Building the Apple Calculator in a Jupyter Notebook

LLM
function_calling
ReAct
calculator
Author

Christian Wittmann

Published

August 2, 2024

Did you see Apple’s iPad calculator demo on WWDC 2024? Apple calls this feature “Math Notes”. It looks pretty cool how you can hand-write calculations, and it solves them on the fly. Apple created a seamless UI, but if you remove the interactivity, it is “just” a vision-based calculator which solves the equations on the screen. Building on my previous blog post (“How to Turn GPT into a Calculator”), let’s implement a vision-based calculator!

Math Notes from WWDC 2024
Math Notes from WWDC 2024

In the first two sections of this blog post, we re-create the calculator of “How to Turn GPT into a Calculator”. Essentially, there is nothing new in these two sections, it is just a summary of my previous blog post.

The implementation of the vision-based calculator starts in section “Implementing the Vision-based Calculator”. Please feel free to skip ahead to this section.

Before we jump into the code, if you prefer the interactive experience of a Jupyter notebook, please hop over to GitHub for the Jupyter Notebook version of this blog post.

Implementing Chat Basics

Let’s start with the final versions of the chat messages and chat client classes based on Building Chat for Jupyter Notebooks from Scratch and How to Turn GPT into a Calculator.

Code
from IPython.display import display, Markdown

class ChatMessages:

    def __init__(self):
        """Initializes the Chat."""
        self._messages = []

    def _append_message(self, role, content):
        """Appends a message with specified role and content to messages list."""
        self._messages.append({"role": role, "content": content})

    def append_system_message(self, content):
        """Appends a system message with specified content to messages list."""
        self._append_message("system", content)
    
    def append_tool_message(self, content, tool_call_id):
        """Appends a tool message with specified content to messages list."""
        self._messages.append({"role": "tool", "content": content, "tool_call_id": tool_call_id})

    def append_user_message(self, content):
        """Appends a user message with specified content to messages list."""
        self._append_message("user", content)

    def append_assistant_message(self, content=None, tool_calls=None):
        """Appends an assistant message with specified content to messages list."""
        if content:
            self._append_message("assistant", content)
        else:
            self._messages.append({"role": "assistant", "tool_calls": tool_calls})

    def get_messages(self):
        """Returns a shallow copy of the messages list."""
        return self._messages[:]
    
    def get_last_assistant_message(self):
        """Returns the content of the last assistant message"""
        return self._messages[-1]['content']
    
    def get_debug_view(self):
        """Returns the debug view of the chat messages formatted as Markdown."""
        debug_view = []
        for message in self._messages:
            role = message.get('role')
            content = message.get('content', '')

            if role == 'system' or role == 'user':
                debug_view.append(f"**{role}**: {content}\n")

            elif role == 'assistant':
                if 'tool_calls' in message:
                    debug_view.append("**tool calls**\n")
                    for i, tool_call in enumerate(message['tool_calls'], start=1):
                        function_name = tool_call.function.name
                        arguments = tool_call.function.arguments
                        tool_call_id = tool_call.id
                        debug_view.append(f"{i}. tool: {function_name}: {arguments} (tool call id: {tool_call_id})\n")
                else:
                    debug_view.append(f"**assistant**: {content}\n")

            elif role == 'tool':
                tool_call_id = message.get('tool_call_id', '')
                debug_view.append(f"**tool result**: {content} (tool call id: {tool_call_id})\n")

        return Markdown('\n'.join(debug_view))
Code
#model_name = "gpt-3.5-turbo"
#model_name = "gpt-4o-mini"
model_name = "gpt-4o"

from dotenv import load_dotenv
import os

load_dotenv(".env")

from openai import chat

class ChatClient:

    def __init__(self, system_message=None, tools=None):
        """Initializes the Chat with the system message."""
        self._chat_messages = ChatMessages()
        if system_message:
            self._chat_messages.append_system_message(system_message)
        self._tools = tools

    def call_tool(self, tool_call):
        """returns the result of an LLM tool call"""
        fc = tool_call.function #Updated
        if fc.name not in funcs_ok: return print(f'Not allowed: {fc.name}')
        f = globals()[fc.name]
        return f(**json.loads(fc.arguments))

