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Airlines fully customized project and refine query approach by using llama in week 2

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codenigma1 5 months ago
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  1. 1
      week2/community-contributions/day3-refine-user-query-by-llama.ipynb
  2. 640
      week2/community-contributions/day4-airlines-project-fullyCustomize.ipynb

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week2/community-contributions/day3-refine-user-query-by-llama.ipynb

@ -117,7 +117,6 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Simpler than in my video - we can easily create this function that calls OpenAI\n",
"# It's now just 1 line of code to prepare the input to OpenAI!\n", "# It's now just 1 line of code to prepare the input to OpenAI!\n",
"\n", "\n",
"def chat(message, history):\n", "def chat(message, history):\n",

640
week2/community-contributions/day4-airlines-project-fullyCustomize.ipynb

@ -0,0 +1,640 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "ddfa9ae6-69fe-444a-b994-8c4c5970a7ec",
"metadata": {},
"source": [
"# **Project - Airline AI Assistant**\n",
"\n",
"## **Important Features of Airline AI Assistant**\n",
"\n",
"### ✈ **Flight Availability**\n",
"- Check available flights to a destination with:\n",
" - Airline name, departure time, price, and duration.\n",
"- Alerts user if no flights are found.\n",
"\n",
"### 🛫 **Step-by-step Flight Booking**\n",
"- Guides users through:\n",
" 1. Selecting source and destination cities.\n",
" 2. Choosing a flight option.\n",
" 3. Providing passenger details (name, age).\n",
"- Ensures source and destination are not the same.\n",
"\n",
"### 🌛 **Ticket Generation**\n",
"- Creates a unique ticket file: `firstName_lastName_bookingNumber.txt`.\n",
"- Ticket includes:\n",
" - Passenger details\n",
" - Flight details (airline, time, price, seat number)\n",
"\n",
"### 📊 **Generate Summary Report**\n",
"- Summarizes all bookings into a single file: `summary_report.txt`.\n",
"- Includes all flight and passenger details for review or administration.\n",
"\n",
"### 🪑 **Automated Seat Assignment**\n",
"- Assigns a random but consistent seat number for each booking.\n",
"- Ensures unique seats for each flight.\n",
"\n",
"### 💬 **Interactive Chat Interface**\n",
"- Real-time conversation via Gradio.\n",
"- Provides clear, polite responses based on user input.\n",
"\n",
"### 🛠 **Modular Tool Support**\n",
"- Integrated tools for:\n",
" - Checking flight availability\n",
" - Booking flights\n",
" - Generating reports\n",
"- Easily extensible for future features.\n",
"\n",
"### 🛡 **Error Handling**\n",
"- Validates user inputs and prevents invalid bookings.\n",
"- Graceful error messages for smooth user experience.\n",
"\n",
"---\n",
"\n",
"These features ensure a seamless, user-friendly experience while booking flights or managing ticket details!\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "747e8786-9da8-4342-b6c9-f5f69c2e22ae",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import json\n",
"import random\n",
"from dotenv import load_dotenv\n",
"import gradio as gr\n",
"from openai import OpenAI\n",
"\n",
"load_dotenv()\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\" # or \"gpt-3.5-turbo\", etc.\n",
"openai = OpenAI()"
]
},
{
"cell_type": "code",
"execution_count": 155,
"id": "0a521d84-d07c-49ab-a0df-d6451499ed97",
"metadata": {},
"outputs": [],
"source": [
"###############################################################################\n",
"# 1) System Prompt\n",
"###############################################################################\n",
"system_message = (\n",
" \"You are a helpful assistant for an Airline called FlightAI.\\n\\n\"\n",
" \"When the user wants to book a flight, follow these steps:\\n\"\n",
" \"1. Ask for the source city.\\n\"\n",
" \"2. Ask for the destination city (must be different from source).\\n\"\n",
" \"3. Call the function 'check_flight_availability' with the user's destination.\\n\"\n",
" \" - If it returns an empty list, say: 'No flights to that city'.\\n\"\n",
" \" - If it returns flights, list them EXACTLY, in a numbered list, showing airline, time, price, and duration.\\n\"\n",
