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38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
from openai import OpenAI
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import os
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from dotenv import load_dotenv
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# load environment variables from .env file
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load_dotenv()
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# configure the OpenAI client against the Azure OpenAI (Microsoft Foundry) v1 endpoint
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client = OpenAI(
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api_key=os.environ['AZURE_OPENAI_API_KEY'],
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base_url=f"{os.environ['AZURE_OPENAI_ENDPOINT'].rstrip('/')}/openai/v1/",
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)
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deployment=os.environ['AZURE_OPENAI_DEPLOYMENT']
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# add your completion code
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question = input("Ask your questions on python language to your study buddy: ")
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prompt = f"""
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You are an expert on the python language.
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Whenever certain questions are asked, you need to provide response in below format.
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- Concept
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- Example code showing the concept implementation
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- explanation of the example and how the concept is done for the user to understand better.
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Provide answer for the question: {question}
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"""
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# make a request using the Responses API
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response = client.responses.create(model=deployment, input=prompt, store=False)
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# print response
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print(response.output_text)
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# very unhappy _____.
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# Once upon a time there was a very unhappy mermaid.
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