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Client: Hello I would like to order a pizza |
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Restaurant: Sure. What pizza would you like to order from our menu? |
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Client: Chicken Ranch |
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Restaurant: I am so sorry, but chicken ranch is currently unavailable on our menu |
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Client: AHHHHH. Do you have chicken BBQ? |
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Restaurant: Yes! Do you want it small, medium, or large? |
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Client: Medium |
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Restaurant: Ok. This will be 180 LE |
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Client: Thanks |
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Restaurant: Anytime. |
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Client: AHHHH I forgot. I want to add a new chicken BBQ pizza |
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Restaurant: No problem. Do you also want it medium? |
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Client: Yes |
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Restaurant: Okay this will be 380 LE |
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Client: Okay Thanks |
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Client: Wait a minute. Isn't 180 * 2 = 360? |
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Restaurant: It seems that there might be a misunderstanding. We add an extra 20 LE for every extra pizza ordered. |
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Client: NOBODY TOLD ME THAT.. AND WHY ON EARTH WOULD YOU DO SOMETHING LIKE THAT? |
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Restaurant: We are sorry but this is our policy. |
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Client: Okay then I don't want your pizza. |
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Restaurant: We are so sorry to hear that. We can make a 10% discount on the total price so it would be 342 LE |
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Client: Fine |
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Restaurant: Thank you for ordering |
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Restaurant: Pizza is delivered. How is your experience? |
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Client: Your pizza doesn't taste good |
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Restaurant: We are so sorry to hear that. Do you have any suggestions you would like to make? |
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Client: Make good pizza |
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Restaurant: Thanks for your review. We will make sure to improve our pizza in the future. Your opinion really matters. |
@ -0,0 +1,5 @@ |
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Client: Hello I would like to order a chicken ranch pizza |
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Restaurant: I am so sorry, but chicken ranch is currently unavailable on our menu |
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Client: Okay thanks |
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Restaurant: Would you like to order something else? |
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Client: No thank you |
@ -0,0 +1,19 @@ |
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Client: Hello. What is the most selling pizza on your menu? |
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Restaurant: Hello! Chicken Ranch pizza is our most selling pizza. Also our special pepperoni pizza got some amazing reviews |
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Client: Okay. I want to order a pepperoni pizza |
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Restaurant: Sure. Do you want it small, medium, or large? |
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Client: Large |
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Restaurant: Okay. This will be 210 LE. Would you like to order something else? |
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Client: Yes. Do you have onion rings? |
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Restaurant: Yes |
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Client: Okay I would like to add onion rings. |
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Restaurant: Sure. This will be 250 LE |
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Client: Thanks |
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Restaurant: Anytime |
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Client: I have been waiting for too long and the order hasn't arrived yet |
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Restaurant: Sorry to hear that. But it appears that the order is on its way to you. |
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Restaurant: The order is supposed to be arrived by now. |
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Client: Yes it is arrived. |
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Restaurant: How is your experience? |
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Client: Your pizza tastes soooooo good. The order took too long to arrive but when I tasted the pizza, I was really enjoying it and forgot everything about the delay. |
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Restaurant: We are so glad to hear that |
@ -0,0 +1,15 @@ |
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You are an assistant working for the customer service department in a pizza restaurant. |
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You are to receive a chat between a client and the restaurant's customer service. |
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You should generate your responses based on the following criteria: |
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- What did the client order? |
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- How much did it cost? |
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- If the client changed their mind just keep their final order and the final cost |
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- Mention the client's experience only if they ordered anything as follows: (Positive/Negative/Neutral/Unknown) |
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- If the client did not order anything do not mention their sentiment or experience |
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- If the client's experience is positive or negative only, provide a brief summary about their sentiment |
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- Do not provide brief summary about their sentiment if their experience was neutral or unknown. |
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- Your answers should be clear, straight to the point, and do not use long sentences |
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- Your answers should be displayed in bullet points |
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- Your answers should be displayed in markdown |
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- If the client did not order anything provide a brief summary why that might happened |
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- Do not mention cost if the client did not order anything |
@ -0,0 +1,217 @@ |
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{ |
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"cells": [ |
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{ |
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"cell_type": "code", |
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"execution_count": 1, |
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"id": "2ce61bb5-1d5b-43b8-b5bb-6aeae91c7574", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import os\n", |
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"from dotenv import load_dotenv\n", |
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"from openai import OpenAI\n", |
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"from IPython.display import Markdown, display" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 2, |
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"id": "3399686d-5f14-4fb2-8939-fd2401be3007", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"MODEL = \"gpt-4o-mini\"\n", |
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"SYSTEM_PROMPT_PATH = \"Chat_Summary_Data/System_Prompt.txt\"\n", |
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"CHATS_PATH = \"Chat_Summary_Data/Chat_Examples/\"" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 3, |
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"id": "d97b8374-a161-435c-8317-1d0ecaaa9b71", |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"name": "stdout", |
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"output_type": "stream", |
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"text": [ |
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"API key found and looks good so far!\n" |
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] |
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} |
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], |
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"source": [ |
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"# Load environment variables in a file called .env\n", |
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"\n", |
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"load_dotenv(override=True)\n", |
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"api_key = os.getenv('OPENAI_API_KEY')\n", |
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"\n", |
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"# Check the key\n", |
