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Merge pull request ed-donner#219 from mokhtar77777/mokh_week1_day1
Mokh Week 1 Day 1 Contribution
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‎week1/community-contributions/Chat_Summary_Data/Chat_Examples/Chat1.txt

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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.

‎week1/community-contributions/Chat_Summary_Data/Chat_Examples/Chat2.txt

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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

‎week1/community-contributions/Chat_Summary_Data/Chat_Examples/Chat3.txt

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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

‎week1/community-contributions/Chat_Summary_Data/System_Prompt.txt

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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

‎week1/community-contributions/week1_day1_chat_summarizer.ipynb

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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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}

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