mirror of
https://github.com/microsoft/semantic-kernel.git
synced 2026-10-12 02:19:06 +00:00
Julio Carlos MenendezandEvan Mattson
d97f9536c4
### Motivation and Context Delete all *_async where *_sync doesn't exist to make the library more Pythonic. Fixes #4629 ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [X] The code builds clean without any errors or warnings - [X] 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 - [X] All unit tests pass, and I have added new tests where possible - [X] I didn't break anyone 😄 --------- Co-authored-by: Evan Mattson <[email protected]>
67 lines
2.1 KiB
Python
67 lines
2.1 KiB
Python
import os
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from dotenv import load_dotenv
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import semantic_kernel as sk
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from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
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from semantic_kernel.connectors.search_engine import BingConnector
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from semantic_kernel.core_plugins import WebSearchEnginePlugin
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load_dotenv()
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async def main():
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kernel = sk.Kernel()
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deployment, key, endpoint, api_version = sk.azure_openai_settings_from_dot_env(include_api_version=True)
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kernel.add_chat_service(
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"chat-gpt",
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AzureChatCompletion(
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deployment_name=deployment,
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api_key=key,
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endpoint=endpoint,
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api_version=api_version,
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),
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)
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connector = BingConnector(api_key=os.getenv("BING_API_KEY"))
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web_plugin = kernel.import_plugin(WebSearchEnginePlugin(connector), "WebSearch")
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prompt = "Who is Leonardo DiCaprio's current girlfriend?"
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search = web_plugin["searchAsync"]
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result = await search.invoke_async(prompt)
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print(result)
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"""
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Output:
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["Celebrity Celebrity News Everything You Need to Know About Leonardo DiCaprio and Camila Morrone's
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Relationship From the beginning of their romance to today, we track their relationship here. By..."]
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"""
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prompt = """
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Answer the question using only the data that is provided in the data section.
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Do not use any prior knowledge to answer the question.
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Data: {{WebSearch.SearchAsync "What is semantic kernel?"}}
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Question: What is semantic kernel?
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Answer:
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"""
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qna = kernel.create_semantic_function(prompt, temperature=0.2)
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context = kernel.create_new_context()
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context["num_results"] = "10"
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context["offset"] = "0"
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result = await qna.invoke_async(context=context)
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print(result)
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"""
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Output:
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Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI,
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Azure OpenAI, and Hugging Face with conventional programming languages like C# and Python.
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By doing so, you can create AI apps that combine the best of both worlds.
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Semantic Kernel is at the center of the copilot stack.
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"""
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if __name__ == "__main__":
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import asyncio
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asyncio.run(main())
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