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41 lines
1.4 KiB
Python
41 lines
1.4 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 Azure OpenAI service client
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client = OpenAI()
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deployment = "gpt-4o-mini"
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no_recipes = input("No of recipes (for example, 5: ")
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ingredients = input("List of ingredients (for example, chicken, potatoes, and carrots: ")
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filter = input("Filter (for example, vegetarian, vegan, or gluten-free: ")
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# interpolate the number of recipes into the prompt an ingredients
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prompt = f"Show me {no_recipes} recipes for a dish with the following ingredients: {ingredients}. Per recipe, list all the ingredients used, no {filter}: "
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response = client.responses.create(model=deployment, input=prompt, max_output_tokens=600, temperature=0.1, store=False)
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# print response
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print("Recipes:")
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old_prompt_result = response.output_text
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if not old_prompt_result:
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print("No response received.")
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else:
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print(old_prompt_result)
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prompt_shopping = "Produce a shopping list, and please don't include ingredients that I already have at home: "
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new_prompt = f"Given ingredients at home {ingredients} and these generated recipes: {old_prompt_result}, {prompt_shopping}"
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response = client.responses.create(model=deployment, input=new_prompt, max_output_tokens=600, temperature=0, store=False)
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# print response
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print("\n=====Shopping list ======= \n")
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if response.output_text:
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print(response.output_text)
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