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Shawn Callegariandname
7a3fad9dbb
Moving kernel-syntax-examples to the python/samples folder. Leaving README behind to point to the new folders (will delete in a few sprints) ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [X] The code builds clean without any errors or warnings - [X] The PR follows SK Contribution Guidelines (https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) - [X] The code follows the .NET coding conventions (https://learn.microsoft.com/dotnet/csharp/fundamentals/coding-style/coding-conventions) verified with `dotnet format` - [X] All unit tests pass, and I have added new tests where possible - [X] I didn't break anyone 😄 Co-authored-by: name <email>
70 lines
1.8 KiB
Python
70 lines
1.8 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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import semantic_kernel as sk
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import semantic_kernel.connectors.ai.open_ai as sk_oai
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sk_prompt = """
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ChatBot can have a conversation with you about any topic.
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It can give explicit instructions or say 'I don't know'
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when it doesn't know the answer.
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{{$chat_history}}
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User:> {{$user_input}}
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ChatBot:>
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"""
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kernel = sk.Kernel()
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api_key, org_id = sk.openai_settings_from_dot_env()
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kernel.add_text_completion_service(
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"davinci-003", sk_oai.OpenAITextCompletion("text-davinci-003", api_key, org_id)
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)
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prompt_config = sk.PromptTemplateConfig.from_completion_parameters(
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max_tokens=2000, temperature=0.7, top_p=0.4
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)
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prompt_template = sk.PromptTemplate(
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sk_prompt, kernel.prompt_template_engine, prompt_config
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)
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function_config = sk.SemanticFunctionConfig(prompt_config, prompt_template)
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chat_function = kernel.register_semantic_function("ChatBot", "Chat", function_config)
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async def chat(context_vars: sk.ContextVariables) -> bool:
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try:
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user_input = input("User:> ")
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context_vars["user_input"] = user_input
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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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answer = await kernel.run_async(chat_function, input_vars=context_vars)
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context_vars["chat_history"] += f"\nUser:> {user_input}\nChatBot:> {answer}\n"
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print(f"ChatBot:> {answer}")
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return True
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async def main() -> None:
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context = sk.ContextVariables()
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context["chat_history"] = ""
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chatting = True
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while chatting:
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chatting = await chat(context)
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if __name__ == "__main__":
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asyncio.run(main())
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