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tutorial_1.py

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+import openai
+import os
+
+from dotenv import load_dotenv, find_dotenv
+_ = load_dotenv(find_dotenv())
+
+openai.api_key  = os.getenv('OPENAI_API_KEY')
+
+def get_completion(prompt, model="gpt-3.5-turbo"):
+    messages = [{"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
+    )
+    return response.choices[0].message["content"]
+
+# text = f"""
+# You should express what you want a model to do by \ 
+# providing instructions that are as clear and \ 
+# specific as you can possibly make them. \ 
+# This will guide the model towards the desired output, \ 
+# and reduce the chances of receiving irrelevant \ 
+# or incorrect responses. Don't confuse writing a \ 
+# clear prompt with writing a short prompt. \ 
+# In many cases, longer prompts provide more clarity \ 
+# and context for the model, which can lead to \ 
+# more detailed and relevant outputs.
+# """
+# prompt = f"""
+# Summarize the text delimited by triple backticks \ 
+# into a single sentence.
+# ```{text}```
+# """
+# response = get_completion(prompt)
+
+# print(response)
+
+
+# prompt = f"""
+# Generate a list of three made-up book titles along \ 
+# with their authors and genres. 
+# Provide them in JSON format with the following keys: 
+# book_id, title, author, genre.
+# """
+# response = get_completion(prompt)
+# print(response)
+
+
+# text_1 = f"""
+# Making a cup of tea is easy! First, you need to get some \ 
+# water boiling. While that's happening, \ 
+# grab a cup and put a tea bag in it. Once the water is \ 
+# hot enough, just pour it over the tea bag. \ 
+# Let it sit for a bit so the tea can steep. After a \ 
+# few minutes, take out the tea bag. If you \ 
+# like, you can add some sugar or milk to taste. \ 
+# And that's it! You've got yourself a delicious \ 
+# cup of tea to enjoy.
+# """
+# prompt = f"""
+# You will be provided with text delimited by triple quotes. 
+# If it contains a sequence of instructions, \ 
+# re-write those instructions in the following format:
+
+# Step 1 - ...
+# Step 2 - …
+# …
+# Step N - …
+
+# If the text does not contain a sequence of instructions, \ 
+# then simply write \"No steps provided.\"
+
+# \"\"\"{text_1}\"\"\"
+# """
+# response = get_completion(prompt)
+# print("Completion for Text 1:")
+# print(response)
+
+# prompt = f"""
+# Your task is to answer in a consistent style.
+
+# <child>: Teach me about patience.
+
+# <grandparent>: The river that carves the deepest \ 
+# valley flows from a modest spring; the \ 
+# grandest symphony originates from a single note; \ 
+# the most intricate tapestry begins with a solitary thread.
+
+# <child>: Teach me about resilience.
+# """
+# response = get_completion(prompt)
+# print(response)
+
+
+# text = f"""
+# In a charming village, siblings Jack and Jill set out on \ 
+# a quest to fetch water from a hilltop \ 
+# well. As they climbed, singing joyfully, misfortune \ 
+# struck—Jack tripped on a stone and tumbled \ 
+# down the hill, with Jill following suit. \ 
+# Though slightly battered, the pair returned home to \ 
+# comforting embraces. Despite the mishap, \ 
+# their adventurous spirits remained undimmed, and they \ 
+# continued exploring with delight.
+# """
+# # example 1
+# prompt_1 = f"""
+# Perform the following actions: 
+# 1 - Summarize the following text delimited by triple \
+# backticks with 1 sentence.
+# 2 - Translate the summary into French.
+# 3 - List each name in the French summary.
+# 4 - Output a json object that contains the following \
+# keys: french_summary, num_names.
+
+# Separate your answers with line breaks.
+
+# Text:
+# ```{text}```
+# """
+# response = get_completion(prompt_1)
+# print("Completion for prompt 1:")
+# print(response)
+
+
+# prompt_2 = f"""
+# Your task is to perform the following actions: 
+# 1 - Summarize the following text delimited by 
+#   <> with 1 sentence.
