Merge branch 'w2t1'
This commit is contained in:
Edward Donner
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week2/community-contributions/task1.ipynb
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323
week2/community-contributions/task1.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "ddfa9ae6-69fe-444a-b994-8c4c5970a7ec",
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"metadata": {},
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"source": [
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"# Student Contribution\n",
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"\n",
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"An awesome variation that includes a tool to make a booking! Thank you! -- Ed\n",
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"\n",
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"# Project - Airline AI Assistant with Booking Tool\n",
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"\n",
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"We'll now bring together what we've learned to make an AI Customer Support assistant for an Airline"
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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": null,
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"id": "8b50bbe2-c0b1-49c3-9a5c-1ba7efa2bcb4",
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"metadata": {},
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"outputs": [],
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"source": [
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"# imports\n",
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"\n",
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"import os\n",
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"import json\n",
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"from dotenv import load_dotenv\n",
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"from openai import OpenAI\n",
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"import gradio as gr\n",
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"import pandas as pd"
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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": null,
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"id": "747e8786-9da8-4342-b6c9-f5f69c2e22ae",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Initialization\n",
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"\n",
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"load_dotenv()\n",
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"os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n",
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"MODEL = \"gpt-4o-mini\"\n",
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"openai = OpenAI()"
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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": null,
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"id": "0a521d84-d07c-49ab-a0df-d6451499ed97",
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"metadata": {},
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"outputs": [],
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"source": [
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"system_message = \"You are a helpful assistant for an Airline called FlightAI. \"\n",
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"system_message += \"Give short, courteous answers, no more than 1 sentence. \"\n",
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"system_message += \"Always be accurate. If you don't know the answer, say so.\""
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]
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},
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{
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"cell_type": "markdown",
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"id": "36bedabf-a0a7-4985-ad8e-07ed6a55a3a4",
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"metadata": {},
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"source": [
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"## Tools\n",
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"\n",
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"* Price and Booking"
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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": null,
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"id": "0696acb1-0b05-4dc2-80d5-771be04f1fb2",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Let's start by making a useful function\n",
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"\n",
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"ticket_prices = {\"london\": \"$799\", \"paris\": \"$899\", \"tokyo\": \"$1400\", \"berlin\": \"$499\"}\n",
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"\n",
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"def get_ticket_price(destination_city):\n",
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" print(f\"Tool get_ticket_price called for {destination_city}\")\n",
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" city = destination_city.lower()\n",
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" return ticket_prices.get(city, \"Unknown\")"
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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": null,
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"id": "4afceded-7178-4c05-8fa6-9f2085e6a344",
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"metadata": {},
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"outputs": [],
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"source": [
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"# There's a particular dictionary structure that's required to describe our function:\n",
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"\n",
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"price_function = {\n",
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" \"name\": \"get_ticket_price\",\n",
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" \"description\": \"Get the price of a return ticket to the destination city. Call this whenever you need to know the ticket price, for example when a customer asks 'How much is a ticket to this city'\",\n",
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" \"parameters\": {\n",
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" \"type\": \"object\",\n",
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" \"properties\": {\n",
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" \"destination_city\": {\n",
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" \"type\": \"string\",\n",
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" \"description\": \"The city that the customer wants to travel to\",\n",
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" },\n",
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" },\n",
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" \"required\": [\"destination_city\"],\n",
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" \"additionalProperties\": False\n",
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" }\n",
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"}"
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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": null,
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"id": "6996ab93",
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"metadata": {},
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"outputs": [],
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"source": [
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"# \"required\": [\"destination_city\", \"num_tickets\", \"ticket_class\", \"mail_address\"]\n",
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"\n",
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"booking_function = {\n",
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" \"name\": \"book_ticket\",\n",
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" \"description\": \"Book a ticket to a destination city.\",\n",
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" \"parameters\": {\n",
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" \"type\": \"object\",\n",
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" \"properties\": {\n",
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" \"destination_city\": {\n",
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" \"type\": \"string\",\n",
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" \"description\": \"The city the customer wants to travel to\",\n",
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" },\n",
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" \"num_tickets\": {\n",
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" \"type\": \"integer\",\n",
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" \"description\": \"The number of tickets to book\",\n",
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" },\n",
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" \"ticket_class\": {\n",
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" \"type\": \"string\",\n",
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" \"description\": \"The class of the ticket (e.g., economy, business)\",\n",
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" },\n",
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"\n",
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" \"mail_address\": {\n",
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" \"type\": \"string\",\n",
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" \"description\": \"Mail address to send the ticket to\",\n",
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" },\n",
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" },\n",
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" \"required\": [\"destination_city\", \"num_tickets\", \"ticket_class\", \"mail_address\"],\n",
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" \"additionalProperties\": False\n",
