prompt_env / tutorial_6.py

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import openai
import os

from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv()) # read local .env file

openai.api_key  = os.getenv('OPENAI_API_KEY')

def get_completion(prompt, model="gpt-3.5-turbo",temperature=0): # Andrew mentioned that the prompt/ completion paradigm is preferable for this class
    messages = [{"role": "user", "content": prompt}]
    response = openai.ChatCompletion.create(
        model=model,
        messages=messages,
        temperature=temperature, # this is the degree of randomness of the model's output
    )
    return response.choices[0].message["content"]

# given the sentiment from the lesson on "inferring",
# and the original customer message, customize the email
sentiment = "negative"

# review for a blender
review = f"""
So, they still had the 17 piece system on seasonal \
sale for around $49 in the month of November, about \
half off, but for some reason (call it price gouging) \
around the second week of December the prices all went \
up to about anywhere from between $70-$89 for the same \
system. And the 11 piece system went up around $10 or \
so in price also from the earlier sale price of $29. \
So it looks okay, but if you look at the base, the part \
where the blade locks into place doesn’t look as good \
as in previous editions from a few years ago, but I \
plan to be very gentle with it (example, I crush \
very hard items like beans, ice, rice, etc. in the \ 
blender first then pulverize them in the serving size \
I want in the blender then switch to the whipping \
blade for a finer flour, and use the cross cutting blade \
first when making smoothies, then use the flat blade \
if I need them finer/less pulpy). Special tip when making \
smoothies, finely cut and freeze the fruits and \
vegetables (if using spinach-lightly stew soften the \ 
spinach then freeze until ready for use-and if making \
sorbet, use a small to medium sized food processor) \ 
that you plan to use that way you can avoid adding so \
much ice if at all-when making your smoothie. \
After about a year, the motor was making a funny noise. \
I called customer service but the warranty expired \
already, so I had to buy another one. FYI: The overall \
quality has gone done in these types of products, so \
they are kind of counting on brand recognition and \
consumer loyalty to maintain sales. Got it in about \
two days.
"""

prompt = f"""
You are a customer service AI assistant.
Your task is to send an email reply to a valued customer.
Given the customer email delimited by ```, \
Generate a reply to thank the customer for their review.
If the sentiment is positive or neutral, thank them for \
their review.
If the sentiment is negative, apologize and suggest that \
they can reach out to customer service. 
Make sure to use specific details from the review.
Write in a concise and professional tone.
Sign the email as `AI customer agent`.
Customer review: ```{review}```
Review sentiment: {sentiment}
"""
response = get_completion(prompt)
print(response)

prompt = f"""
You are a customer service AI assistant.
Your task is to send an email reply to a valued customer.
Given the customer email delimited by ```, \
Generate a reply to thank the customer for their review.
If the sentiment is positive or neutral, thank them for \
their review.
If the sentiment is negative, apologize and suggest that \
they can reach out to customer service. 
Make sure to use specific details from the review.
Write in a concise and professional tone.
Sign the email as `AI customer agent`.
Customer review: ```{review}```
Review sentiment: {sentiment}
"""
response = get_completion(prompt, temperature=0.7)
print(response)

	import openai
	import os

	from dotenv import load_dotenv, find_dotenv
	_ = load_dotenv(find_dotenv()) # read local .env file

	openai.api_key = os.getenv('OPENAI_API_KEY')

	def get_completion(prompt, model="gpt-3.5-turbo",temperature=0): # Andrew mentioned that the prompt/ completion paradigm is preferable for this class
	messages = [{"role": "user", "content": prompt}]
	response = openai.ChatCompletion.create(
	model=model,
	messages=messages,
	temperature=temperature, # this is the degree of randomness of the model's output
	)
	return response.choices[0].message["content"]

	# given the sentiment from the lesson on "inferring",
	# and the original customer message, customize the email
	sentiment = "negative"

	# review for a blender
	review = f"""
	So, they still had the 17 piece system on seasonal \
	sale for around $49 in the month of November, about \
	half off, but for some reason (call it price gouging) \
	around the second week of December the prices all went \
	up to about anywhere from between $70-$89 for the same \
	system. And the 11 piece system went up around $10 or \
	so in price also from the earlier sale price of $29. \
	So it looks okay, but if you look at the base, the part \
	where the blade locks into place doesn’t look as good \
	as in previous editions from a few years ago, but I \
	plan to be very gentle with it (example, I crush \
	very hard items like beans, ice, rice, etc. in the \
	blender first then pulverize them in the serving size \
	I want in the blender then switch to the whipping \
	blade for a finer flour, and use the cross cutting blade \
	first when making smoothies, then use the flat blade \
	if I need them finer/less pulpy). Special tip when making \
	smoothies, finely cut and freeze the fruits and \
	vegetables (if using spinach-lightly stew soften the \
	spinach then freeze until ready for use-and if making \
	sorbet, use a small to medium sized food processor) \
	that you plan to use that way you can avoid adding so \
	much ice if at all-when making your smoothie. \
	After about a year, the motor was making a funny noise. \
	I called customer service but the warranty expired \
	already, so I had to buy another one. FYI: The overall \
	quality has gone done in these types of products, so \
	they are kind of counting on brand recognition and \
	consumer loyalty to maintain sales. Got it in about \
	two days.
	"""

	prompt = f"""
	You are a customer service AI assistant.
	Your task is to send an email reply to a valued customer.
	Given the customer email delimited by ```, \
	Generate a reply to thank the customer for their review.
	If the sentiment is positive or neutral, thank them for \
	their review.
	If the sentiment is negative, apologize and suggest that \
	they can reach out to customer service.
	Make sure to use specific details from the review.
	Write in a concise and professional tone.
	Sign the email as `AI customer agent`.
	Customer review: ```{review}```
	Review sentiment: {sentiment}
	"""
	response = get_completion(prompt)
	print(response)

	prompt = f"""
	You are a customer service AI assistant.
	Your task is to send an email reply to a valued customer.
	Given the customer email delimited by ```, \
	Generate a reply to thank the customer for their review.
	If the sentiment is positive or neutral, thank them for \
	their review.
	If the sentiment is negative, apologize and suggest that \
	they can reach out to customer service.
	Make sure to use specific details from the review.
	Write in a concise and professional tone.
	Sign the email as `AI customer agent`.
	Customer review: ```{review}```
	Review sentiment: {sentiment}
	"""
	response = get_completion(prompt, temperature=0.7)
	print(response)