Note for course: ChatGPT Prompt Engineering for Developers

1# Boie is a real company, the product name is not real.
2prompt = f"""
3Tell me about AeroGlide UltraSlim Smart Toothbrush by Boie
4"""

1prompt = f"""
2Your task is to help a marketing team create a description for a retail website 
3of a product based on a technical fact sheet.
4
5Write a product description based on the information provided in the technical 
6specifications delimited by triple backticks.
7
8Technical specifications: ```{fact_sheet_chair}```
9"""

1prompt = f"""
2...like the previous
3
4Use at most 50 words.
5
6Technical specifications: ```{fact_sheet_chair}```
7"""

1prompt = f"""
2...like the previous
3
4The description is intended for furniture retailers, so should be technical in 
5nature and focus on the materials the product is constructed from.
6
7At the end of the description, include every 7-character Product ID in the technical
8specification.
9
10Use at most 50 words.
11
12Technical specifications: ```{fact_sheet_chair}```
13"""

1prompt = f"""
2...like the previous
3
4After the description, include a table that gives the product's dimensions. The 
5table should have two columns. In the first column include the name of the dimension. 
6In the second column include the measurements in inches only.
7
8Give the table the title 'Product Dimensions'.
9
10Format everything as HTML that can be used in a website. Place the description 
11in a <div> element.
12
13Technical specifications: ```{fact_sheet_chair}```
14"""

1prompt = f"""
2Your task is to generate a short summary of a product review from an ecommerce site to give \
3feedback to the Shipping deparmtment. 
4
5Summarize the review below, delimited by triple 
6backticks, in at most 30 words.
7
8Review: ```{prod_review}```
9"""

1prompt = f"""
2...Like previous
3..., and focusing on any aspects that mention shipping and delivery of the product. 
4
5Review: ```{prod_review}```
6"""

1prompt = f"""
2...like previous
3
4...extract the information relevant to shipping and delivery...
5
6Review: ```{prod_review}```
7"""

1reviews = [review_1, review_2, review_3, review_4]
2
3for i in range(len(reviews)):
4	  prompt = f"""
5	  Your task is to generate a short summary of a product review from an ecommerce site. 
6	
7	  Summarize the review below, delimited by triple backticks in at most 20 words. 
8	
9	  Review: ```{reviews[i]}```
10	  """
11		response = get_completion(prompt)
12    print(i, response, "\n")

1prompt = f"""
2What is the sentiment of the following product review,which is delimited 
3with triple backticks?
4
5Review text: '''{lamp_review}'''
6"""

1prompt = f"""
2...like previous
3Give your answer as a single word, either "positive" or "negative".
4...
5"""

1prompt = f"""
2Identify a list of emotions that the writer of the following review is expressing. \
3Include no more than five items in the list. Format your answer as a list of \
4lower-case words separated by commas.
5
6Review text: '''{lamp_review}'''
7"""

1prompt = f"""
2Is the writer of the following review expressing anger?\
3The review is delimited with triple backticks. \
4Give your answer as either yes or no.
5
6Review text: '''{lamp_review}'''
7"""

1prompt = f"""
2Identify the following items from the review text: 
3- Item purchased by reviewer
4- Company that made the item
5
6The review is delimited with triple backticks. \
7Format your response as a JSON object with "Item" and "Brand" as the keys. 
8If the information isn't present, use "unknown" as the value.
9Make your response as short as possible.
10  
11Review text: '''{lamp_review}'''
12"""

1prompt = f"""
2Identify the following items from the review text: 
3- Sentiment (positive or negative)
4- Is the reviewer expressing anger? (true or false)
5- Item purchased by reviewer
6- Company that made the item
7
8The review is delimited with triple backticks. \
9Format your response as a JSON object with \
10"Sentiment", "Anger", "Item" and "Brand" as the keys.
11If the information isn't present, use "unknown" \
12as the value.
13Make your response as short as possible.
14Format the Anger value as a boolean.
15
16Review text: '''{lamp_review}'''
17"""

1prompt = f"""
2Determine five topics that are being discussed in the \
3following text, which is delimited by triple backticks.
4
5Make each item one or two words long. 
6
7Format your response as a list of items separated by commas.
8
9Text sample: '''{story}'''
10"""

1topic_list = [
2    "nasa", "local government", "engineering", "employee satisfaction", "federal government"
3]
4
5prompt = f"""
6Determine whether each item in the following list of \
7topics is a topic in the text below, which
8is delimited with triple backticks.
9
10Give your answer as list with 0 or 1 for each topic.\
11
12List of topics: {", ".join(topic_list)}
13
14Text sample: '''{story}'''
15"""
16
17topic_dict = {i.split(': ')[0]: int(i.split(': ')[1]) for i in response.split(sep='\n')}
18if topic_dict['nasa'] == 1:
19    print("ALERT: New NASA story!")

