Terieyenike

Console.WriteLine("Console bassed calculator\n");
Console.WriteLine("========================");

bool continueCalculating = true;

while (continueCalculating)
{
  Console.WriteLine("Enter your first number: ");
  string? firstInput = Console.ReadLine();
  if (firstInput == null)

Terieyenike

import os
from dotenv import load_dotenv
load_dotenv()

api_key = os.getenv("OPENAI_API_KEY")

from openai import OpenAI
client = OpenAI()

famous_person = input("What celebrity would you like to talk to?\n")

Terieyenike

import random

# Board setup and functions
def print_board(board):
    print(f'{board[0]} | {board[1]} | {board[2]}')
    print('---------')
    print(f'{board[3]} | {board[4]} | {board[5]}')
    print('---------')
    print(f'{board[6]} | {board[7]} | {board[8]}')

Terieyenike

import pygame
import time
import random

# Initialize pygame
pygame.init()

# Define colors
dark_gray = (30, 30, 30)  # Background color
white = (255, 255, 255)   # Score text color

Terieyenike

import os
from dotenv import load_dotenv

from openai import OpenAI
client = OpenAI()

api_key = os.getenv('OPENAI_API_KEY')

text = 'In the future, we may be able to travel to other galaxies using wormholes or warp drives.'

Terieyenike

import os
from dotenv import load_dotenv

from openai import OpenAI
client = OpenAI()

api_key = os.getenv('OPENAI_API_KEY')

file = 'audio/german.mp3'
with open(file, 'rb') as audio_file:

Terieyenike

import os
from dotenv import load_dotenv

from openai import OpenAI
client = OpenAI()

api_key = os.getenv('OPENAI_API_KEY')

file = 'audio/rr.mp3'
with open(file, 'rb') as audio_file:

Terieyenike

from openai import OpenAI
client = OpenAI()

import os
from dotenv import load_dotenv
api_key = os.getenv("OPENAI_API_KEY")    

def get_chat_completion(user_prompt, system_role='You are a helpful assistant', 
                        model='gpt-3.5-turbo', temperature=1):
    messages = [

Terieyenike

from IPython.display import Image, display
image_path = 'images/triangle2.jpg'
display(Image(image_path, width=400))

import base64
def encode_image(image_path):
    with open(image_path, 'rb') as image_file:
        image_binary_data = image_file.read()
        return base64.b64encode(image_binary_data).decode('utf-8')

Terieyenike

from dotenv import load_dotenv
api_key = os.getenv("OPENAI_API_KEY")
from openai import OpenAI

client = OpenAI()

model = 'gpt-4o'

response = client.chat.completions.create(
    model = model,