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