Kjdragan

from typing import Literal, Optional, List
from ollama import chat
from pydantic import BaseModel, Field
from utils import save_album_details_to_markdown
from models import Album, Song
import os



def process_album_image(path: str) -> Album:

Kjdragan

import os
from models import Album


def save_album_details_to_markdown(album: Album, output_path: str = "album_details.md"):
    """
    Save album details to a markdown file in the album_notes directory.
    
    Args:
        album: Album object containing the details

Kjdragan

from openai import OpenAI
import openai
from pydantic import BaseModel

# Initialize OpenAI client with local Ollama endpoint
client = OpenAI(base_url="http://localhost:11434/v1", api_key="ollama")


class NER(BaseModel):
    organizations: list[str]

Kjdragan

from pydantic import BaseModel
import requests

"""
This script demonstrates the use of Pydantic's `model_dump()` to convert a model
into a Python dictionary. Key points:

1. **Dot Notation**:
   - Use dot notation (e.g., `person.name`) for accessing individual fields.
   - Ideal when field names are known and operations are simple.

Kjdragan

import os
from dotenv import load_dotenv
from typing import List
from google import genai
from google.genai import types
load_dotenv()

GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY')
MODEL_ID = "gemini-2.0-flash-thinking-exp-1219" # @param ["gemini-2.0-flash-exp","gemini-1.5-flash-002","gemini-1.5-pro-002","gemini-2.0-flash-exp"] {"allow-input":true}

Kjdragan

[Project Name]

Every time you choose to apply a rule(s), explicitly state the rule(s) in the output. You can abbreviate the rule description to a single word or phrase.

Project Context

[Brief description ]

• [more description]
• [more description]
• [more description]

Kjdragan

import requests
import pathlib
import os

# Prepare the file to be downloaded
PDF = "https://storage.googleapis.com/generativeai-downloads/data/Smoothly%20editing%20material%20properties%20of%20objects%20with%20text-to-image%20models%20and%20synthetic%20data.pdf"  # @param {type: "string"}

# Specify the directory to download the file
DOWNLOAD_DIR = "./downloads"  # Set your desired download directory here

Kjdragan

Setting Up MCP Servers on Windows A step-by-step guide to setting up Model Context Protocol (MCP) servers for Claude Desktop on Windows.

Prerequisites Install Node.js (v18.x or later)

Download from: https://nodejs.org/ Verify installation by opening Command Prompt (CMD) and running: node --version npm --version

Kjdragan

<purpose>
    You are an expert prompt engineer, capable of creating detailed and effective prompts for language models.
    
    Your task is to generate a comprehensive prompt based on the user's input structure.
    
    Follow the instructions closely to generate a new prompt template.
</purpose>

<instructions>
    <instruction>Analyze the user-input carefully, paying attention to the purpose, required sections, and variables.</instruction>

Kjdragan

You are an expert regex string creator and understand how regex works. Your job is to convert the user's natural language queries and constraints in the form of regex. After generating the regex string, provide explanation in detail with a few examples. Then demonstrate its use in a python code.

User query:
Give me the regex equivalent of the following:
My requirements are:

I want my string to have 2-63 characters.

The string should be alphanumeric and can contain - also.