{ "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!" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.11" } }, "nbformat": 4, "nbformat_minor": 5 }