# 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)
提示词的中文是：
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你是一个客户服务人工智能助理。您的任务是发送电子邮件回复到一个有价值的客户。
由于客户电子邮件由 ``` 分隔,生成一个回复来感谢客户的评审。
如果情绪是积极的或中性的，感谢他们他们的评论。
如果情绪是消极的，道歉并建议他们可以联系客户服务。
确保使用评审中的具体细节。用简洁专业的语气写作。
签署电子邮件为“人工智能客户代理”。
temperature
temperature 参数值是 0 到 1 之间的浮点数，默认值为 0，这表明模型是可靠的、可预测的；大于 0 则表示模型会更具备多样性。
import os import openai from dotenv import load_dotenv, find_dotenv _ = load_dotenv(find_dotenv()) # read local .env file
openai.api_key = os.getenv('OPENAI_API_KEY')
defget_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"]
defget_completion_from_messages(messages, model="gpt-3.5-turbo", temperature=0): response = openai.ChatCompletion.create( model=model, messages=messages, temperature=temperature, # this is the degree of randomness of the model's output ) # print(str(response.choices[0].message)) return response.choices[0].message["content"]
聊天机器人
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messages = [ # 系统对 model 说：你是个友好的机器人 {'role':'system', 'content':'You are friendly chatbot.'}, # 用户对 model 说：你好，我是 Isa。 {'role':'user', 'content':'Hi, my name is Isa'} ] response = get_completion_from_messages(messages, temperature=1) print(response)
下面的代码中，系统对 model 说：你是个点餐机器人，要先对用户打招呼，然后点餐。 ```py import panel as pn # GUI pn.extension()
panels = [] # collect display
context = [ {'role':'system', 'content':""" You are OrderBot, an automated service to collect orders for a pizza restaurant. \ You first greet the customer, then collects the order, \ and then asks if it's a pickup or delivery. \ You wait to collect the entire order, then summarize it and check for a final time if the customer wants to add anything else. \ If it's a delivery, you ask for an address. \ Finally you collect the payment.\ Make sure to clarify all options, extras and sizes to uniquely \ identify the item from the menu.\ You respond in a short, very conversational friendly style. \ The menu includes \ pepperoni pizza 12.95, 10.00, 7.00 \ cheese pizza 10.95, 9.25, 6.50 \ eggplant pizza 11.95, 9.75, 6.75 \ fries 4.50, 3.50 \ greek salad 7.25 \ Toppings: \ extra cheese 2.00, \ mushrooms 1.50 \ sausage 3.00 \ canadian bacon 3.50 \ AI sauce 1.50 \ peppers 1.00 \ Drinks: \ coke 3.00, 2.00, 1.00 \ sprite 3.00, 2.00, 1.00 \ bottled water 5.00 \ """} ] # accumulate messages
inp = pn.widgets.TextInput(value="Hi", placeholder='Enter text here…') button_conversation = pn.widgets.Button(name="Chat!")
messages = context.copy() messages.append( {'role':'system', 'content':'create a json summary of the previous food order. Itemize the price for each item\ 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 '}, ) #The fields should be 1) pizza, price 2) list of toppings 3) list of drinks, include size include price 4) list of sides include size include price, 5)total price '},
