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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "ddfa9ae6-69fe-444a-b994-8c4c5970a7ec",
+ "metadata": {},
+ "source": [
+ "# Project - Airline AI Assistant\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": 1,
+ "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"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "747e8786-9da8-4342-b6c9-f5f69c2e22ae",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "OpenAI API Key exists and begins sk-proj-\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Initialization\n",
+ "\n",
+ "load_dotenv(override=True)\n",
+ "\n",
+ "openai_api_key = os.getenv('OPENAI_API_KEY')\n",
+ "if openai_api_key:\n",
+ " print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n",
+ "else:\n",
+ " print(\"OpenAI API Key not set\")\n",
+ " \n",
+ "MODEL = \"gpt-4o-mini\"\n",
+ "openai = OpenAI()\n",
+ "\n",
+ "# As an alternative, if you'd like to use Ollama instead of OpenAI\n",
+ "# Check that Ollama is running for you locally (see week1/day2 exercise) then uncomment these next 2 lines\n",
+ "# MODEL = \"llama3.2\"\n",
+ "# openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "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": "code",
+ "execution_count": 4,
+ "id": "61a2a15d-b559-4844-b377-6bd5cb4949f6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7901\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# This function looks rather simpler than the one from my video, because we're taking advantage of the latest Gradio updates\n",
+ "\n",
+ "def chat(message, history):\n",
+ " messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n",
+ " response = openai.chat.completions.create(model=MODEL, messages=messages)\n",
+ " return response.choices[0].message.content\n",
+ "\n",
+ "gr.ChatInterface(fn=chat, type=\"messages\").launch()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "36bedabf-a0a7-4985-ad8e-07ed6a55a3a4",
+ "metadata": {},
+ "source": [
+ "## Tools\n",
+ "\n",
+ "Tools are an incredibly powerful feature provided by the frontier LLMs.\n",
+ "\n",
+ "With tools, you can write a function, and have the LLM call that function as part of its response.\n",
+ "\n",
+ "Sounds almost spooky.. we're giving it the power to run code on our machine?\n",
+ "\n",
+ "Well, kinda."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 85,
+ "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\")\n",
+ "\n",
+ "def get_destinations():\n",
+ " destinations=ticket_prices.keys()\n",
+ " cities=\", \".join(destinations) \n",
+ " return cities"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 86,
+ "id": "80ca4e09-6287-4d3f-997d-fa6afbcf6c85",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Tool get_ticket_price called for Berlin\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "'london, paris, tokyo, berlin'"
+ ]
+ },
+ "execution_count": 86,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "get_ticket_price(\"Berlin\")\n",
+ "get_destinations()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "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": 29,
+ "id": "5842b7f1-e357-494c-9bd4-3aa9f9fd4332",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# There's a particular dictionary structure that's required to describe our function:\n",
+ "\n",
+ "destination_function = {\n",
+ " \"name\": \"get_destinations\",\n",
+ " \"description\": \"Get the destinations we serve. Call this whenever you need to know the destinations FlightAI flies to, for example when a customer asks 'Where do you fly to'\",\n",
+ " \"parameters\": {\n",
+ " },\n",
+ " \"additionalProperties\": False\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "bdca8679-935f-4e7f-97e6-e71a4d4f228c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# And this is included in a list of tools:\n",
+ "\n",
+ "tools = [{\"type\": \"function\", \"function\": price_function},\n",
+ " {\"type\": \"function\", \"function\": destination_function}]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c3d3554f-b4e3-4ce7-af6f-68faa6dd2340",
+ "metadata": {},
+ "source": [
+ "## Getting OpenAI to use our Tool\n",
+ "\n",
+ "There's some fiddly stuff to allow OpenAI \"to call our tool\"\n",
+ "\n",
+ "What we actually do is give the LLM the opportunity to inform us that it wants us to run the tool.\n",
+ "\n",
+ "Here's how the new chat function looks:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5db52df0-cb48-4017-bae3-0014f5ca3a56",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def chat(message, history):\n",
+ " messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"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",
+ " tool_name = message.tool_calls[0].function.name\n",
+ "\n",
+ " if tool_name == \"get_ticket_price\":\n",
+ " response, city = handle_tool_call(message)\n",
+ " elif tool_name == \"get_destinations\":\n",
+ " response = handle_tool_call_destination(message)\n",
+ "\n",
+ " messages.extend([message, response])\n",
+ " response = openai.chat.completions.create(model=MODEL, messages=messages)\n",
+ "\n",
+ " return response.choices[0].message.content"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 91,
+ "id": "b0992986-ea09-4912-a076-8e5603ee631f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# We have to write that function handle_tool_call for price:\n",
+ "\n",
+ "def handle_tool_call_price(message):\n",
+ " tool_call = message.tool_calls[0]\n",
+ " arguments = json.loads(tool_call.function.arguments)\n",
+ " city = arguments.get('destination_city')\n",
+ " price = get_ticket_price(city)\n",
+ " response = {\n",
+ " \"role\": \"tool\",\n",
+ " \"content\": json.dumps({\"destination_city\": city,\"price\": price}),\n",
+ " \"tool_call_id\": tool_call.id\n",
+ " }\n",
+ " return response, city"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 92,
+ "id": "4bbffdb0-5ab7-414e-8d2b-3d9367e64526",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# We have to write that function handle_tool_call for destinations:\n",
+ "\n",
+ "def handle_tool_call_destination(message):\n",
+ " tool_call = message.tool_calls[0]\n",
+ " destinations = get_destinations()\n",
+ " print(destinations)\n",
+ " response = {\n",
+ " \"role\": \"tool\",\n",
+ " \"content\": destinations,\n",
+ " \"tool_call_id\": tool_call.id\n",
+ " }\n",
+ " return response"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 93,
+ "id": "f4be8a71-b19e-4c2f-80df-f59ff2661f14",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7928\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
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+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 93,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Tool get_ticket_price called for Paris\n",
+ "Tool get_ticket_price called for Timbuktu\n",
+ "london, paris, tokyo, berlin\n"
+ ]
+ }
+ ],
+ "source": [
+ "gr.ChatInterface(fn=chat, type=\"messages\").launch()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "243c156d-86c3-4d0a-8119-d0a532daa5cc",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "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
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