+# 2 - Translate the summary into French.
+# 3 - List each name in the French summary.
+# 4 - Output a json object that contains the 
+#   following keys: french_summary, num_names.
+
+# Use the following format:
+# Text: <text to summarize>
+# Summary: <summary>
+# Translation: <summary translation>
+# Names: <list of names in summary>
+# Output JSON: <json with summary and num_names>
+
+# Text: <{text}>
+# """
+# response = get_completion(prompt_2)
+# print("\nCompletion for prompt 2:")
+# print(response)
+
+
+# prompt = f"""
+# Determine if the student's solution is correct or not.
+
+# Question:
+# I'm building a solar power installation and I need \
+#  help working out the financials. 
+# - Land costs $100 / square foot
+# - I can buy solar panels for $250 / square foot
+# - I negotiated a contract for maintenance that will cost \ 
+# me a flat $100k per year, and an additional $10 / square \
+# foot
+# What is the total cost for the first year of operations 
+# as a function of the number of square feet.
+
+# Student's Solution:
+# Let x be the size of the installation in square feet.
+# Costs:
+# 1. Land cost: 100x
+# 2. Solar panel cost: 250x
+# 3. Maintenance cost: 100,000 + 100x
+# Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000
+# """
+# response = get_completion(prompt)
+# print(response)
+
+
+# prompt = f"""
+# Your task is to determine if the student's solution \
+# is correct or not.
+# To solve the problem do the following:
+# - First, work out your own solution to the problem including the final total. 
+# - Then compare your solution to the student's solution \ 
+# and evaluate if the student's solution is correct or not. 
+# Don't decide if the student's solution is correct until 
+# you have done the problem yourself.
+
+# Use the following format:
+# Question:
+# ```
+# question here
+# ```
+# Student's solution:
+# ```
+# student's solution here
+# ```
+# Actual solution:
+# ```
+# steps to work out the solution and your solution here
+# ```
+# Is the student's solution the same as actual solution \
+# just calculated:
+# ```
+# yes or no
+# ```
+# Student grade:
+# ```
+# correct or incorrect
+# ```
+
+# Question:
+# ```
+# I'm building a solar power installation and I need help \
+# working out the financials. 
+# - Land costs $100 / square foot
+# - I can buy solar panels for $250 / square foot
+# - I negotiated a contract for maintenance that will cost \
+# me a flat $100k per year, and an additional $10 / square \
+# foot
+# What is the total cost for the first year of operations \
+# as a function of the number of square feet.
+# ``` 
+# Student's solution:
+# ```
+# Let x be the size of the installation in square feet.
+# Costs:
+# 1. Land cost: 100x
+# 2. Solar panel cost: 250x
+# 3. Maintenance cost: 100,000 + 100x
+# Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000
+# ```
+# Actual solution:
+# """
+# response = get_completion(prompt)
+# print(response)
+
+
+prompt = f"""
+Tell me about AeroGlide UltraSlim Smart Toothbrush by Boie
+"""
+response = get_completion(prompt)
+print(response)
+

tutorial_2.py

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+import openai
+import os
+from IPython.display import display, HTML # type: ignore
+
+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"):
+    messages = [{"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
+    )
+    return response.choices[0].message["content"]
+
+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 = 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)
+
+
+
+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.
+
+Use at most 3 sentences..
+
+Technical specifications: ```{fact_sheet_chair}```
+"""
+response = get_completion(prompt)
+print(response)
+
+
+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)
+
+display(HTML(response))

tutorial_3.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"):
+    messages = [{"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
+    )
+    return response.choices[0].message["content"]
+
+
+prod_review = """
+Got this panda plush toy for my daughter's birthday, \
+who loves it and takes it everywhere. It's soft and \ 
+super cute, and its face has a friendly look. It's \ 
+a bit small for what I paid though. I think there \ 
+might be other options that are bigger for the \ 
+same price. It arrived a day earlier than expected, \ 
+so I got to play with it myself before I gave it \ 
+to her.
