importopenaiimportos# store your OPENAI_API_KEY = sk..... in ".env" file # load with python-dotenv package fromdotenvimportload_dotenv,find_dotenv_=load_dotenv(find_dotenv())# read local .env fileopenai.api_key=os.getenv('OPENAI_API_KEY')defget_completion(prompt,model="gpt-3.5-turbo"):# Andrew mentioned that the prompt/ completion paradigm is preferable for this classmessages=[{"role":"user","content":prompt}]response=openai.ChatCompletion.create(model=model,messages=messages,temperature=0,# this is the degree of randomness of the model's output)returnresponse.choices[0].message["content"]
Text
fact_sheet_chair="""
OVERVIEW
- Part of a beautiful family of mid-century inspired office furniture,
including filing cabinets, desks, bookcases, meeting tables, and more.
- Several options of shell color and base finishes.
- Available with plastic back and front upholstery (SWC-100)
or full upholstery (SWC-110) in 10 fabric and 6 leather options.
- Base finish options are: stainless steel, matte black,
gloss white, or chrome.
- Chair is available with or without armrests.
- Suitable for home or business settings.
- Qualified for contract use.
CONSTRUCTION
- 5-wheel plastic coated aluminum base.
- Pneumatic chair adjust for easy raise/lower action.
DIMENSIONS
- WIDTH 53 CM | 20.87”
- DEPTH 51 CM | 20.08”
- HEIGHT 80 CM | 31.50”
- SEAT HEIGHT 44 CM | 17.32”
- SEAT DEPTH 41 CM | 16.14”
OPTIONS
- Soft or hard-floor caster options.
- Two choices of seat foam densities:
medium (1.8 lb/ft3) or high (2.8 lb/ft3)
- Armless or 8 position PU armrests
MATERIALS
SHELL BASE GLIDER
- Cast Aluminum with modified nylon PA6/PA66 coating.
- Shell thickness: 10 mm.
SEAT
- HD36 foam
COUNTRY OF ORIGIN
- Italy
"""
prompt
prompt=f"""
Your task is to help a marketing team create a
description for a retail website of a product based
on a technical fact sheet.
Write a product description based on the information
provided in the technical specifications delimited by
triple backticks.
Technical specifications: ```{fact_sheet_chair}```
"""response=get_completion(prompt)print(response)
Iterative prompt development
Issue 1: The text is too long
Solution: Limit the number of words/sentences/characters.
f"""Use at most 50 words."""f"""Use at most 3 sentences."""f"""Use at most 280 characters."""
Issue 2. Text focuses on the wrong details
Solution: Ask it to focus on the aspects that are relevant to the intended audience.
f"""
The description is intended for furniture retailers,
so should be technical in nature and focus on the
materials the product is constructed from.
At the end of the description, include every 7-character
Product ID in the technical specification.
"""
Issue 3. Description needs a table of dimensions
Solution: Ask it to extract information and organize it in a table.
prompt=f"""
Your task is to help a marketing team create a
description for a retail website of a product based
on a technical fact sheet.
Write a product description based on the information
provided in the technical specifications delimited by
triple backticks.
The description is intended for furniture retailers,
so should be technical in nature and focus on the
materials the product is constructed from.
At the end of the description, include every 7-character
Product ID in the technical specification.
After the description, include a table that gives the
product's dimensions. The table should have two columns.
In the first column include the name of the dimension.
In the second column include the measurements in inches only.
Give the table the title 'Product Dimensions'.
Format everything as HTML that can be used in a website.
Place the description in a <div> element.
Technical specifications: ```{fact_sheet_chair}```
"""response=get_completion(prompt)print(response)fromIPython.displayimportdisplay,HTMLdisplay(HTML(response))
Summary of the iterative process
Just try something
Analyze where the result does not give what you want