chore: import upstream snapshot with attribution

python/samples/concepts/audio/audio_from_prompt.py

@@ -0,0 +1,38 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+
+from samples.concepts.audio.audio_player import AudioPlayer
+from semantic_kernel import Kernel
+from semantic_kernel.connectors.ai import PromptExecutionSettings
+from semantic_kernel.connectors.ai.open_ai import OpenAITextToAudio
+from semantic_kernel.functions import KernelArguments
+
+"""
+This simple sample demonstrates how to use the AzureTextToAudio services
+with a prompt and prompt rendering.
+
+Resources required for this sample: An Azure Text to Speech deployment (e.g. tts).
+
+Additional dependencies required for this sample:
+- pyaudio: run `pip install pyaudio` or `uv pip install pyaudio` if you are using uv.
+"""
+
+
+async def main():
+    kernel = Kernel()
+    kernel.add_service(OpenAITextToAudio(service_id="tts"))
+
+    result = await kernel.invoke_prompt(
+        prompt="speak the following phrase: {{$phrase}}",
+        arguments=KernelArguments(
+            phrase="a painting of a flower vase",
+            settings=PromptExecutionSettings(service_id="tts", voice="coral"),
+        ),
+    )
+    if result:
+        AudioPlayer(audio_content=result.value[0]).play()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())