1prompt = f"""
2Translate the following English text to Spanish: \ 
3```Hi, I would like to order a blender```
4"""

1prompt = f"""
2Tell me which language this is: 
3```Combien coûte le lampadaire?```
4"""

1prompt = f"""
2Translate the following text to Spanish in both the formal and informal forms: 
3'Would you like to order a pillow?'
4"""

1prompt = f"""
2Translate the following from slang to a business letter: 
3'Dude, This is Joe, check out this spec on this standing lamp.'
4"""

1prompt = f"""
2Translate the following python dictionary from JSON to an HTML \
3table with column headers and title: {data_json}
4"""

1prompt = f"proofread and correct this review: ```{text}```"

1from redlines import Redlines
2
3diff = Redlines(text,response)
4display(Markdown(diff.output_markdown))

1prompt = f"""
2You are a customer service AI assistant.
3Your task is to send an email reply to a valued customer.
4Given the customer email delimited by ```, \
5Generate a reply to thank the customer for their review.
6If the sentiment is positive or neutral, thank them for \
7their review.
8If the sentiment is negative, apologize and suggest that \
9they can reach out to customer service. 
10Make sure to use specific details from the review.
11Write in a concise and professional tone.
12Sign the email as `AI customer agent`.
13Customer review: ```{review}```
14Review sentiment: {sentiment}
15"""

1def get_completion_from_messages(messages, model="gpt-3.5-turbo", temperature=0):
2		response = openai.ChatCompletion.create(
3		    model=model,
4		    messages=messages,
5		    temperature=temperature, # this is the degree of randomness of the model's output
6		)

1messages =  [  
2{'role':'system', 'content':'You are friendly chatbot.'},
3{'role':'user', 'content':'Hi, my name is Isa'},
4{'role':'assistant', 'content': "Hi Isa! It's nice to meet you. Is there anything I can help you with today?"},
5{'role':'user', 'content':'Yes, you can remind me, What is my name?'}  ]
6
7response = get_completion_from_messages(messages, temperature=1)

1def collect_messages(_):
2    prompt = inp.value_input
3    inp.value = ''
4    context.append({'role':'user', 'content':f"{prompt}"})
5    response = get_completion_from_messages(context) 
6    context.append({'role':'assistant', 'content':f"{response}"})
7    panels.append(
8        pn.Row('User:', pn.pane.Markdown(prompt, width=600)))
9    panels.append(
10        pn.Row('Assistant:', pn.pane.Markdown(response, width=600, style={'background-color': '#F6F6F6'})))
11 
12    return pn.Column(*panels)

1import panel as pn  # GUI
2pn.extension()
3
4panels = [] # collect display 
5
6context = [ {'role':'system', 'content':"""
7You are OrderBot, an automated service to collect orders for a pizza restaurant. \
8You first greet the customer, then collects the order, and then asks if it's a pickup or delivery. \
9You wait to collect the entire order, then summarize it and check for a final time if the customer wants to add anything else. \
10If it's a delivery, you ask for an address. \
11Finally you collect the payment.\
12Make sure to clarify all options, extras and sizes to uniquely identify the item from the menu.\
13You respond in a short, very conversational friendly style. \
14The menu includes \
15pepperoni pizza  12.95, 10.00, 7.00 \
16cheese pizza   10.95, 9.25, 6.50 \
17eggplant pizza   11.95, 9.75, 6.75 \
18fries 4.50, 3.50 \
19greek salad 7.25 \
20Toppings: \
21extra cheese 2.00, \
22mushrooms 1.50 \
23sausage 3.00 \
24canadian bacon 3.50 \
25AI sauce 1.50 \
26peppers 1.00 \
27Drinks: \
28coke 3.00, 2.00, 1.00 \
29sprite 3.00, 2.00, 1.00 \
30bottled water 5.00 \
31"""} ]  # accumulate messages
32
33inp = pn.widgets.TextInput(value="Hi", placeholder='Enter text here…')
34button_conversation = pn.widgets.Button(name="Chat!")
35
36interactive_conversation = pn.bind(collect_messages, button_conversation)
37
38dashboard = pn.Column(
39    inp,
40    pn.Row(button_conversation),
41    pn.panel(interactive_conversation, loading_indicator=True, height=300),
42)
43
44dashboard

1messages =  context.copy()
2messages.append(
3{'role':'system', 'content':'create a json summary of the previous food order. Itemize the price for each item\
4 The fields should be 1) pizza, include size 2) list of toppings 3) list of drinks, include size   4) list of sides include size  5)total price '},    
5)
6response = get_completion_from_messages(messages, temperature=0)