+"""
+
+prompt = f"""
+Your task is to extract relevant information from \ 
+a product review from an ecommerce site to give \
+feedback to the Shipping department. 
+
+From the review below, delimited by triple quotes \
+extract the information relevant to shipping and \ 
+delivery. Limit to 30 words. 
+
+Review: ```{prod_review}``` # type: ignore
+"""
+
+response = get_completion(prompt)
+print(response)
+
+review_1 = prod_review 
+
+# review for a standing lamp
+review_2 = """
+Needed a nice lamp for my bedroom, and this one \
+had additional storage and not too high of a price \
+point. Got it fast - arrived in 2 days. The string \
+to the lamp broke during the transit and the company \
+happily sent over a new one. Came within a few days \
+as well. It was easy to put together. Then I had a \
+missing part, so I contacted their support and they \
+very quickly got me the missing piece! Seems to me \
+to be a great company that cares about their customers \
+and products. 
+"""
+
+# review for an electric toothbrush
+review_3 = """
+My dental hygienist recommended an electric toothbrush, \
+which is why I got this. The battery life seems to be \
+pretty impressive so far. After initial charging and \
+leaving the charger plugged in for the first week to \
+condition the battery, I've unplugged the charger and \
+been using it for twice daily brushing for the last \
+3 weeks all on the same charge. But the toothbrush head \
+is too small. I’ve seen baby toothbrushes bigger than \
+this one. I wish the head was bigger with different \
+length bristles to get between teeth better because \
+this one doesn’t.  Overall if you can get this one \
+around the $50 mark, it's a good deal. The manufactuer's \
+replacements heads are pretty expensive, but you can \
+get generic ones that're more reasonably priced. This \
+toothbrush makes me feel like I've been to the dentist \
+every day. My teeth feel sparkly clean! 
+"""
+
+# review for a blender
+review_4 = """
+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.
+"""
+
+reviews = [review_1, review_2, review_3, review_4]
+
+for i in range(len(reviews)):
+    prompt = f"""
+    Your task is to generate a short summary of a product \ 
+    review from an ecommerce site. 
+
+    Summarize the review below, delimited by triple \
+    backticks in at most 20 words. 
+
+    Review: ```{reviews[i]}```
+    """
+
+    response = get_completion(prompt)
+    print(i, response, "\n")

tutorial_4.py

@@ -0,0 +1,193 @@
+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"):
+    messages = [{"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
+    )
+    return response.choices[0].message["content"]
+
+lamp_review = """
+Needed a nice lamp for my bedroom, and this one had \
+additional storage and not too high of a price point. \
+Got it fast.  The string to our lamp broke during the \
+transit and the company happily sent over a new one. \
+Came within a few days as well. It was easy to put \
+together.  I had a missing part, so I contacted their \
+support and they very quickly got me the missing piece! \
+Lumina seems to me to be a great company that cares \
+about their customers and products!!
+"""
+
+
+prompt = f"""
+What is the sentiment of the following product review, 
+which is delimited with triple backticks?
+
+Review text: '''{lamp_review}'''
+"""
+response = get_completion(prompt)
+print(response)
+
+
+prompt = f"""
+What is the sentiment of the following product review, 
+which is delimited with triple backticks?
+
+Give your answer as a single word, either "positive" \
+or "negative".
+
+Review text: '''{lamp_review}'''
+"""
+response = get_completion(prompt)
+print(response)
+
+
+prompt = f"""
+Identify a list of emotions that the writer of the \
+following review is expressing. Include no more than \
+five items in the list. Format your answer as a list of \
+lower-case words separated by commas.
+
+Review text: '''{lamp_review}'''
+"""
+response = get_completion(prompt)
+print(response)
+
+
+prompt = f"""
+Is the writer of the following review expressing anger?\
+The review is delimited with triple backticks. \
+Give your answer as either yes or no.