    def call_tools(self, tool_calls):
        """Processes the tool calls of the LLM response and calls the LLM API again"""
        for tool_call in tool_calls:
            chat_client._chat_messages.append_tool_message(
                content=str(self.call_tool(tool_call)),
                tool_call_id=tool_call.id)
            
        self.ask_gpt()

    def get_model_response(self):
        """Calls the LLM chat completion API"""
        return chat.completions.create(
            model=model_name,
            messages=self._chat_messages.get_messages(),
            tools=self._tools)

    def ask_gpt(self, prompt=None):
        """Calls the LLM chat completion API and returns the response message"""
        
        if prompt:
            self._chat_messages.append_user_message(prompt)

        c = self.get_model_response()
        content = c.choices[0].message.content
        tool_calls = c.choices[0].message.tool_calls

        self._chat_messages.append_assistant_message(
            content=content,
            tool_calls=tool_calls)
        
        if tool_calls:
            self.call_tools(tool_calls)

        return Markdown(self._chat_messages.get_last_assistant_message())

Let’s run a quick test:

chat_client = ChatClient("Answer in a very concise and accurate way")
chat_client.ask_gpt("Name the planets in the solar system")

Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune.

chat_client.ask_gpt("Reverse the list")

Neptune, Uranus, Saturn, Jupiter, Mars, Earth, Venus, Mercury.

Re-creating the Calculator

With the chat up and running, let’s add function calling to enable reliable calculations.

Code
from pydantic import create_model
import inspect, json
from inspect import Parameter

def get_schema(f):
    kw = {n:(o.annotation, ... if o.default==Parameter.empty else o.default)
          for n,o in inspect.signature(f).parameters.items()}
    # update: schema -> model_json_schema
    s = create_model(f'Input for `{f.__name__}`', **kw).model_json_schema()
    # update: added function level in tools json
    function_params = dict(name=f.__name__, description=f.__doc__, parameters=s)
    return dict(type="function", function=function_params)
Code
def add(a: float, b: float = 1.0):
    "Adds a + b"
    return a + b

def subtract(a: float, b: float = 1.0):
    "Subtracts a - b"
    return a - b

def multiply(a: float, b: float = 1.0):
    "Multiplies a * b"
    return a * b

def divide(a: float, b: float = 1.0):
    "Divides a / b"
    if b == 0:
        return "Division by zero is not allowed."
    return a / b

funcs_ok = {'add', 'subtract', 'multiply', 'divide'}

def get_calc_tools():
    return [get_schema(add), get_schema(subtract), get_schema(multiply), get_schema(divide)]
Code
system_prompt = (
    "You are a calculator. \n"
    "Do not do even the simplest computations on your own, \n"
    "but use the tools provided. \n"
    "After the tool calls, explain the steps you took when answering. \n"
    "Answer with an accuracy of 3 decimals. \n"
    "Format all mathematical equations with LaTeX syntax so that they will render correctly in a Jupyter notebook, make absolutely sure to enclose LaTeX in `$`or `$$`."
)

Let’s run a quick test:

print(f"Expected result: {(6573 + 1) * 9132}")
print(f"LLM response:")
chat_client = ChatClient(system_message=system_prompt, tools=get_calc_tools())
chat_client.ask_gpt("What is (6573 + 1) * 9132?")
Expected result: 60033768
LLM response:

The result of the expression \((6573 + 1) * 9132\) is \(60,033,768\).

Here are the steps taken:

  1. Compute \(6573 + 1\) which results in \(6574\).
  2. Multiply \(6574\) by \(9132\), giving \(60,033,768\).

At this point, we have re-created the calculator from “How to Turn GPT into a Calculator”. Let’t turn it into a vision-based calculator.

