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0a477b198c
### Motivation and Context text-davinci-003 is being retired by Azure OpenAI and is no longer supported for new deployments Resolves - https://github.com/microsoft/semantic-kernel/issues/2309 <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> ### Description Update examples and notebooks to use gpt-35-turbo / gpt-3.5-turbo instead <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [ ] The code builds clean without any errors or warnings - [ ] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [ ] All unit tests pass, and I have added new tests where possible - [ ] I didn't break anyone 😄 Signed-off-by: karthikmurali60 <[email protected]> Co-authored-by: Lee Miller <[email protected]> Co-authored-by: Gil LaHaye <[email protected]>
70 lines
1.7 KiB
Python
70 lines
1.7 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_chat_service(
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"chat-gpt", sk_oai.OpenAIChatCompletion("gpt-3.5-turbo", 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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