+
+Review text: '''{lamp_review}'''
+"""
+response = get_completion(prompt)
+print(response)
+
+
+prompt = f"""
+Identify the following items from the review text: 
+- Item purchased by reviewer
+- Company that made the item
+
+The review is delimited with triple backticks. \
+Format your response as a JSON object with \
+"Item" and "Brand" as the keys. 
+If the information isn't present, use "unknown" \
+as the value.
+Make your response as short as possible.
+  
+Review text: '''{lamp_review}'''
+"""
+response = get_completion(prompt)
+print(response)
+
+prompt = f"""
+Identify the following items from the review text: 
+- Sentiment (positive or negative)
+- Is the reviewer expressing anger? (true or false)
+- Item purchased by reviewer
+- Company that made the item
+
+The review is delimited with triple backticks. \
+Format your response as a JSON object with \
+"Sentiment", "Anger", "Item" and "Brand" as the keys.
+If the information isn't present, use "unknown" \
+as the value.
+Make your response as short as possible.
+Format the Anger value as a boolean.
+
+Review text: '''{lamp_review}'''
+"""
+response = get_completion(prompt)
+print(response)
+
+story = """
+In a recent survey conducted by the government, 
+public sector employees were asked to rate their level 
+of satisfaction with the department they work at. 
+The results revealed that NASA was the most popular 
+department with a satisfaction rating of 95%.
+
+One NASA employee, John Smith, commented on the findings, 
+stating, "I'm not surprised that NASA came out on top. 
+It's a great place to work with amazing people and 
+incredible opportunities. I'm proud to be a part of 
+such an innovative organization."
+
+The results were also welcomed by NASA's management team, 
+with Director Tom Johnson stating, "We are thrilled to 
+hear that our employees are satisfied with their work at NASA. 
+We have a talented and dedicated team who work tirelessly 
+to achieve our goals, and it's fantastic to see that their 
+hard work is paying off."
+
+The survey also revealed that the 
+Social Security Administration had the lowest satisfaction 
+rating, with only 45% of employees indicating they were 
+satisfied with their job. The government has pledged to 
+address the concerns raised by employees in the survey and 
+work towards improving job satisfaction across all departments.
+"""
+
+prompt = f"""
+Determine five topics that are being discussed in the \
+following text, which is delimited by triple backticks.
+
+Make each item one or two words long. 
+
+Format your response as a list of items separated by commas.
+
+Text sample: '''{story}'''
+"""
+response = get_completion(prompt)
+print(response)
+
+response.split(sep=',')
+
+topic_list = [
+    "nasa", "local government", "engineering", 
+    "employee satisfaction", "federal government"
+]
+
+prompt = f"""
+Determine whether each item in the following list of \
+topics is a topic in the text below, which
+is delimited with triple backticks.
+
+Give your answer as list with 0 or 1 for each topic.\
+
+List of topics: {", ".join(topic_list)}
+
+Text sample: '''{story}'''
+"""
+response = get_completion(prompt)
+print(response)
+
+response = """nasa: 1
+space: 2
+mars: 0
+exploration: 3"""
+
+topic_dict = {}
+for line in response.split(sep='\n'):
+    parts = line.split(': ')
+    if len(parts) == 2:
+        topic_dict[parts[0]] = int(parts[1])
+
+if topic_dict.get('nasa') == 1:
+    print("ALERT: New NASA story!")
+    
+
+# topic_dict = {i.split(': ')[0]: int(i.split(': ')[1]) for i in response.split(sep='\n')}
+# if topic_dict['nasa'] == 1:
+#     print("ALERT: New NASA story!")

tutorial_5.py

@@ -0,0 +1,142 @@
+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"):
+    messages = [{"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
+    )
+    return response.choices[0].message["content"]
+
+prompt = f"""
+Translate the following English text to Gujrati: \ 
+```Hi, I would like to order a blender```
+"""
+response = get_completion(prompt)
+print(response)
+
+prompt = f"""
+Tell me which language this is: 
+```Combien coûte le lampadaire?```
+"""
+response = get_completion(prompt)
+print(response)
+
+prompt = f"""
+Translate the following  text to French and Spanish
+and English pirate: \
+```I want to order a basketball```
+"""
+response = get_completion(prompt)
+print(response)
+
+prompt = f"""
+Translate the following text to Spanish in both the \
+formal and informal forms: 
+'Would you like to order a pillow?'
