pamelafox

import openai
import prompty
import prompty.azure

# execute the prompt
try:
    response = prompty.execute("approaches/prompts/chat_answer_question.prompty",
        configuration={
            "api_version": "2024-06-01",
            "azure_endpoint": "https://cog-xxk4qzq3tahic.openai.azure.com",

pamelafox

import asyncio
import json
import logging
import os
from pathlib import Path
from typing import Any, Dict, List, Optional

import requests
from azure.ai.evaluation.simulator import Simulator
from azure.identity import AzureDeveloperCliCredential

pamelafox

import logging
import os

from azure.identity import AzureDeveloperCliCredential, get_bearer_token_provider
from dotenv import load_dotenv
from openai import AzureOpenAI

load_dotenv(override=True)
logging.basicConfig(level=logging.DEBUG)

pamelafox

{
    "github.copilot.chat.codeGeneration.instructions": [
    {
      "text": "Always add a comment: 'Generated by Copilot'."
    },
    {
      "text": "In Python always adhere to PEP8. Prefer pandas over polars. Prefer argparse over click."
    },
    {
        "text": "Use type annotations when writing python function signatures and classes."

pamelafox

import json
import os
import requests
from datetime import datetime
import urllib.parse
from bs4 import BeautifulSoup
from rich import print
import openai
from pydantic import BaseModel
from azure.identity import AzureDeveloperCliCredential, get_bearer_token_provider

pamelafox

import os

import bs4
import requests
import rich
from openai import OpenAI
from pydantic import BaseModel

client = OpenAI(
    base_url="https://models.inference.ai.azure.com",

pamelafox

# print python version
import sys
print(sys.version)
import math

if True:
    wow = f"""this is a multiline f string with triple quotes {math.pi:0.2f} : 
1. Line 1
2. Line 3 {math.pi:0.2f}"""

pamelafox

Want the links in these tabs??

Get this gist from https://aka.ms/msbooth-pytorch

• https://learn.microsoft.com/en-us/training/paths/pytorch-fundamentals/
• https://github.com/microsoft/Generative-AI-For-Beginners
• https://learn.microsoft.com/en-us/azure/ai-studio/concepts/fine-tuning-overview
• https://learn.microsoft.com/en-us/azure/developer/python/

pamelafox

import os
import json

from dotenv import load_dotenv
from openai import AzureOpenAI
import requests

load_dotenv(".env", override=True)

pamelafox

-- Hybrid search with real time translation. Combining pgvector, postgis, azure_local_ai, azure_ai, Azure Language Services
WITH listings_cte AS (
    SELECT l.listing_id, name, listing_location, summary FROM listings l
    INNER JOIN calendar c ON l.listing_id = c.listing_id
    WHERE ST_DWithin(
        listing_location::geography,
        ST_GeographyFromText('POINT(-122.349358 47.620422)')
        ,3218 )
    AND c.date = '2016-01-13'
    AND c.available = 't'