diff --git a/week2/community-contributions/day4-multipleTools.ipynb b/week2/community-contributions/day4-multipleTools.ipynb new file mode 100644 index 0000000..ad3375e --- /dev/null +++ b/week2/community-contributions/day4-multipleTools.ipynb @@ -0,0 +1,288 @@ +{ + "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": 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" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "747e8786-9da8-4342-b6c9-f5f69c2e22ae", + "metadata": {}, + "outputs": [], + "source": [ + "# Initialization\n", + "\n", + "load_dotenv()\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()" + ] + }, + { + "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": "code", + "execution_count": null, + "id": "61a2a15d-b559-4844-b377-6bd5cb4949f6", + "metadata": {}, + "outputs": [], + "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": 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": "80ca4e09-6287-4d3f-997d-fa6afbcf6c85", + "metadata": {}, + "outputs": [], + "source": [ + "get_ticket_price(\"London\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d20e3e2a-113d-446e-a4b5-93a7e2a7ae5b", + "metadata": {}, + "outputs": [], + "source": [ + "weather = {\"london\": \"10 degree\", \"paris\": \"20 degree\", \"tokyo\": \"30 degree\", \"berlin\": \"15 degree\"}\n", + "\n", + "def get_weather(destination_city):\n", + " print(f\"Tool get_weather called for {destination_city}\")\n", + " city = destination_city.lower()\n", + " return weather.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", + "}\n", + "\n", + "weather_function = {\n", + " \"name\": \"get_weather\",\n", + " \"description\": \"Fetches the current weather for a given city. Call this whenever you need to know the weather. for example when a customer asks 'What's the weather like for this city'\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"destination_city\": {\n", + " \"type\": \"string\",\n", + " \"description\": \"The name of the city to get weather for.\"\n", + " }\n", + " },\n", + " \"required\": [\"destination_city\"],\n", + " \"additionalProperties\": False\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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}, {\"type\": \"function\", \"function\": weather_function}]" + ] + }, + { + "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", + " tool_responses = []\n", + " for tool_call in message.tool_calls:\n", + " function_name = tool_call.function.name\n", + " arguments = json.loads(tool_call.function.arguments)\n", + " city = arguments.get('destination_city')\n", + " \n", + " if function_name == \"get_ticket_price\":\n", + " result = get_ticket_price(city)\n", + " elif function_name == \"get_weather\":\n", + " result = get_weather(city)\n", + " \n", + " # Append tool response in OpenAI format\n", + " tool_responses.append({\n", + " \"role\": \"tool\",\n", + " \"tool_call_id\": tool_call.id,\n", + " \"name\": function_name,\n", + " \"content\": json.dumps(result) # Convert result to JSON string\n", + " })\n", + " print(json.dumps(tool_responses, indent=2))\n", + " return tool_responses, city" + ] + }, + { + "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}] + 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", + " response, city = handle_tool_call(message)\n", + " messages.append(message)\n", + " # loop thru response\n", + " for res in response:\n", + " messages.append(res)\n", + " \n", + " response = openai.chat.completions.create(model=MODEL, messages=messages)\n", + " \n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "markdown", + "id": "c3d3554f-b4e3-4ce7-af6f-68faa6dd2340", + "metadata": {}, + "source": [ + "## With this implemenation, you can either ask for ticket price/weather separately or ask for both ticket and weather at the same time. \n", + " For example: I want to visit London, can you help me find ticket price and its weather\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f4be8a71-b19e-4c2f-80df-f59ff2661f14", + "metadata": {}, + "outputs": [], + "source": [ + "gr.ChatInterface(fn=chat, type=\"messages\").launch()" + ] + } + ], + "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 +}