" \"4. Wait for the user to pick one flight option by number.\\n\"\n",
" \"5. Then ask for passenger first name, last name, and age.\\n\"\n",
" \"6. Finally call 'book_flight' to confirm and show the user the real seat number and booking details.\\n\\n\"\n",
" \"You also have a tool 'generate_report' which summarizes ALL booked tickets in a single file.\\n\\n\"\n",
" \"IMPORTANT:\\n\"\n",
" \"- Always call 'check_flight_availability' if user mentions a new destination.\\n\"\n",
" \"- Do not invent flights or seat numbers. Use what the function calls return.\\n\"\n",
" \"- Source and destination cannot be the same.\\n\"\n",
" \"- Every time a flight is booked, produce a new ticket file named firstName_lastName_bookingNumber.txt.\\n\"\n",
" \"- If a city is not in flight_availability, say 'No flights found for that city'.\\n\"\n",
" \"If the user wants all tickets summarized, call 'generate_report' with no arguments (the function has none).\\n\"\n",
" \"If you don't know something, say so.\\n\"\n",
" \"Keep answers short and courteous.\\n\"\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": 156,
"id": "61a2a15d-b559-4844-b377-6bd5cb4949f6",
"metadata": {},
"outputs": [],
"source": [
"###############################################################################\n",
"# 2) Flight Availability with Price & Duration\n",
"###############################################################################\n",
"flight_availability = {\n",
" \"london\": [\n",
" {\n",
" \"airline\": \"AirlinesAI\",\n",
" \"time\": \"10:00 AM\",\n",
" \"price\": \"$799\",\n",
" \"duration\": \"8 hours\"\n",
" },\n",
" {\n",
" \"airline\": \"IndianAirlinesAI\",\n",
" \"time\": \"3:00 PM\",\n",
" \"price\": \"$899\",\n",
" \"duration\": \"8 hours\"\n",
" },\n",
" {\n",
" \"airline\": \"AmericanAirlinesAI\",\n",
" \"time\": \"8:00 PM\",\n",
" \"price\": \"$999\",\n",
" \"duration\": \"8 hours\"\n",
" },\n",
" ],\n",
" \"paris\": [\n",
" {\n",
" \"airline\": \"EuropeanAirlinesAI\",\n",
" \"time\": \"11:00 AM\",\n",
" \"price\": \"$399\",\n",
" \"duration\": \"7 hours\"\n",
" },\n",
" {\n",
" \"airline\": \"BudgetAirlines\",\n",
" \"time\": \"6:00 PM\",\n",
" \"price\": \"$2399\",\n",
" \"duration\": \"7 hours\"\n",
" },\n",
" ],\n",
" \"tokyo\": [\n",
" {\n",
" \"airline\": \"TokyoAirlinesAI\",\n",
" \"time\": \"12:00 PM\",\n",
" \"price\": \"$4000\",\n",
" \"duration\": \"5 hours\"\n",
" },\n",
" {\n",
" \"airline\": \"FastFly\",\n",
" \"time\": \"7:00 PM\",\n",
" \"price\": \"$1400\",\n",
" \"duration\": \"5 hours\"\n",
" },\n",
" ],\n",
" \"berlin\": [\n",
" {\n",
" \"airline\": \"BerlinAirlinesAI\",\n",
" \"time\": \"9:00 AM\",\n",
" \"price\": \"$499\",\n",
" \"duration\": \"6 hours\"\n",
" },\n",
" {\n",
" \"airline\": \"AmericanAirlinesAI\",\n",
" \"time\": \"4:00 PM\",\n",
" \"price\": \"$899\",\n",
" \"duration\": \"6 hours\"\n",
" },\n",
" ],\n",
" \"nagpur\": [\n",
" {\n",
" \"airline\": \"IndianAirlinesAI\",\n",
" \"time\": \"8:00 AM\",\n",
" \"price\": \"$1000\",\n",
" \"duration\": \"10 hours\"\n",
" },\n",
" {\n",
" \"airline\": \"JetAirlines\",\n",
" \"time\": \"2:00 PM\",\n",
" \"price\": \"$1500\",\n",
" \"duration\": \"10 hours\"\n",
" },\n",
" {\n",
" \"airline\": \"AirlinesAI\",\n",
" \"time\": \"10:00 PM\",\n",
" \"price\": \"$800\",\n",
" \"duration\": \"10 hours\"\n",
" },\n",
" ],\n",
"}\n"
]
},
{
"cell_type": "code",
"execution_count": 157,
"id": "0696acb1-0b05-4dc2-80d5-771be04f1fb2",
"metadata": {},
"outputs": [],
"source": [
"# A global list of flight bookings\n",
"flight_bookings = []\n"
]
},
{
"cell_type": "code",
"execution_count": 158,
"id": "80ca4e09-6287-4d3f-997d-fa6afbcf6c85",
"metadata": {},
"outputs": [],
"source": [
"###############################################################################\n",
"# 3) Helper Functions\n",
"###############################################################################\n",
"def generate_seat_numbers(seed_value):\n",
" random.seed(seed_value)\n",
" return [\n",
" f\"{random.choice('ABCDEFGHIJKLMNOPQRSTUVWXYZ')}{random.randint(1, 99):02}\"\n",
" for _ in range(5)\n",
" ]\n",
"\n",
"def check_flight_availability(destination_city: str):\n",
" \"\"\"\n",
