from openai import OpenAI
import os
from dotenv import load_dotenv

# load environment variables from .env file
load_dotenv()

# configure the OpenAI client against the Azure OpenAI (Microsoft Foundry) v1 endpoint
client = OpenAI(
  api_key=os.environ['AZURE_OPENAI_API_KEY'],  
  base_url=f"{os.environ['AZURE_OPENAI_ENDPOINT'].rstrip('/')}/openai/v1/",
  )

deployment=os.environ['AZURE_OPENAI_DEPLOYMENT']

# add your completion code
question = input("Ask your questions on python language to your study buddy: ")
prompt = f"""
You are an expert on the python language.

Whenever certain questions are asked, you need to provide response in below format.

- Concept
- Example code showing the concept implementation
- explanation of the example and how the concept is done for the user to understand better.

Provide answer for the question: {question}
"""
# make a request using the Responses API
response = client.responses.create(model=deployment, input=prompt, store=False)

# print response
print(response.output_text)

#  very unhappy _____.

# Once upon a time there was a very unhappy mermaid.