In this lesson, you will generate customer service emails that are tailored to each customer's review.
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"]
sentiment = "negative"
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)