+"""
+response = get_completion(prompt)
+print(response)
+
+print("=======================")
+user_messages = [
+  "La performance du système est plus lente que d'habitude.",  # System performance is slower than normal         
+  "Mi monitor tiene píxeles que no se iluminan.",              # My monitor has pixels that are not lighting
+  "Il mio mouse non funziona",                                 # My mouse is not working
+  "Mój klawisz Ctrl jest zepsuty",                             # My keyboard has a broken control key
+  "我的屏幕在闪烁",
+  "My name is Vivek Dabhi"
+] 
+
+for issue in user_messages:
+    prompt = f"Tell me what language this is: ```{issue}```"
+    lang = get_completion(prompt)
+    print(f"Original message ({lang}): {issue}")
+
+    prompt = f"""
+    Translate the following  text to English \
+    and Gujrati: ```{issue}```
+    """
+    response = get_completion(prompt)
+    print(response, "\n")
+    
+print("=======================")
+
+prompt = f"""
+Translate the following from slang to a business letter: 
+'Dude, This is Joe, check out this spec on this standing lamp.'
+"""
+response = get_completion(prompt)
+print(response)
+
+data_json = { "resturant employees" :[ 
+    {"name":"Shyam", "email":"shyamjaiswal@gmail.com"},
+    {"name":"Bob", "email":"bob32@gmail.com"},
+    {"name":"Jai", "email":"jai87@gmail.com"}
+]}
+
+prompt = f"""
+Translate the following python dictionary from JSON to an HTML \
+table with column headers and title: {data_json}
+"""
+response = get_completion(prompt)
+print(response)
+
+from IPython.display import display, Markdown, Latex, HTML, JSON
+display(HTML(response))
+
+text = [ 
+  "The girl with the black and white puppies have a ball.",  # The girl has a ball.
+  "Yolanda has her notebook.", # ok
+  "Its going to be a long day. Does the car need it’s oil changed?",  # Homonyms
+  "Their goes my freedom. There going to bring they’re suitcases.",  # Homonyms
+  "Your going to need you’re notebook.",  # Homonyms
+  "That medicine effects my ability to sleep. Have you heard of the butterfly affect?", # Homonyms
+  "This phrase is to cherck chatGPT for speling abilitty"  # spelling
+]
+for t in text:
+    prompt = f"""Proofread and correct the following text
+    and rewrite the corrected version. If you don't find
+    and errors, just say "No errors found". Don't use 
+    any punctuation around the text:
+    ```{t}```"""
+    response = get_completion(prompt)
+    print(response)
+    
+
+text = f"""
+Got this for my daughter for her birthday cuz she keeps taking \
+mine from my room.  Yes, adults also like pandas too.  She takes \
+it everywhere with her, and it's super soft and cute.  One of the \
+ears is a bit lower than the other, and I don't think that was \
+designed to be asymmetrical. It's a bit small for what I paid for it \
+though. I think there might be other options that are bigger for \
+the same price.  It arrived a day earlier than expected, so I got \
+to play with it myself before I gave it to my daughter.
+"""
+prompt = f"proofread and correct this review: ```{text}```"
+response = get_completion(prompt)
+print(response)
+
+
+from redlines import Redlines
+
+diff = Redlines(text,response)
+display(Markdown(diff.output_markdown))
+
+
+prompt = f"""
+proofread and correct this review. Make it more compelling. 
+Ensure it follows APA style guide and targets an advanced reader. 
+Output in markdown format.
+Text: ```{text}```
+"""
+response = get_completion(prompt)
+display(Markdown(response))

tutorial_6.py

@@ -0,0 +1,90 @@
+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)