Mini-workshop temporarily useful files

hello-ai.py

import os
from openai import AzureOpenAI
from datetime import datetime

# TODO: CONFIGURE ENVIRONMENT for PYTHON: 
# 1. create empty folder, cd into it
# 2. create and activate isolated python environment:
#       python3 -m venv .
#       source bin/activate
# 3. install needed Azure OpenAI packages:
#       pip3 install openai
# 4. copy this file into that folder - hello-ai.py
# 5. run the app:
#       python3 hello-ai.py
# 6. then diagnose and solve the problem of the AI is not responding as instructed
#       see below for the challenge details (search for string "CHALLENGE")


# DO NOT DO THIS IN REAL CODE!
# this is a certified TERRIBLE IDEA (tm) - but makes mini-workshop possible
# key will be rolled (invalidated) right after this mini-workshop
deployment = "tdih-gpt-35-turbo-instruct"
client = AzureOpenAI(
   api_key="8bfe9d6249454b11850be97393c415e1",
   api_version="2024-02-01",
   azure_endpoint = "https://tdih.openai.azure.com/"
)


# output today's date just for fun
print(f"----------------- DEBUG INFO -----------------")
today = datetime.now().strftime("%B %d")
print(f"Today is {today}");
print(f"----------------------------------------------");

# TODO: CHALLENGE 1: does the AI respond accurately to this prompt? How to fix?

prompt = "Tell me an interesting fact from world about an event " \
       "that took place on today's date. " \
       "Be sure to mention the date in history for context. "

max_tokens = 250  # PLEASE DON'T MAKE LARGER THAN 250 (but see what happens at 25)

print(f"PROMPT: \n\n{prompt}")

response = client.completions.create(model=deployment, prompt=prompt, max_tokens=max_tokens)

print(f"\nRESPONSE: {response.choices[0].text}")

print(f"----------------- DEBUG INFO -----------------")
print(f"Tokens used: {response.usage.completion_tokens}/{max_tokens}")
print(f"----------------------------------------------");

Program.cs

using System;

// TODO: CONFIGURE ENVIRONMENT: 
// 1. create empty folder
// 2. generate a console app:
//       dotnet new console
// 3. install needed Azure OpenAI packages:
//       dotnet add package Azure.AI.OpenAI --prerelease
// 4. clobber the contents of Program.cs with the code in this file
//       yes, just copy and paste this code into Program.cs or overwrite it
// 5. run the app:
//       dotnet run
// 6. then diagnose and solve the problem of the AI is not responding as instructed
//       see below for the challenge details (search for string "CHALLENGE")

using Azure;
using Azure.AI.OpenAI;

/* DO NOT DO THIS IN REAL CODE! */
/* this is a certified TERRIBLE IDEA (tm) - but makes mini-workshop possible */
/* key will be rolled (invalidated) right after this mini-workshop */
string? key = "8bfe9d6249454b11850be97393c415e1";
string? endpoint = "https://tdih.openai.azure.com/";
string? deployment = "tdih-gpt-35-turbo-instruct";

// output today's date just for fun
Console.WriteLine($"\n----------------- DEBUG INFO -----------------");
var today = DateTime.Now.ToString("MMMM dd");
Console.WriteLine($"Today is {today}");
Console.WriteLine("----------------------------------------------");


var client = new OpenAIClient(new Uri(endpoint), new AzureKeyCredential(key));

// TODO: CHALLENGE 1: does the AI respond accurately to this prompt? How to fix?
var prompt = $"Tell me an interesting fact from world about an event " +
            $"that took place on today's date. " +
            $"Be sure to mention the date in history for context. ";

CompletionsOptions completionsOptions = new()
{
    DeploymentName = deployment,
    Prompts = { prompt },
    MaxTokens = 250,  // PLEASE DON'T MAKE LARGER THAN 250 (but see what happens at 25)
};

Response<Completions> completionsResponse = client.GetCompletions(completionsOptions);

Console.WriteLine($"\nPROMPT: \n\n{prompt}");

int i = 0;
foreach (var choice in completionsResponse.Value.Choices)
{    
    Console.WriteLine($"\nRESPONSE {++i}/{completionsResponse.Value.Choices.Count}:" +
        $"{choice.Text}");
}

Console.WriteLine($"\n----------------- DEBUG INFO -----------------");
Console.WriteLine($"Tokens used: {completionsResponse.Value.Usage.CompletionTokens}/{completionsOptions.MaxTokens}");
Console.WriteLine("----------------------------------------------");