" Return the flights for a given city from 'flight_availability'.\n",
" If city not in dictionary, return an empty list.\n",
" \"\"\"\n",
" print(f\"[TOOL] check_flight_availability({destination_city})\")\n",
" city = destination_city.lower()\n",
" return flight_availability.get(city, [])\n",
"\n",
"def generate_ticket_file(booking_dict, booking_number):\n",
" \"\"\"\n",
" Create a text file: firstName_lastName_bookingNumber.txt\n",
" containing flight details.\n",
" \"\"\"\n",
" fname = booking_dict[\"first_name\"].replace(\" \", \"_\")\n",
" lname = booking_dict[\"last_name\"].replace(\" \", \"_\")\n",
" filename = f\"{fname}_{lname}_{booking_number}.txt\"\n",
"\n",
" content = (\n",
" \"Flight Ticket\\n\"\n",
" \"=============\\n\"\n",
" f\"Booking # : {booking_number}\\n\"\n",
" f\"Passenger : {booking_dict['first_name']} {booking_dict['last_name']}, Age {booking_dict['age']}\\n\"\n",
" f\"Source : {booking_dict['source']}\\n\"\n",
" f\"Destination : {booking_dict['destination']}\\n\"\n",
" f\"Airline : {booking_dict['airline']}\\n\"\n",
" f\"Departure : {booking_dict['time']}\\n\"\n",
" f\"Price : {booking_dict['price']}\\n\"\n",
" f\"Duration : {booking_dict['duration']}\\n\"\n",
" f\"Seat Number : {booking_dict['seat']}\\n\"\n",
" )\n",
" with open(filename, \"w\") as f:\n",
" f.write(content)\n",
"\n",
" print(f\"[TOOL] Ticket file generated => {filename}\")\n",
" return filename\n",
"\n",
"def book_flight(source, destination, option_index, first_name, last_name, age):\n",
" \"\"\"\n",
" Book a flight using an option index for the chosen city.\n",
" - source != destination\n",
" - index is 1-based => we do pick = idx - 1\n",
" - create new booking record, seat assignment, & ticket file\n",
" \"\"\"\n",
" print(f\"[TOOL] book_flight({source=}, {destination=}, {option_index=})\")\n",
"\n",
" if source.lower() == destination.lower():\n",
" return \"Error: source and destination must not be the same.\"\n",
"\n",
" # Convert option index from string to integer\n",
" try:\n",
" idx = int(option_index)\n",
" except ValueError:\n",
" return \"Error: flight option number is not a valid integer.\"\n",
"\n",
" flights = check_flight_availability(destination)\n",
" if not flights:\n",
" return f\"Error: No flights found for {destination.title()}.\"\n",
"\n",
" pick = idx - 1\n",
" if pick < 0 or pick >= len(flights):\n",
" return f\"Error: Invalid flight option #{idx} for {destination.title()}.\"\n",
"\n",
" chosen_flight = flights[pick]\n",
" airline = chosen_flight[\"airline\"]\n",
" dep_time = chosen_flight[\"time\"]\n",
" price = chosen_flight[\"price\"]\n",
" duration = chosen_flight[\"duration\"]\n",
"\n",
" # Generate seat\n",
" seat_list = generate_seat_numbers(hash(destination + airline + str(len(flight_bookings))))\n",
" chosen_seat = seat_list[0]\n",
"\n",
" new_booking = {\n",
" \"source\": source.title(),\n",
" \"destination\": destination.title(),\n",
" \"airline\": airline,\n",
" \"time\": dep_time,\n",
" \"price\": price,\n",
" \"duration\": duration,\n",
" \"seat\": chosen_seat,\n",
" \"first_name\": first_name.title(),\n",
" \"last_name\": last_name.title(),\n",
" \"age\": age,\n",
" }\n",
" flight_bookings.append(new_booking)\n",
"\n",
" booking_number = len(flight_bookings)\n",
" ticket_filename = generate_ticket_file(new_booking, booking_number)\n",
"\n",
" confirmation = (\n",
" f\"Booking #{booking_number} confirmed for {first_name.title()} {last_name.title()}. \"\n",
" f\"Flight from {source.title()} to {destination.title()} on {airline} at {dep_time}. \"\n",
" f\"Ticket saved to {ticket_filename}.\"\n",
" )\n",
" print(f\"[TOOL] {confirmation}\")\n",
" return confirmation\n",
"\n",
"def generate_report():\n",
" \"\"\"\n",
" Summarize ALL tickets in a single file called summary_report.txt.\n",
" \"\"\"\n",
" print(f\"[TOOL] generate_report called.\")\n",
"\n",
" report_content = \"Flight Booking Summary Report\\n\"\n",
" report_content += \"=============================\\n\"\n",
"\n",
" if not flight_bookings:\n",
" report_content += \"No bookings found.\\n\"\n",
" else:\n",
" for i, booking in enumerate(flight_bookings, start=1):\n",
" report_content += (\n",
" f\"Booking # : {i}\\n\"\n",
