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51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
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'''
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A simple test to use AI (OpenAI API) to generate an article based on a list of ideas.
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You can do this a lot better using LangChain. However, this is a simple example to demonstrate how to use the OpenAI API.
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Author: Omar Santos, os@cisco.com, @santosomar
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'''
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# Import the required libraries
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# Install all the required libraries using pip install openai python-dotenv
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from dotenv import load_dotenv
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import openai
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import os
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import sys
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# Load the .env file
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load_dotenv()
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# Get the API key from the environment variable
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openai.api_key = os.getenv('OPENAI_API_KEY')
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# Read the ideas from a file (ideas.txt)
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with open('ideas.txt', 'r') as file:
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lines = file.readlines()
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# Read lines one by one
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for line in lines:
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# Create a filename
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filename = line.strip().replace(' ', '_') + '.md'
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idea = line.strip()
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# Create a path to save the files in a specific directory
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filepath = os.path.join('data', filename)
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# Prepare the prompt
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prompt = [{"role": "user", "content": f"Create an article about {idea}."}]
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# Generate the AI response using the GPT-3.5 model (16k)
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# https://beta.openai.com/docs/api-reference/create-completion
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo-16k",
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messages=prompt,
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max_tokens=15000
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)
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# print the AI response
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final_response = response.choices[0].message.content
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print(final_response)
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# Create a new markdown file and write the article
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with open(filepath, 'w') as md_file:
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md_file.write(final_response)
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