wehub-resource-sync
102 lines
3.4 KiB
Python
102 lines
3.4 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from foundry_local import FoundryLocalManager
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from openai import AsyncOpenAI
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from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion, OpenAIChatPromptExecutionSettings
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from semantic_kernel.contents import ChatHistory
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"""
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This samples demonstrates how to use the Foundry Local model with the OpenAIChatCompletion service.
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The Foundry Local model is a local model that can be used to run the OpenAIChatCompletion service.
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To use this sample, you need to install the Foundry Local SDK and service.
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For the service refer to this guide: https://learn.microsoft.com/en-us/azure/ai-foundry/foundry-local/get-started
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To install the SDK, run the following command:
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`pip install foundry-local-sdk`
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"""
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# The way Foundry Local works, is that it picks the right variant of a model based on the
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# hardware available on the machine. For example, if you have a GPU, it will pick the GPU variant
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# of the model. If you have a CPU, it will pick the CPU variant of the model.
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# The model alias is the name of the model that you want to use.
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model_alias = "phi-4-mini"
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manager = FoundryLocalManager(model_alias)
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# next, download the model to the machine
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manager.download_model(model_alias)
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# load the model into memory
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manager.load_model(model_alias)
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service = OpenAIChatCompletion(
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ai_model_id=manager.get_model_info(model_alias).id,
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async_client=AsyncOpenAI(
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base_url=manager.endpoint,
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api_key=manager.api_key,
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),
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)
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# if needed, set the other parameters for the execution
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request_settings = OpenAIChatPromptExecutionSettings()
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# This is the system message that gives the chatbot its personality.
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system_message = """
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You are a chat bot. Your name is Mosscap and
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you have one goal: figure out what people need.
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Your full name, should you need to know it, is
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Splendid Speckled Mosscap. You communicate
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effectively, but you tend to answer with long
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flowery prose. Use the tools you have available!
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"""
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# Create a chat history object with the system message.
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chat_history = ChatHistory(system_message=system_message)
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async def chat() -> bool:
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try:
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user_input = input("User:> ")
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except KeyboardInterrupt:
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print("\n\nExiting chat...")
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return False
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except EOFError:
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print("\n\nExiting chat...")
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return False
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if user_input == "exit":
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print("\n\nExiting chat...")
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return False
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# Add the user message to the chat history so that the chatbot can respond to it.
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chat_history.add_user_message(user_input)
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# Get the chat message content from the chat completion service.
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response = await service.get_chat_message_content(
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chat_history=chat_history,
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settings=request_settings,
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)
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if response:
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print(f"Mosscap:> {response}")
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# Add the chat message to the chat history to keep track of the conversation.
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chat_history.add_message(response)
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return True
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async def main() -> None:
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# Start the chat loop. The chat loop will continue until the user types "exit".
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chatting = True
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while chatting:
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chatting = await chat()
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"""
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Sample output:
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User:> Why is the sky blue in one sentence?
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Mosscap:> The sky appears blue due to Rayleigh scattering, where shorter blue wavelengths of sunlight are scattered in
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all directions by the gases and particles in Earth's atmosphere more than other colors.
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"""
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if __name__ == "__main__":
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asyncio.run(main())
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