" f\"Passenger : {booking['first_name']} {booking['last_name']}, Age {booking['age']}\\n\"\n",
" f\"Source : {booking['source']}\\n\"\n",
" f\"Destination : {booking['destination']}\\n\"\n",
" f\"Airline : {booking['airline']}\\n\"\n",
" f\"Departure : {booking['time']}\\n\"\n",
" f\"Price : {booking['price']}\\n\"\n",
" f\"Duration : {booking['duration']}\\n\"\n",
" f\"Seat Number : {booking['seat']}\\n\"\n",
" \"-------------------------\\n\"\n",
" )\n",
"\n",
" filename = \"summary_report.txt\"\n",
" with open(filename, \"w\") as f:\n",
" f.write(report_content)\n",
"\n",
" msg = f\"Summary report generated => {filename}\"\n",
" print(f\"[TOOL] {msg}\")\n",
" return msg\n"
]
},
{
"cell_type": "code",
"execution_count": 159,
"id": "39fb9008",
"metadata": {},
"outputs": [],
"source": [
"###############################################################################\n",
"# 4) Tools JSON Schemas\n",
"###############################################################################\n",
"price_function = {\n",
" \"name\": \"get_ticket_price\",\n",
" \"description\": \"Get the price of a return ticket for the city from the flight list data (not strictly needed now).\",\n",
" \"parameters\": {\n",
" \"type\": \"object\",\n",
" \"properties\": {\n",
" \"destination_city\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"City name.\",\n",
" },\n",
" },\n",
" \"required\": [\"destination_city\"],\n",
" },\n",
"}\n",
"\n",
"availability_function = {\n",
" \"name\": \"check_flight_availability\",\n",
" \"description\": (\n",
" \"Check flight availability for the specified city. \"\n",
" \"Returns a list of {airline, time, price, duration}.\"\n",
" ),\n",
" \"parameters\": {\n",
" \"type\": \"object\",\n",
" \"properties\": {\n",
" \"destination_city\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"City name to check in flight_availability dict.\",\n",
" },\n",
" },\n",
" \"required\": [\"destination_city\"],\n",
" },\n",
"}\n",
"\n",
"book_function = {\n",
" \"name\": \"book_flight\",\n",
" \"description\": (\n",
" \"Book a flight using an option index for the chosen city. \"\n",
" \"Generates a unique ticket file firstName_lastName_{bookingNumber}.txt each time.\"\n",
" ),\n",
" \"parameters\": {\n",
" \"type\": \"object\",\n",
" \"properties\": {\n",
" \"source\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"User's source city (must differ from destination).\",\n",
" },\n",
" \"destination\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"User's destination city.\",\n",
" },\n",
" \"option_index\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"1-based flight option number the user selected from check_flight_availability.\",\n",
" },\n",
" \"first_name\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"Passenger's first name.\",\n",
" },\n",
" \"last_name\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"Passenger's last name.\",\n",
" },\n",
" \"age\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"Passenger's age.\",\n",
" },\n",
" },\n",
" \"required\": [\"source\", \"destination\", \"option_index\", \"first_name\", \"last_name\", \"age\"],\n",
" },\n",
"}\n",
"\n",
"report_function = {\n",
" \"name\": \"generate_report\",\n",
" \"description\": (\n",
" \"Generates a summary report of ALL tickets in summary_report.txt.\"\n",
" ),\n",
" \"parameters\": {\n",
" \"type\": \"object\",\n",
" \"properties\": {\n",
" },\n",
" \"required\": [],\n",
" },\n",
"}\n",
"\n",
"tools = [\n",
" {\"type\": \"function\", \"function\": price_function},\n",
" {\"type\": \"function\", \"function\": availability_function},\n",
" {\"type\": \"function\", \"function\": book_function},\n",
" {\"type\": \"function\", \"function\": report_function},\n",
"]\n"
]
},
{
"cell_type": "code",
"execution_count": 160,
"id": "1f003836",
"metadata": {},
"outputs": [],
"source": [
"###############################################################################\n",
"# 5) Handle Tool Calls\n",
"###############################################################################\n",
"def handle_tool_call(message):\n",
" \"\"\"\n",
" The LLM can request to call a function in 'tools'. We parse the JSON arguments\n",
" and run the Python function. Then we return a 'tool' message with the result.\n",
