+    image_b64 = await service.generate_image(description="a painting of a flower vase", width=1024, height=1024)
+
+    if pil_available:
+        img = Image.open(BytesIO(base64.b64decode(image_b64)))
+        img.show()
+
+    result = await kernel.invoke_prompt(
+        prompt="{{$chat_history}}",
+        prompt_template_config=PromptTemplateConfig(allow_dangerously_set_content=True),
+        arguments=KernelArguments(
+            chat_history=ChatHistory(
+                messages=[
+                    ChatMessageContent(
+                        role="user",
+                        items=[
+                            TextContent(text="What is in this image?"),
+                            ImageContent(data=image_b64, data_format="base64", mime_type="image/png"),
+                        ],
+                    )
+                ]
+            )
+        ),
+    )
+    print(result)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())