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" }\n",
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"}"
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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": null,
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"id": "6d62733e",
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"metadata": {},
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"outputs": [],
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"source": [
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"# And this is included in a list of tools:\n",
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"\n",
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"tools = [{\"type\": \"function\", \"function\": price_function},\n",
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" {\"type\": \"function\", \"function\": booking_function}]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c3d3554f-b4e3-4ce7-af6f-68faa6dd2340",
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"metadata": {},
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"source": [
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"## Creating Application"
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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": null,
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"id": "f671dbb3",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Creating ID for each booking\n",
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"# Produces IDs like 'BK-000001', 'BK-000002'\n",
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"\n",
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"booking_counter = 0\n",
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"\n",
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"def generate_unique_booking_id():\n",
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" global booking_counter\n",
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" booking_counter += 1\n",
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" return f\"BK-{booking_counter:06d}\" \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": null,
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"id": "77ae8c75",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Temporary storage for bookings\n",
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"bookingDB = pd.DataFrame()"
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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": null,
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"id": "b0992986-ea09-4912-a076-8e5603ee631f",
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"metadata": {},
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"outputs": [],
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"source": [
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"# We have to write that function handle_tool_call:\n",
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"\n",
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"def handle_tool_call(message):\n",
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" global bookingDB\n",
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" tool_call = message.tool_calls[0]\n",
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" if tool_call.function.name == \"get_ticket_price\":\n",
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" arguments = json.loads(tool_call.function.arguments)\n",
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" destination_city = arguments.get('destination_city')\n",
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" price = get_ticket_price(destination_city)\n",
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" response = {\n",
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" \"role\": \"tool\",\n",
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" \"content\": json.dumps({\"destination_city\": destination_city,\"price\": price}),\n",
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" \"tool_call_id\": message.tool_calls[0].id\n",
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" }\n",
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" return response\n",
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" \n",
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" elif tool_call.function.name == \"book_ticket\":\n",
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" arguments = json.loads(tool_call.function.arguments)\n",
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" destination_city = arguments.get('destination_city')\n",
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" num_tickets = arguments.get('num_tickets')\n",
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" ticket_class = arguments.get('ticket_class')\n",
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" mail_address = arguments.get('mail_address')\n",
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" response = {\n",
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" \"role\": \"tool\",\n",
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" \"content\": json.dumps({\"destination_city\": destination_city,\"num_tickets\": num_tickets, \"ticket_class\": ticket_class}),\n",
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" \"tool_call_id\": message.tool_calls[0].id\n",
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" } \n",
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" # Get the ticket price\n",
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" price = int(get_ticket_price(destination_city).replace(\"$\", \"\"))\n",
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" total_price = price * num_tickets\n",
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" # Generate a unique booking ID\n",
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" booked_ID = generate_unique_booking_id()\n",
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" # Define the booking data\n",
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" data = {\n",
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" \"booking_id\": [booked_ID],\n",
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" \"mail_address\": [mail_address],\n",
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" \"destination_city\": [destination_city],\n",
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" \"num_tickets\": [num_tickets],\n",
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" \"ticket_class\": [ticket_class],\n",
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" \"total_price\": [total_price],\n",
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" }\n",
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" booking_temp = pd.DataFrame(data)\n",
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" bookingDB = bookingDB._append(booking_temp)\n",
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" # Can update with real booking system\n",
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" bookingDB.to_csv('bookingDB.csv', index=False)\n",
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" return response"
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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": null,
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"id": "ce9b0744-9c78-408d-b9df-9f6fd9ed78cf",
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"metadata": {},
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"outputs": [],
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"source": [
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"def chat(message, history):\n",
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" messages = [{\"role\": \"system\", \"content\": system_message}]\n",
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" for human, assistant in history:\n",
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" messages.append({\"role\": \"user\", \"content\": human})\n",
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" messages.append({\"role\": \"assistant\", \"content\": assistant})\n",
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" messages.append({\"role\": \"user\", \"content\": message})\n",
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" response = openai.chat.completions.create(model=MODEL, messages=messages, tools=tools)\n",
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"\n",
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" if response.choices[0].finish_reason==\"tool_calls\":\n",
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" message = response.choices[0].message\n",
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" response = handle_tool_call(message)\n",
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" messages.append(message)\n",
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" messages.append(response)\n",
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" response = openai.chat.completions.create(model=MODEL, messages=messages)\n",
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" \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": null,
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"id": "f4be8a71-b19e-4c2f-80df-f59ff2661f14",
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"metadata": {},
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"outputs": [],
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"source": [
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"gr.ChatInterface(fn=chat).launch()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "11c9da69-d0cf-4cf2-a49e-e5669deec47b",
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"metadata": {},
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"source": [
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"## Enjoy, Happy Learning Thanks to Ed!"
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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": "3.11.10"
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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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