" \"\"\"\n",
" tool_call = message.tool_calls[0]\n",
" fn_name = tool_call.function.name\n",
" args = json.loads(tool_call.function.arguments)\n",
"\n",
" if fn_name == \"get_ticket_price\":\n",
" city = args.get(\"destination_city\")\n",
" flights = check_flight_availability(city)\n",
" # In this code, we do not strictly store a single 'price' per city,\n",
" # but let's just return the flights with price or \"No flights\".\n",
" if not flights:\n",
" response_content = {\"destination_city\": city, \"price\": \"No flights found.\"}\n",
" else:\n",
" # Return the first flight's price or something\n",
" response_content = {\n",
" \"destination_city\": city,\n",
" \"price\": flights[0][\"price\"]\n",
" }\n",
"\n",
" elif fn_name == \"check_flight_availability\":\n",
" city = args.get(\"destination_city\")\n",
" flights = check_flight_availability(city)\n",
" response_content = {\"destination_city\": city, \"availability\": flights}\n",
"\n",
" elif fn_name == \"book_flight\":\n",
" src = args.get(\"source\")\n",
" dest = args.get(\"destination\")\n",
" idx = args.get(\"option_index\")\n",
" first_name = args.get(\"first_name\")\n",
" last_name = args.get(\"last_name\")\n",
" age = args.get(\"age\")\n",
"\n",
" confirmation = book_flight(src, dest, idx, first_name, last_name, age)\n",
" response_content = {\n",
" \"source\": src,\n",
" \"destination\": dest,\n",
" \"option_index\": idx,\n",
" \"first_name\": first_name,\n",
" \"last_name\": last_name,\n",
" \"age\": age,\n",
" \"confirmation\": confirmation\n",
" }\n",
"\n",
" elif fn_name == \"generate_report\":\n",
" # No args needed\n",
" msg = generate_report()\n",
" response_content = {\"report\": msg}\n",
"\n",
" else:\n",
" response_content = {\"error\": f\"Unknown tool: {fn_name}\"}\n",
"\n",
" return {\n",
" \"role\": \"tool\",\n",
" \"content\": json.dumps(response_content),\n",
" \"tool_call_id\": tool_call.id,\n",
" }, args\n"
]
},
{
"cell_type": "code",
"execution_count": 161,
"id": "f6b34b32",
"metadata": {},
"outputs": [],
"source": [
"###############################################################################\n",
"# 6) Main Chat Function\n",
"###############################################################################\n",
"def chat(message, history):\n",
" \"\"\"\n",
" The main chat loop that handles the conversation with the user,\n",
" passing 'tools' definitions to the LLM for function calling.\n",
" \"\"\"\n",
" messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n",
"\n",
" try:\n",
" response = openai.chat.completions.create(\n",
" model=MODEL,\n",
" messages=messages,\n",
" tools=tools\n",
" )\n",
"\n",
" # If the LLM requests a function call, handle it\n",
" while response.choices[0].finish_reason == \"tool_calls\":\n",
" msg = response.choices[0].message\n",
" print(f\"[INFO] Tool call requested: {msg.tool_calls[0]}\")\n",
" tool_response, tool_args = handle_tool_call(msg)\n",
" print(f\"[INFO] Tool response: {tool_response}\")\n",
"\n",
" # Add both the LLM's request and our tool response to the conversation\n",
" messages.append(msg)\n",
" messages.append(tool_response)\n",
"\n",
" # Re-send updated conversation to get final or next step\n",
" response = openai.chat.completions.create(\n",
" model=MODEL,\n",
" messages=messages\n",
" )\n",
"\n",
" # Return normal text response (finish_reason = \"stop\")\n",
" return response.choices[0].message.content\n",
"\n",
" except Exception as e:\n",
" print(f\"[ERROR] {e}\")\n",
" return \"I'm sorry, something went wrong while processing your request.\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cea4b097",
"metadata": {},
"outputs": [],
"source": [
"###############################################################################\n",
"# 7) Launch Gradio\n",
"###############################################################################\n",
"gr.ChatInterface(fn=chat, type=\"messages\").launch()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0b39d5a6",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "llm_env",
"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": "3.11.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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