blog_generator.py

#!/usr/bin/env python3

import openai
from dotenv import dotenv_values

# The dotenv_values() will take in the path to the .env file and return us a dictionary with all the variables in the .env file. We then created a config variable to hold that dictionary.

config = dotenv_values(".env")

# Now, all we have to do is replace the exposed API key with the environment variable in the config dictionary like so:
openai.api_key = config['API_KEY']  # Securing Our App

# Note: If you want to push your code to GitHub, you don't want to push the .env file as well. In the root directory of your project, create a file called .gitignore, and in the Git ignore file, type in .env. This will prevent the file from being tracked by Git and ultimately pushed to GitHub.

# The core function
def generate_blog(paragraph_topic):
	response = openai.Completion.create(
		model = 'text-davinci-002',
		prompt = 'Write a paragraph about the following topic.' + paragraph_topic,
		max_tokens = 400,
		temperature = 0.3
	)
	
	retrieve_blog = response.choices[0].text
	
	return retrieve_blog

print(generate_blog('Which programming language should I learn to get a good job in 2023?'))

# multiple paragrapgs
keep_writing = True

while keep_writing == True:
  answer = input('Write a paragraph? Y for yes, anything else for no.')
  if (answer == 'Y'):
    paragraph_topic = input('What should this paragraph be about? ')
    print(generate_blog(paragraph_topic))
  else:
    keep_writing = False
		
# rate limit - Rate limit is the number of API calls an app or user can make within a given time period. For GPT-3, the rate limit is 20 requests per minute.