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"\n", |
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"if not api_key:\n", |
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" print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", |
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"elif not api_key.startswith(\"sk-proj-\"):\n", |
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" print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", |
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"elif api_key.strip() != api_key:\n", |
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" print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", |
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"else:\n", |
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" print(\"API key found and looks good so far!\")\n" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 4, |
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"id": "b3f4afb4-2e4a-4971-915e-a8634a17eda8", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"class ChatAI:\n", |
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" def __init__(self, system_prompt_path=SYSTEM_PROMPT_PATH, model=MODEL):\n", |
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" with open(system_prompt_path, \"r\") as file:\n", |
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" self.system_prompt = file.read()\n", |
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"\n", |
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" self.openai = OpenAI()\n", |
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" self.model = model\n", |
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" \n", |
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" @staticmethod\n", |
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" def _get_user_prompt(chat_txt):\n", |
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" with open(chat_txt, \"r\") as file:\n", |
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" user_prompt_str = file.read()\n", |
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" return user_prompt_str\n", |
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" \n", |
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" def generate(self, chat_txt):\n", |
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" messages = [\n", |
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" {\"role\": \"system\", \"content\": self.system_prompt},\n", |
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" {\"role\": \"user\", \"content\": self._get_user_prompt(chat_txt)}\n", |
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" ]\n", |
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"\n", |
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" response = self.openai.chat.completions.create(model=self.model, messages=messages)\n", |
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" return response.choices[0].message.content" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 5, |
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"id": "d243b582-66af-49f9-bcd1-e05a63e61c34", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"chat_ai = ChatAI()" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 8, |
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"id": "c764ace6-5a0f-4dd0-9454-0b8a093b97fc", |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"data": { |
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"text/markdown": [ |
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"# Chat1" |
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], |
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"text/plain": [ |
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"<IPython.core.display.Markdown object>" |
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] |
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}, |
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"metadata": {}, |
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"output_type": "display_data" |
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}, |
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{ |
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"data": { |
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"text/markdown": [ |
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"- **Order:** 2 Medium Chicken BBQ Pizzas\n", |
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"- **Cost:** 342 LE\n", |
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"- **Experience:** Negative\n", |
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" - **Summary:** The client expressed dissatisfaction with the pizza taste." |
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], |
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"text/plain": [ |
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"<IPython.core.display.Markdown object>" |
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] |
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}, |
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"metadata": {}, |
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"output_type": "display_data" |
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}, |
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{ |
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"data": { |
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"text/markdown": [ |
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"# Chat2" |
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], |
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"text/plain": [ |
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"<IPython.core.display.Markdown object>" |
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] |
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}, |
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"metadata": {}, |
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"output_type": "display_data" |
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}, |
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{ |
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"data": { |
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"text/markdown": [ |
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"- The client ordered: Nothing \n", |
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"- Summary: The client did not place an order because the chicken ranch pizza was unavailable." |
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], |
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"text/plain": [ |
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"<IPython.core.display.Markdown object>" |
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] |
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}, |
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"metadata": {}, |
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|
"output_type": "display_data" |
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}, |
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{ |
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"data": { |
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"text/markdown": [ |
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"# Chat3" |
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], |
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"text/plain": [ |
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"<IPython.core.display.Markdown object>" |
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] |
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}, |
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"metadata": {}, |
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|
"output_type": "display_data" |
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}, |
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{ |
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"data": { |
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"text/markdown": [ |
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"- **Order**: Large pepperoni pizza and onion rings \n", |
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"- **Total Cost**: 250 LE \n", |
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"- **Experience**: Positive \n", |
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" - The client enjoyed the pizza despite the delay in delivery." |
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], |
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"text/plain": [ |
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"<IPython.core.display.Markdown object>" |
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] |
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}, |
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"metadata": {}, |
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"output_type": "display_data" |
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} |
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], |
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"source": [ |
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"chats_txt = os.listdir(CHATS_PATH)\n", |
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"for chat_file in chats_txt:\n", |
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" markdown_heading = f\"# {chat_file[:-4]}\"\n", |
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" display(Markdown(markdown_heading))\n", |
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" display(Markdown(chat_ai.generate(CHATS_PATH+chat_file)))" |
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] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.11" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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} |
Loading…
Reference in new issue