Implementing the Vision-based Calculator

The following image will is our first test case. This is the hand-written calculation we used earlier:

The hand-written calculation we used earlier: (6573 + 1) * 9132

According to the OpenAI documentation, we need to encode images we want to upload to ChatGPT in base64.

import base64

def encode_image(image_path):
  """Encodes an image file in base64"""
  with open(image_path, "rb") as image_file:
    return base64.b64encode(image_file.read()).decode('utf-8')

image_path = "test-calculation.png"
base64_image = encode_image(image_path)

When passing an image in the chat, the format of the user-message changes. The content is not just a string, but we embed the image alongside the prompt.

from fastcore.utils import * #for importing patch

@patch 
def append_user_message(self:ChatMessages, content=None, base64_image=None):
    """Appends a user message with specified content to messages list."""
    if base64_image:
        image_content = [
            {"type": "text", "text": content},
            {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}}
        ]
        self._messages.append({"role": "user", "content": image_content})  
    else:
        self._append_message("user", content)
        

Consequently, we need to update the ask_gpt-method:

@patch
def ask_gpt(self:ChatClient, prompt=None, base64_image=None):
    
    if base64_image:
        self._chat_messages.append_user_message(content=prompt, base64_image=base64_image)

    if prompt:
        self._chat_messages.append_user_message(prompt)

    c = self.get_model_response()
    content = c.choices[0].message.content
    tool_calls = c.choices[0].message.tool_calls

    self._chat_messages.append_assistant_message(
        content=content,
        tool_calls=tool_calls)
    
    if tool_calls:
        self.call_tools(tool_calls)

    return Markdown(self._chat_messages.get_last_assistant_message())

That was essentially all the code we need to upgrade the calculator to add vision capabilities. Let’s run a quick test:

print(f"Expected result: {(6573 + 1) * 9132}")
print(f"LLM response:")
chat_client = ChatClient(system_message=system_prompt, tools=get_calc_tools())
chat_client.ask_gpt("Perform the calculation on the image", base64_image=base64_image)
Expected result: 60033768
LLM response:

First, we evaluate the inner expression:

\(6573 + 1 = 6574\)

Next, we perform the multiplication:

\(6574 \times 9132 = 60,033,768\)

So, the result of the calculation is (60,033,768).

Let’s take a look under the hood to see what happened in the background.

chat_client._chat_messages.get_debug_view()

system: You are a calculator. Do not do even the simplest computations on your own, but use the tools provided. After the tool calls, explain the steps you took when answering. Answer with an accuracy of 3 decimals. Format all mathematical equations with LaTeX syntax so that they will render correctly in a Jupyter notebook, make absolutely sure to enclose LaTeX in $or $$.

user: [{‘type’: ‘text’, ‘text’: ‘Perform the calculation on the image’}, {‘type’: ‘image_url’, ‘image_url’: {‘url’: ‘data:image/png;base64,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’}}]

user: Perform the calculation on the image

tool calls

  1. tool: add: {“a”: 6573, “b”: 1} (tool call id: call_Nc2s856OoeVy3RMVyxncr9H2)

  2. tool: multiply: {“a”: 6574, “b”: 9132} (tool call id: call_EslHqrFoFj9L7h78SSqvZlUi)

tool result: 6574 (tool call id: call_Nc2s856OoeVy3RMVyxncr9H2)

tool result: 60033768 (tool call id: call_EslHqrFoFj9L7h78SSqvZlUi)

assistant: First, we evaluate the inner expression:

\(6573 + 1 = 6574\)

Next, we perform the multiplication:

\(6574 \times 9132 = 60,033,768\)

So, the result of the calculation is (60,033,768).

Running the Apple Calculator

Now, we are ready to run the calculations from the WWDC 2024 video. Here is an image of the calculations without the solutions. Let’s ask ChatGPT to solve them:

The WWDC 2024 calculations without solutions
image_path = "apple-calculations.png"
base64_image = encode_image(image_path)

chat_client = ChatClient(system_message=system_prompt, tools=get_calc_tools())
chat_client.ask_gpt("Perform the calculation on the image. Only respond by writing out the solved calculations. Remember to enclose LaTeX in `$`or `$$`", base64_image=base64_image)

Based on the calculations:

\[57 - 18 = 39\] \[ (3 + 4) \times 20 = 140\] \[ \frac{36 \times 4}{12^2} = \frac{144}{144} = 1\] \[ \sin(30^\circ) = 0.5\] \[ \frac{10^2 \div 50}{\pi} = \frac{2}{\pi} \approx 0.637\] \[ 96 \times 28 = 2688\]

To double-check the result, here are the solutions from Apple:

The WWDC 2024 calculations with solutions